What you need to know about tax incidence

2015-05-092015-05-09 PNRJ core principles, public policy, Top 10 things to know about economics Adam Smith, consumer surplus, deadweight loss, economic surplus, elasticity, equations, land tax, LaTeX, producer surplus, rent, rent control, supply and demand, tax incidence, taxation, taxes

JDN 2457152 EDT 14:54.

I said in my previous post that I consider tax incidence to be one of the top ten things you should know about economics. If I actually try to make a top ten list, I think it goes something like this:

Supply and demand
Monopoly and oligopoly
Externalities
Tax incidence
Utility, especially marginal utility of wealth
Pareto-efficiency
Risk and loss aversion
Biases and heuristics, including sunk-cost fallacy, scope neglect, herd behavior, anchoring and representative heuristic
Asymmetric information
Winner-takes-all effect

So really tax incidence is in my top five things you should know about economics, and yet I still haven’t talked about it very much. Well, today I will. The basic principles of supply and demand I’m basically assuming you know, but I really should spend some more time on monopoly and externalities at some point.

Why is tax incidence so important? Because of one central fact: The person who pays the tax is not the person who writes the check.

It doesn’t matter whether a tax is paid by the buyer or the seller; it matters what the buyer and seller can do to avoid the tax. If you can change your behavior in order to avoid paying the tax—buy less stuff, or buy somewhere else, or deduct something—you will not bear the tax as much as someone else who can’t do anything to avoid the tax, even if you are the one who writes the check. If you can avoid it and they can’t, other parties in the transaction will adjust their prices in order to eat the tax on your behalf.

Thus, if you have a good that you absolutely must buy no matter what—like, say, table salt—and then we make everyone who sells that good pay an extra $5 per kilogram, I can guarantee you that you will pay an extra $5 per kilogram, and the suppliers will make just as much money as they did before. (A salt tax would be an excellent way to redistribute wealth from ordinary people to corporations, if you’re into that sort of thing. Not that we have any trouble doing that in America.)

On the other hand, if you have a good that you’ll only buy at a very specific price—like, say, fast food—then we can make you write the check for a tax of an extra $5 per kilogram you use, and in real terms you’ll pay hardly any tax at all, because the sellers will either eat the cost themselves by lowering the prices or stop selling the product entirely. (A fast food tax might actually be a good idea as a public health measure, because it would reduce production and consumption of fast food—remember, heart disease is one of the leading causes of death in the United States, making cheeseburgers a good deal more dangerous than terrorists—but it’s a bad idea as a revenue measure, because rather than pay it, people are just going to buy and sell less.)

In the limit in which supply and demand are both completely fixed (perfectly inelastic), you can tax however you want and it’s just free redistribution of wealth however you like. In the limit in which supply and demand are both locked into a single price (perfectly elastic), you literally cannot tax that good—you’ll just eliminate production entirely. There aren’t a lot of perfectly elastic goods in the real world, but the closest I can think of is cash. If you instituted a 2% tax on all cash withdrawn, most people would stop using cash basically overnight. If you want a simple way to make all transactions digital, find a way to enforce a cash tax. When you have a perfect substitute available, taxation eliminates production entirely.

To really make sense out of tax incidence, I’m going to need a lot of a neoclassical economists’ favorite thing: Supply and demand curves. These things pop up everywhere in economics; and they’re quite useful. I’m not so sure about their application to things like aggregate demand and the business cycle, for example, but today I’m going to use them for the sort of microeconomic small-market stuff that they were originally designed for; and what I say here is going to be basically completely orthodox, right out of what you’d find in an ECON 301 textbook.

Let’s assume that things are linear, just to make the math easier. You’d get basically the same answers with nonlinear demand and supply functions, but it would be a lot more work. Likewise, I’m going to assume a unit tax on goods—like $2890 per hectare—as opposed to a proportional tax on sales—like 6% property tax—again, for mathematical simplicity.

The next concept I’m going to have to talk about is elasticity—which is the proportional amount that quantity sold changes relative to price. If price increases 2% and you buy 4% less, you have a demand elasticity of -2. If price increases 2% and you buy 1% less, you have a demand elasticity of -1/2. If price increases 3% and you sell 6% more, you have a supply elasticity of 2. If price decreases 5% and you sell 1% less, you have a supply elasticity of 1/5.

Elasticity doesn’t have any units of measurement, it’s just a number—which is part of why we like to use it. It also has some very nice mathematical properties involving logarithms, but we won’t be needing those today.

The price that renters are willing and able to pay, the demand price P_Dwill start at their maximum price, the reserve price P_R, and then it will decrease linearly according to the quantity of land rented Q, according to a linear function (simply because we assumed that) which will vary according to a parameter e that represents the elasticity of demand (it isn’t strictly equal to it, but it’s sort of a linearization).

We’re interested in what is called the consumer surplus; it is equal to the total amount of value that buyers get from their purchases, converted into dollars, minus the amount they had to pay for those purchases. This we add to the producer surplus, which is the amount paid for those purchases minus the cost of producing them—which is basically just the same thing as profit. Togerther the consumer surplus and producer surplus make the total economic surplus, which economists generally try to maximize. Because different people have different marginal utility of wealth, this is actually a really terrible idea for deep and fundamental reasons—taking a house from Mitt Romney and giving it to a homeless person would most definitely reduce economic surplus, even though it would obviously make the world a better place. Indeed, I think that many of the problems in the world, particularly those related to inequality, can be traced to the fact that markets maximize economic surplus rather than actual utility. But for now I’m going to ignore all that, and pretend that maximizing economic surplus is what we want to do.

You can read off the economic surplus straight from the supply and demand curves; it’s the area between the lines. (Mathematically, it’s an integral; but that’s equivalent to the area under a curve, and with straight lines they’re just triangles.) I’m going to call the consumer surplus just “surplus”, and producer surplus I’ll call “profit”.

Below the demand curve and above the price is the surplus, and below the price and above the supply curve is the profit:

I’m going to be bold here and actually use equations! Hopefully this won’t turn off too many readers. I will give each equation in both a simple text format and in proper LaTeX. Remember, you can render LaTeX here.

P_D = P_R– 1/e * Q

P_D = P_R – \frac{1}{e} Q \\

The marginal cost that landlords have to pay, the supply price P_S, is a bit weirder, as I’ll talk about more in a moment. For now let’s say that it is a linear function, starting at zero cost for some quantity Q₀ and then increases linearly according to a parameter n that similarly represents the elasticity of supply.

P_S = 1/n * (Q – Q₀)

P_S = \frac{1}{n} \left( Q – Q_0 \right) \\

Now, if you introduce a tax, there will be a difference between the price that renters pay and the price that landlords receive—namely, the tax, which we’ll call T. I’m going to assume that, on paper, the landlord pays the whole tax. As I said above, this literally does not matter. I could assume that on paper the renter pays the whole tax, and the real effect on the distribution of wealth would be identical. All we’d have to do is set P_D = P and P_S = P – T; the consumer and producer surplus would end up exactly the same. Or we could do something in between, with P’_D = P + rT and P’_S = P – (1 – r) T.

Then, if the market is competitive, we just set the prices equal, taking the tax into account:

P = P_D – T = P_R – 1/e * Q – T = P_S = 1/n * (Q – Q₀)

P= P_D – T = P_R – \frac{1}{e} Q – T= P_S = \frac{1}{n} \left(Q – Q_0 \right) \\

P_R – 1/e * Q – T = 1/n * (Q – Q₀)

P_R – \frac{1}{e} Q – T = \frac{1}{n} \left(Q – Q_0 \right) \\

Notice the equivalency here; if we set P’_D = P + rT and P’_S = P – (1 – r) T, so that the consumer now pays a fraction of the tax r.

P = P’_D – rT = P_r – 1/e*Q = P’_S + (1 – r) T + 1/n * (Q – Q₀) + (1 – r) T

P^\prime_D – r T = P = P_R – \frac{1}{e} Q = P^\prime_S = \frac{1}{n} \left(Q – Q_0 \right) + (1 – r) T\\

The result is exactly the same:

P_R – 1/e * Q – T = 1/n * (Q – Q₀)

P_R – \frac{1}{e} Q – T = \frac{1}{n} \left(Q – Q_0 \right) \\

I’ll spare you the algebra, but this comes out to:

Q = (P_R – T)/(1/n + 1/e) + (Q₀)/(1 + n/e)

Q = \frac{P_R – T}{\frac{1}{n} + \frac{1}{e}} + \frac{Q_0}{1 + \frac{n}{e}}

P = (P_R – T)/(1+ n/e) – (Q₀)/(e + n)

P = \frac{P_R – T}}{1 + \frac{n}{e}} – \frac{Q_0}{e+n} \\

That’s if the market is competitive.

If the market is a monopoly, instead of setting the prices equal, we set the price the landlord receives equal to the marginal revenue—which takes into account the fact that increasing the amount they sell forces them to reduce the price they charge everyone else. Thus, the marginal revenue drops faster than the price as the quantity sold increases.

After a bunch of algebra (and just a dash of calculus), that comes out to these very similar, but not quite identical, equations:

Q = (P_R – T)/(1/n + 2/e) + (Q₀)/(1+ 2n/e)

Q = \frac{P_R – T}{\frac{1}{n} + \frac{2}{e}} + \frac{Q_0}{1 + \frac{2n}{e}} \\

P = (P_R – T)*((1/n + 1/e)/(1/n + 2/e) – (Q₀)/(e + 2n)

P = \left( P_R – T\right)\frac{\frac{1}{n} + \frac{1}{e}}{\frac{1}{n} + \frac{2}{e}} – \frac{Q_0}{e+2n} \\

Yes, it changes some 1s into 2s. That by itself accounts for the full effect of monopoly. That’s why I think it’s worthwhile to use the equations; they are deeply elegant and express in a compact form all of the different cases. They look really intimidating right now, but for most of the cases we’ll consider these general equations simplify quite dramatically.

There are several cases to consider.

Land has an extremely high cost to create—for practical purposes, we can consider its supply fixed, that is, perfectly inelastic. If the market is competitive, so that landlords have no market power, then they will simply rent out all the land they have at whatever price the market will bear:

This is like setting n = 0 and T = 0 in the above equations, the competitive ones.

Q = Q₀

Q = Q_0 \\

P = P_R – Q₀/e

P = P_R – \frac{Q_0}{e} \\

If we now introduce a tax, it will fall completely on the landlords, because they have little choice but to rent out all the land they have, and they can only rent it at a price—including tax—that the market will bear.

Now we still have n = 0 but not T = 0.

Q = Q₀

Q = Q_0 \\

P = P_R – T – Q₀/e

P = P_R – T – \frac{Q_0}{e} \\

The consumer surplus will be:

½ (Q)(P_R – P – T) = 1/(2e)* Q₀²

\frac{1}{2}Q(P_R – P – T) = \frac{1}{2e}Q_0^2 \\

Notice how T isn’t in the result. The consumer surplus is unaffected by the tax.

The producer surplus, on the other hand, will be reduced by the tax:

(Q)(P) = (P_R – T – Q₀/e) Q₀ = P_R Q₀ – 1/e Q₀² – TQ₀

(Q)(P) = (P_R – T – \frac{Q_0}{e})Q_0 = P_R Q_0 – \frac{1}{e} Q_0^2 – T Q_0 \\

T appears linearly as TQ₀, which is the same as the tax revenue. All the money goes directly from the landlord to the government, as we want if our goal is to redistribute wealth without raising rent.

But now suppose that the market is not competitive, and by tacit collusion or regulatory capture the landlords can exert some market power; this is quite likely the case in reality. Actually in reality we’re probably somewhere in between monopoly and competition, either oligopoly or monopolistic competition—which I will talk about a good deal more in a later post, I promise.

It could be that demand is still sufficiently high that even with their market power, landlords have an incentive to rent out all their available land, in which case the result will be the same as in the competitive market.

A tax will then fall completely on the landlords as before:

Indeed, in this case it doesn’t really matter that the market is monopolistic; everything is the same as it would be under a competitive market. Notice how if you set n = 0, the monopolistic equations and the competitive equations come out exactly the same. The good news is, this is quite likely our actual situation! So even in the presence of significant market power the land tax can redistribute wealth in just the way we want.

But there are a few other possibilities. One is that demand is not sufficiently high, so that the landlords’ market power causes them to actually hold back some land in order to raise the price:

This will create some of what we call deadweight loss, in which some economic value is wasted. By restricting the land they rent out, the landlords make more profit, but the harm they cause to tenant is created than the profit they gain, so there is value wasted.

Now instead of setting n = 0, we actually set n = infinity. Why? Because the reason that the landlords restrict the land they sell is that their marginal revenue is actually negative beyond that point—they would actually get less money in total if they sold more land. Instead of being bounded by their cost of production (because they have none, the land is there whether they sell it or not), they are bounded by zero. (Once again we’ve hit upon a fundamental concept in economics, particularly macroeconomics, that I don’t have time to talk about today: the zero lower bound.) Thus, they can change quantity all they want (within a certain range) without changing the price, which is equivalent to a supply elasticity of infinity.

Introducing a tax will then exacerbate this deadweight loss (adding DWL2 to the original DWL1), because it provides even more incentive for the landlords to restrict the supply of land:

Q = e/2*(P_R – T)

Q = \frac{e}{2} \left(P_R – T\right)\\

P = 1/2*(P_R – T)

P = \frac{1}{2} \left(P_R – T\right) \\

The quantity Q₀ completely drops out, because it doesn’t matter how much land is available (as long as it’s enough); it only matters how much land it is profitable to rent out.

We can then find the consumer and producer surplus, and see that they are both reduced by the tax. The consumer surplus is as follows:

½ (Q)(P_R – 1/2(P_R – T)) = e/4*(P_R² – T²)

\frac{1}{2}Q \left( P_R – \frac{1}{2}left( P – T \right) \right) = \frac{e}{4}\left( P_R^2 – T^2 \right) \\

This time, the tax does have an effect on reducing the consumer surplus.

The producer surplus, on the other hand, will be:

(Q)(P) = 1/2*(P_R – T)*e/2*(P_R – T) = e/4*(P_R – T)²

(Q)(P) = \frac{1}{2}\left(P_R – T \right) \frac{e}{2} \left(P_R – T\right) = \frac{e}{4} \left(P_R – T)^2 \\

Notice how it is also reduced by the tax—and no longer in a simple linear way.

The tax revenue is now a function of the demand:

TQ = e/2*T(P_R – T)

T Q = \frac{e}{2} T (P_R – T) \\

If you add all these up, you’ll find that the sum is this:

e/2 * (P_R^2 – T^2)

\frac{e}{2} \left(P_R^2 – T^2 \right) \\

The sum is actually reduced by an amount equal to e/2*T^2, which is the deadweight loss.

Finally there is an even worse scenario, in which the tax is so large that it actually creates an incentive to restrict land where none previously existed:

Notice, however, that because the supply of land is inelastic the deadweight loss is still relatively small compared to the huge amount of tax revenue.

But actually this isn’t the whole story, because a land tax provides an incentive to get rid of land that you’re not profiting from. If this incentive is strong enough, the monopolistic power of landlords will disappear, as the unused land gets sold to more landholders or to the government. This is a way of avoiding the tax, but it’s one that actually benefits society, so we don’t mind incentivizing it.

Now, let’s compare this to our current system of property taxes, which include the value of buildings. Buildings are expensive to create, but we build them all the time; the supply of buildings is strongly dependent upon the price at which those buildings will sell. This makes for a supply curve that is somewhat elastic.

If the market were competitive and we had no taxes, it would be optimally efficient:

Property taxes create an incentive to produce fewer buildings, and this creates deadweight loss. Notice that this happens even if the market is perfectly competitive:

Since both n and e are finite and nonzero, we’d need to use the whole equations: Since the algebra is such a mess, I don’t see any reason to subject you to it; but suffice it to say, the T does not drop out. Tenants do see their consumer surplus reduced, and the larger the tax the more this is so.

Now, suppose that the market for buildings is monopolistic, as it most likely is. This would create deadweight loss even in the absence of a tax:

But a tax will add even more deadweight loss:

Once again, we’d need the full equations, and once again it’s a mess; but the result is, as before, that the tax gets passed on to the tenants in the form of more restricted sales and therefore higher rents.

Because of the finite supply elasticity, there’s no way that the tax can avoid raising the rent. As long as landlords have to pay more taxes when they build more or better buildings, they are going to raise the rent in those buildings accordingly—whether the market is competitive or not.

If the market is indeed monopolistic, there may be ways to bring the rent down: suppose we know what the competitive market price of rent should be, and we can establish rent control to that effect. If we are truly correct about the price to set, this rent control can not only reduce rent, it can actually reduce the deadweight loss:

But if we set the rent control too low, or don’t properly account for the varying cost of different buildings, we can instead introduce a new kind of deadweight loss, by making it too expensive to make new buildings.

In fact, what actually seems to happen is more complicated than that—because otherwise the number of buildings is obviously far too small, rent control is usually set to affect some buildings and not others. So what seems to happen is that the rent market fragments into two markets: One, which is too small, but very good for those few who get the chance to use it; and the other, which is unaffected by the rent control but is more monopolistic and therefore raises prices even further. This is why almost all economists are opposed to rent control (PDF); it doesn’t solve the problem of high rent and simply causes a whole new set of problems.

A land tax with a basic income, on the other hand, would help poor people at least as much as rent control presently does—probably a good deal more—without discouraging the production and maintenance of new apartment buildings.

But now we come to a key point: The land tax must be uniform per hectare.

If it is instead based on the value of the land, then this acts like a finite elasticity of supply; it provides an incentive to reduce the value of your own land in order to avoid the tax. As I showed above, this is particularly pernicious if the market is monopolistic, but even if it is competitive the effect is still there.

One exception I can see is if there are different tiers based on broad classes of land that it’s difficult to switch between, such as “land in Manhattan” versus “land in Brooklyn” or “desert land” versus “forest land”. But even this policy would have to be done very carefully, because any opportunity to substitute can create an opportunity to pass on the tax to someone else—for instance if land taxes are lower in Brooklyn developers are going to move to Brooklyn. Maybe we want that, in which case that is a good policy; but we should be aware of these sorts of additional consequences. The simplest way to avoid all these problems is to simply make the land tax uniform. And given the quantities we’re talking about—less than $3000 per hectare per year—it should be affordable for anyone except the very large landholders we’re trying to distribute wealth from in the first place.

The good news is, most economists would probably be on board with this proposal. After all, the neoclassical models themselves say it would be more efficient than our current system of rent control and property taxes—and the idea is at least as old as Adam Smith. Perhaps we can finally change the fact that the rent is too damn high.

What if you couldn’t own land?

2015-05-01 PNRJ core principles, public policy Adam Smith, basic income, capital gains, capitalism, corporate tax, Eddie Izzard, elasticity, inequality, Jeff Bezos, John Lennon, land, landlord, ownership, Piketty, property, real estate, tax incidence, taxation, taxes, The Guess Who, wealth

JDN 2457145 EDT 20:49.

Today’s post we’re on the socialism scale somewhere near the The Guess Who, but not quite all the way to John Lennon. I’d like to questions one of the fundamental tenets of modern capitalism, but not the basic concept of private ownership itself:

What if you couldn’t own land?

Many things that you can own were more-or-less straightforwardly created by someone. A car, a computer, a television, a pair of shoes; for today let’s even take for granted intellectual property like books, movies, and songs; at least those things (“things”) were actually made by someone.

But land? We’re talking about chunks of the Earth here. They were here billions of years before us, and in all probability will be here billions of years after we’re gone. There’s no need to incentivize its creation; the vast majority of land was already here and did not need to be created. (I do have to say “the vast majority”, because in places like Japan, Hong Kong, and the Netherlands real estate has become so scarce that people do literally build land out into the sea. But this is something like 0.0001% of the world’s land.)

What we want to incentivize is land development; we want it to be profitable to build buildings and irrigate deserts, and yes, even cut down forests sometimes (though then there should be a carbon tax with credits for forested land to ensure that there isn’t too much incentive). Yet our current property tax system doesn’t do this very well; if you build bigger buildings, you end up paying more property taxes. Yes, you may also make some profit on the buildings—but it’s risky, and you may not get enough benefit to justify the added property taxes.

Moreover, we want to allocate land—we want some way of deciding who is allowed to use what land where and when (and perhaps why). Allowing land to be bought and sold is one way to do that, but it is not the only way.

Indeed, land ownership suffers from a couple of truly glaring flaws as an allocation system:

It creates self-perpetuating inequality. Because land grows in value over time (due to population growth and urbanization, among other things), those who currently own land end up getting an ever-growing quantity of wealth while those who do not own land do not, and very likely end up having to pay ever-growing rents to the landlords. (I like calling them “landlords”; it really drives home the fact that our landholding system is still basically the same as it was under feudalism.) In fact, the recent rise in the share of income that goes to owners of capital rather than workers is almost entirely attributable to the rise in the price of real estate. As that post rightly recognizes, this does nothing to undermine Piketty’s central message of rising inequality due to capital income (pace The Washington Post); it merely tells us to focus on real estate instead of other forms of capital.
It has no non-arbitrary allocation. If we want to decide who owns a car, we can ask questions like, “Who built it? Did someone buy it from them? Did they pay a fair price?”; if we want to decide who owns a book, we can ask questions like, “Who wrote it? Did they sell it to a publisher? What was the royalty rate?” That is, there is a clear original owner, and there is a sense of whether the transfer of ownership can be considered fair. But if we want to decide who owns a chunk of land, basically all we can ask is, “What does the deed say?” The owner is the owner because they are the owner; there’s no sense in which that ownership is fair. We certainly can’t go back to the original creation of the land, because that was due to natural forces gigayears ago. If we keep tracing the ownership backward, we will eventually end up with some guy (almost certainly a man, a White man in fact) with a gun who pointed that gun at other people and said, “This is mine.” This is true of basically all the land in the world (aside from those little bits of Japan and such); it was already there, and the only reason someone got to own it was because they said so and had a bigger gun. And a flag, perhaps: “Do you have a flag?” I suppose, in theory at least, there are a few ways of allocating land which seem less arbitrary: One would be to give everyone an equal amount. But this is practically very difficult: What do you do when the population changes? If you have 2% annual population growth, do you carve off 2% of everybody’s lot each year? Another would be to let people squat land, and automatically own the land that they live on—but again practical difficulties quickly become enormous. In any case, these two methods bear about as much resemblance to our actual allocation of land as a squirrel does to a Tyrannosaurus.

So, what else might we use? The system that makes the most sense to me is that we would own all land as a society. In practical terms this would mean that all land is Federal land, and if you want to use it for something, you need to pay rent to the government. There are many different ways the government could set the rent, but the most sensible might be to charge a flat rate per hectare regardless of where the land is or what it’s being used for, because that would maximize the incentive to develop the land. It would also make the rent fall entirely on the landowner, because the rent would be perfectly inelastic—meaning that you can’t change the quantity you make based on the price, because you aren’t making it; it’s just already sitting there.

Of course, this idea is obviously politically impossible in our current environment—or indeed any foreseeable political environment. I’m just fantasizing here, right?

Well, not quite. There is one thing we could do that would be economically quite similar to government-only land ownership; it’s called a land tax. The idea is incredibly simple: you just collect a flat tax per hectare of land. Economists have known that a land tax is efficient at providing revenue and reducing inequality since at least Adam Smith. So maybe ownership of land isn’t actually foundational to capitalism, after all; maybe we’ve just never fully gotten over feudalism. (I basically agree with Adam Smith, and for doing so I am often called a socialist.) The beautiful thing about a land tax is that it has a tax incidence in which the owners of the land end up bearing the full brunt of the tax.

Tax incidence is something it’s very important to understand; it would be on my list of the top ten economic principles that people should learn. We often have fierce political debates over who will actually write the check: Should employers pay the health insurance premium, or should employees? Will buyers pay sales tax, or sellers? Should we tax corporate profits or personal capital gains?

Please understand that I am not exaggerating when I say that these sorts of questions are totally irrelevant. It simply does not matter who actually writes the check; what matters is who bears the cost. Making the employer pay the health insurance premium doesn’t make the slightest difference if all they’re going to do is cut wages by the exact same amount. You can see the irrelevance of the fact that sellers pay sales tax every time you walk into a store—you always end up paying the price plus the tax, don’t you? (I found that the base price of most items was the same between Long Beach and Ann Arbor, but my total expenditure was always 3% more because of the 9% sales tax versus the 6%.) How do we determine who actually pays the tax? It depends on the elasticity—how easily can you change your behavior in order to avoid the tax? Can you find a different job because the health insurance premiums are too high? No? Then you’re probably paying that premium, even if your employer writes the check. If you can find a new job whenever you want, your employer might have to pay it for you even if you write the check.

The incidence of corporate taxes and taxes on capital gains are even more complicated, because it could affect the behavior of corporations in many different ways; indeed, many economists argue that the corporate tax simply results in higher unemployment or lower wages for workers. I don’t think that’s actually true, but I honestly can’t rule it out completely, precisely because corporate taxes are so complicated. You need to know all sorts of things about the structure of stock markets, and the freedom of trade, and the mobility of immigration… it’s a complete and total mess.

It’s because of tax incidence that a land tax makes so much sense; there’s no way for the landowner to escape it, other than giving up the land entirely. In particular, they can’t charge more for rent without being out-competed (unless landowners are really good at colluding—which might be true for large developers, but not individual landlords). Their elasticity is so low that they’re forced to bear the full cost of the tax.

If the land tax were high enough, it could eliminate the automatic growth in wealth that comes from holding land, and thereby reducing long-run inequality dramatically. The revenue could be used for my other favorite fiscal policy, the basic income—and real estate is a big enough part of our nation’s wealth that it’s actually entirely realistic to fund an $8,000 per person per year basic income entirely on land tax revenue. The total value of US land is about $14 trillion, and an $8,000 basic income for 320 million people would cost about $2.6 trillion; that’s only 19%. You’d actually want to make it a flat tax per hectare, so how much would that be? Well, 60% of US land is privately owned at present (no sense taxing the land the government already owns), and total US land area is about 9 million square kilometers, so to raise $2.5 trillion you’d need a tax of $289,000 per square kilometer, or $2,890 per hectare. If you own a hectare—which is bigger than most single-family lots—you’d only pay $2,890 per year in land tax, well within what most middle-class families could handle. But if you own 290,000 acres like Jeff Bezos, (that’s 117,000 hectares) you’re paying $338 million per year. Since Jeff Bezos has about $38 billion in net wealth, he can actually afford to pay that ($338 million per year is about one-tenth of what Jeff Bezos makes automatically on dividends), though he might consider selling off some of the land to avoid the taxes, which is exactly the sort of incentive we wanted to create.

Indeed, when I contemplate this policy I’m struck by the fact that it has basically no downside—usually in public policy you’re forced to make hard compromises and tradeoffs, but a land tax plus basic income is a system that carries almost no downsides at all. It won’t disincentivize investment, it won’t disincentivize working, it will dramatically reduce inequality, it will save the government a great deal of money on social welfare spending, and best of all it will eliminate poverty immediately and forever. The only people it would hurt at all are extremely rich, and they wouldn’t even be hurt very much, while it would benefit millions of people including some of the most needy.

Why aren’t we doing this already!?

Happy Capybara Day! Or the power of culture

2015-04-18 PNRJ cognitive science, core principles, critique of neoclassical economics altruism, behavior, CAPM, Capybara Day, cooperation, Culture, holiday, January Effect, norms, public goods game, Richard Thaler, stock market, tribal paradigm

JDN 2457131 EDT 14:33.

Did you celebrate Capybara Day yesterday? You didn’t? Why not? We weren’t able to find any actual capybaras this year, but maybe next year we’ll be able to plan better and find a capybara at a zoo; unfortunately the nearest zoo with a capybara appears to be in Maryland. But where would we be without a capybara to consult annually on the stock market?

Right now you are probably rather confused, perhaps wondering if I’ve gone completely insane. This is because Capybara Day is a holiday of my own invention, one which only a handful of people have even heard about.

But if you think we’d never have a holiday so bizarre, think again: For all I did was make some slight modifications to Groundhog Day. Instead of consulting a groundhog about the weather every February 2, I proposed that we consult a capybara about the stock market every April 17. And if you think you have some reason why groundhogs are better at predicting the weather (perhaps because they at least have some vague notion of what weather is) than capybaras are at predicting the stock market (since they have no concept of money or numbers), think about this: Capybara Day could produce extremely accurate predictions, provided only that people actually believed it. The prophecy of rising or falling stock prices could very easily become self-fulfilling. If it were a cultural habit of ours to consult capybaras about the stock market, capybaras would become good predictors of the stock market.

That might seem a bit far-fetched, but think about this: Why is there a January Effect? (To be fair, some researchers argue that there isn’t, and the apparent correlation between higher stock prices and the month of January is simply an illusion, perhaps the result of data overfitting.)

But I think it probably is real, and moreover has some very obvious reasons behind it. In this I’m in agreement with Richard Thaler, a founder of cognitive economics who wrote about such anomalies in the 1980s. December is a time when two very culturally-important events occur: The end of the year, during which many contracts end, profits are assessed, and tax liabilities are determined; and Christmas, the greatest surge of consumer spending and consumer debt.

The first effect means that corporations are very likely to liquidate assets—particularly assets that are running at a loss—in order to minimize their tax liabilities for the year, which will drive down prices. The second effect means that consumers are in search of financing for extravagant gift purchases, and those who don’t run up credit cards may instead sell off stocks. This is if anything a more rational way of dealing with the credit constraint, since interest rates on credit cards are typically far in excess of stock returns. But this surge of selling due to credit constraints further depresses prices.

In January, things return to normal; assets are repurchased, debt is repaid. This brings prices back up to where they were, which results in a higher than normal return for January.

Neoclassical economists are loath to admit that such a seasonal effect could exist, because it violates their concept of how markets work—and to be fair, the January Effect is actually weak enough to be somewhat ambiguous. But actually it doesn’t take much deviation from neoclassical models to explain the effect: Tax policies and credit constraints are basically enough to do it, so you don’t even need to go that far into understanding human behavior. It’s perfectly rational to behave this way given the distortions that are created by taxes and credit limits, and the arbitrage opportunity is one that you can only take advantage of if you have large amounts of credit and aren’t worried about minimizing your tax liabilities. It’s important to remember just how strong the assumptions of models like CAPM truly are; in addition to the usual infinite identical psychopaths, CAPM assumes there are no taxes, no transaction costs, and unlimited access to credit. I’d say it’s amazing that it works at all, but actually, it doesn’t—check out this graph of risk versus return and tell me if you think CAPM is actually giving us any information at all about how stock markets behave. It frankly looks like you could have drawn a random line through a scatter plot and gotten just as good a fit. Knowing how strong its assumptions are, we would not expect CAPM to work—and sure enough, it doesn’t.

Of course, that leaves the question of why our tax policy would be structured in this way—why make the year end on December 31 instead of some other date? And for that, you need to go back through hundreds of years of history, the Gregorian calendar, which in turn was influenced by Christianity, and before that the Julian calendar—in other words, culture.

Culture is one of the most powerful forces that influences human behavior—and also one of the strangest and least-understood. Economic theory is basically silent on the matter of culture. Typically it is ignored entirely, assumed to be irrelevant against the economic incentives that are the true drivers of human action. (There’s a peculiar emotion many neoclassical economists express that I can best describe as self-righteous cynicism, the attitude that we alone—i.e., economists—understand that human beings are not the noble and altruistic creatures many imagine us to be, nor beings of art and culture, but simply cold, calculating machines whose true motives are reducible to profit incentives—and all who think otherwise are being foolish and naïve; true enlightenment is understanding that human beings are infinite identical psychopaths. This is the attitude epitomized by the economist who once sent me an email with “altruism” written in scare quotes.)

Occasionally culture will be invoked as an external (in jargon, exogenous) force, to explain some aspect of human behavior that is otherwise so totally irrational that even invoking nonsensical preferences won’t make it go away. When a suicide bomber blows himself up in a crowd of people, it’s really pretty hard to explain that in terms of rational profit incentives—though I have seen it tried. (It could be self-interest at a larger scale, like families or nations—but then, isn’t that just the tribal paradigm I’ve been arguing for all along?)

But culture doesn’t just motivate us to do extreme or wildly irrational things. It motivates us all the time, often in quite beneficial ways; we wait in line, hold doors for people walking behind us, tip waiters who serve us, and vote in elections, not because anyone pressures us directly to do so (unlike say Australia we do not have compulsory voting) but because it’s what we feel we ought to do. There is a sense of altruism—and altruism provides the ultimate justification for why it is right to do these things—but the primary motivator in most cases is culture—that’s what people do, and are expected to do, around here.

Indeed, even when there is a direct incentive against behaving a certain way—like criminal penalties against theft—the probability of actually suffering a direct penalty is generally so low that it really can’t be our primary motivation. Instead, the reason we don’t cheat and steal is that we think we shouldn’t, and a major part of why we think we shouldn’t is that we have cultural norms against it.

We can actually observe differences in cultural norms across countries in the laboratory. In this 2008 study by Massimo Castro (PDF) comparing British and Italian people playing an economic game called the public goods game in which you can pay a cost yourself to benefit the group as a whole, it was found not only that people were less willing to benefit groups of foreigners than groups of compatriots, British people were overall more generous than Italian people. This 2010 study by Gachter et. al. (actually Joshua Greene talked about it last week) compared how people play the game in various cities, they found three basic patterns: In Western European and American cities such as Zurich, Copenhagen and Boston, cooperation started out high and remained high throughout; people were just cooperative in general. In Asian cities such as Chengdu and Seoul, cooperation started out low, but if people were punished for not cooperating, cooperation would improve over time, eventually reaching about the same place as in the highly cooperative cities. And in Mediterranean cities such as Istanbul, Athens, and Riyadh, cooperation started low and stayed low—even when people could be punished for not cooperating, nobody actually punished them. (These patterns are broadly consistent with the World Bank corruption ratings of these regions, by the way; Western Europe shows very low corruption, while Asia and the Mediterranean show high corruption. Of course this isn’t all that’s going on—and Asia isn’t much less corrupt than the Middle East, while this experiment might make you think so.)

Interestingly, these cultural patterns showed Melbourne as behaving more like an Asian city than a Western European one—perhaps being in the Pacific has worn off on Australia more than they realize.

This is very preliminary, cutting-edge research I’m talking about, so be careful about drawing too many conclusions. But in general we’ve begun to find some fairly clear cultural differences in economic behavior across different societies. While this would not be at all surprising to a sociologist or anthropologist, it’s the sort of thing that economists have insisted for years is impossible.

This is the frontier of cognitive economics, in my opinion. We know that culture is a very powerful motivator of our behavior, and it is time for us to understand how it works—and then, how it can be changed. We know that culture can be changed—cultural norms do change over time, sometimes remarkably rapidly; but we have only a faint notion of how or why they change. Changing culture has the power to do things that simply changing policy cannot, however; policy requires enforcement, and when the enforcement is removed the behavior will often disappear. But if a cultural norm can be imparted, it could sustain itself for a thousand years without any government action at all.

In honor of Pi Day, I for one welcome our new robot overlords

2015-03-15 PNRJ core principles automation, basic income, capitalism, computers, cyberpunk, David Card, golden parachute, innovation, intellectual property, Internet, Jonas Salk, learned helplessness, Luddites, network externalities, Nikola Tesla, patent, polio vaccine, property, rent, robots, skill-biased technological change, technology, Thomas Edison, winner takes all

JDN 2457096 EDT 16:08

Despite my preference to use the Julian Date Number system, it has not escaped my attention that this weekend was Pi Day of the Century, 3/14/15. Yesterday morning we had the Moment of Pi: 3/14/15 9:26:53.58979… We arguably got an encore that evening if we allow 9:00 PM instead of 21:00.

Though perhaps it is a stereotype and/or cheesy segue, pi and associated mathematical concepts are often associated with computers and robots. Robots are an increasing part of our lives, from the industrial robots that manufacture our cars to the precision-timed satellites that provide our GPS navigation. When you want to know how to get somewhere, you pull out your pocket thinking machine and ask it to commune with the space robots who will guide you to your destination.

There are obvious upsides to these robots—they are enormously productive, and allow us to produce great quantities of useful goods at astonishingly low prices, including computers themselves, creating a positive feedback loop that has literally lowered the price of a given amount of computing power by a factor of one trillion in the latter half of the 20^th century. We now very much live in the early parts of a cyberpunk future, and it is due almost entirely to the power of computer automation.

But if you know your SF you may also remember another major part of cyberpunk futures aside from their amazing technology; they also tend to be dystopias, largely because of their enormous inequality. In the cyberpunk future corporations own everything, governments are virtually irrelevant, and most individuals can barely scrape by—and that sounds all too familiar, doesn’t it? This isn’t just something SF authors made up; there really are a number of ways that computer technology can exacerbate inequality and give more power to corporations.

Why? The reason that seems to get the most attention among economists is skill-biased technological change; that’s weird because it’s almost certainly the least important. The idea is that computers can automate many routine tasks (no one disputes that part) and that routine tasks tend to be the sort of thing that uneducated workers generally do more often than educated ones (already this is looking fishy; think about accountants versus artists). But educated workers are better at using computers and the computers need people to operate them (clearly true). Hence while uneducated workers are substitutes for computers—you can use the computers instead—educated workers are complements for computers—you need programmers and engineers to make the computers work. As computers get cheaper, their substitutes also get cheaper—and thus wages for uneducated workers go down. But their complements get more valuable—and so wages for educated workers go up. Thus, we get more inequality, as high wages get higher and low wages get lower.

Or, to put it more succinctly, robots are taking our jobs. Not all our jobs—actually they’re creating jobs at the top for software programmers and electrical engineers—but a lot of our jobs, like welders and metallurgists and even nurses. As the technology improves more and more jobs will be replaced by automation.

The theory seems plausible enough—and in some form is almost certainly true—but as David Card has pointed out, this fails to explain most of the actual variation in inequality in the US and other countries. Card is one of my favorite economists; he is also famous for completely revolutionizing the economics of minimum wage, showing that prevailing theory that minimum wages must hurt employment simply doesn’t match the empirical data.

If it were just that college education is getting more valuable, we’d see a rise in income for roughly the top 40%, since over 40% of American adults have at least an associate’s degree. But we don’t actually see that; in fact contrary to popular belief we don’t even really see it in the top 1%. The really huge increases in income for the last 40 years have been at the top 0.01%—the top 1% of 1%.

Many of the jobs that are now automated also haven’t seen a fall in income; despite the fact that high-frequency trading algorithms do what stockbrokers do a thousand times better (“better” at making markets more unstable and siphoning wealth from the rest of the economy that is), stockbrokers have seen no such loss in income. Indeed, they simply appropriate the additional income from those computer algorithms—which raises the question why welders couldn’t do the same thing. And indeed, I’ll get to in a moment why that is exactly what we must do, that the robot revolution must also come with a revolution in property rights and income distribution.

No, the real reasons why technology exacerbates inequality are twofold: Patent rents and the winner-takes-all effect.

In an earlier post I already talked about the winner-takes-all effect, so I’ll just briefly summarize it this time around. Under certain competitive conditions, a small fraction of individuals can reap a disproportionate share of the rewards despite being only slightly more productive than those beneath them. This often happens when we have network externalities, in which a product becomes more valuable when more people use it, thus creating a positive feedback loop that makes the products which are already successful wildly so and the products that aren’t successful resigned to obscurity.

Computer technology—more specifically, the Internet—is particularly good at creating such situations. Facebook, Google, and Amazon are all examples of companies that (1) could not exist without Internet technology and (2) depend almost entirely upon network externalities for their business model. They are the winners who take all; thousands of other software companies that were just as good or nearly so are now long forgotten. The winners are not always the same, because the system is unstable; for instance MySpace used to be much more important—and much more profitable—until Facebook came along.

But the fact that a different handful of upper-middle-class individuals can find themselves suddenly and inexplicably thrust into fame and fortune while the rest of us toil in obscurity really isn’t much comfort, now is it? While technically the rise and fall of MySpace can be called “income mobility”, it’s clearly not what we actually mean when we say we want a society with a high level of income mobility. We don’t want a society where the top 10% can by little more than chance find themselves becoming the top 0.01%; we want a society where you don’t have to be in the top 10% to live well in the first place.

Even without network externalities the Internet still nurtures winner-takes-all markets, because digital information can be copied infinitely. When it comes to sandwiches or even cars, each new one is costly to make and costly to transport; it can be more cost-effective to choose the ones that are made near you even if they are of slightly lower quality. But with books (especially e-books), video games, songs, or movies, each individual copy costs nothing to create, so why would you settle for anything but the best? This may well increase the overall quality of the content consumers get—but it also ensures that the creators of that content are in fierce winner-takes-all competition. Hence J.K. Rowling and James Cameron on the one hand, and millions of authors and independent filmmakers barely scraping by on the other. Compare a field like engineering; you probably don’t know a lot of rich and famous engineers (unless you count engineers who became CEOs like Bill Gates and Thomas Edison), but nor is there a large segment of “starving engineers” barely getting by. Though the richest engineers (CEOs excepted) are not nearly as rich as the richest authors, the typical engineer is much better off than the typical author, because engineering is not nearly as winner-takes-all.

But the main topic for today is actually patent rents. These are a greatly underappreciated segment of our economy, and they grow more important all the time. A patent rent is more or less what it sounds like; it’s the extra money you get from owning a patent on something. You can get that money either by literally renting it—charging license fees for other companies to use it—or simply by being the only company who is allowed to manufacture something, letting you sell it at monopoly prices. It’s surprisingly difficult to assess the real value of patent rents—there’s a whole literature on different econometric methods of trying to tackle this—but one thing is clear: Some of the largest, wealthiest corporations in the world are built almost entirely upon patent rents. Drug companies, R&D companies, software companies—even many manufacturing companies like Boeing and GM obtain a substantial portion of their income from patents.

What is a patent? It’s a rule that says you “own” an idea, and anyone else who wants to use it has to pay you for the privilege. The very concept of owning an idea should trouble you—ideas aren’t limited in number, you can easily share them with others. But now think about the fact that most of these patents are owned by corporations—not by inventors themselves—and you’ll realize that our system of property rights is built around the notion that an abstract entity can own an idea—that one idea can own another.

The rationale behind patents is that they are supposed to provide incentives for innovation—in exchange for investing the time and effort to invent something, you receive a certain amount of time where you get to monopolize that product so you can profit from it. But how long should we give you? And is this really the best way to incentivize innovation?

I contend it is not; when you look at the really important world-changing innovations, very few of them were done for patent rents, and virtually none of them were done by corporations. Jonas Salk was indignant at the suggestion he should patent the polio vaccine; it might have made him a billionaire, but only by letting thousands of children die. (To be fair, here’s a scholar arguing that he probably couldn’t have gotten the patent even if he wanted to—but going on to admit that even then the patent incentive had basically nothing to do with why penicillin and the polio vaccine were invented.)

Who landed on the moon? Hint: It wasn’t Microsoft. Who built the Hubble Space Telescope? Not Sony. The Internet that made Google and Facebook possible was originally invented by DARPA. Even when corporations seem to do useful innovation, it’s usually by profiting from the work of individuals: Edison’s corporation stole most of its good ideas from Nikola Tesla, and by the time the Wright Brothers founded a company their most important work was already done (though at least then you could argue that they did it in order to later become rich, which they ultimately did). Universities and nonprofits brought you the laser, light-emitting diodes, fiber optics, penicillin and the polio vaccine. Governments brought you liquid-fuel rockets, the Internet, GPS, and the microchip. Corporations brought you, uh… Viagra, the Snuggie, and Furbies. Indeed, even Google’s vaunted search algorithms were originally developed by the NSF. I can think of literally zero examples of a world-changing technology that was actually invented by a corporation in order to secure a patent. I’m hesitant to say that none exist, but clearly the vast majority of seminal inventions have been created by governments and universities.

This has always been true throughout history. Rome’s fire departments were notorious for shoddy service—and wholly privately-owned—but their great aqueducts that still stand today were built as government projects. When China invented paper, turned it into money, and defended it with the Great Wall, it was all done on government funding.

The whole idea that patents are necessary for innovation is simply a lie; and even the idea that patents lead to more innovation is quite hard to defend. Imagine if instead of letting Google and Facebook patent their technology all the money they receive in patent rents were instead turned into tax-funded research—frankly is there even any doubt that the results would be better for the future of humanity? Instead of better ad-targeting algorithms we could have had better cancer treatments, or better macroeconomic models, or better spacecraft engines.

When they feel their “intellectual property” (stop and think about that phrase for awhile, and it will begin to seem nonsensical) has been violated, corporations become indignant about “free-riding”; but who is really free-riding here? The people who copy music albums for free—because they cost nothing to copy, or the corporations who make hundreds of billions of dollars selling zero-marginal-cost products using government-invented technology over government-funded infrastructure? (Many of these companies also continue receive tens or hundreds of millions of dollars in subsidies every year.) In the immortal words of Barack Obama, “you didn’t build that!”

Strangely, most economists seem to be supportive of patents, despite the fact that their own neoclassical models point strongly in the opposite direction. There’s no logical connection between the fixed cost of inventing a technology and the monopoly rents that can be extracted from its patent. There is some connection—albeit a very weak one—between the benefits of the technology and its monopoly profits, since people are likely to be willing to pay more for more beneficial products. But most of the really great benefits are either in the form of public goods that are unenforceable even with patents (go ahead, try enforcing on that satellite telescope on everyone who benefits from its astronomical discoveries!) or else apply to people who are so needy they can’t possibly pay you (like anti-malaria drugs in Africa), so that willingness-to-pay link really doesn’t get you very far.

I guess a lot of neoclassical economists still seem to believe that willingness-to-pay is actually a good measure of utility, so maybe that’s what’s going on here; if it were, we could at least say that patents are a second-best solution to incentivizing the most important research.

But even then, why use second-best when you have best? Why not devote more of our society’s resources to governments and universities that have centuries of superior track record in innovation? When this is proposed the deadweight loss of taxation is always brought up, but somehow the deadweight loss of monopoly rents never seems to bother anyone. At least taxes can be designed to minimize deadweight loss—and democratic governments actually have incentives to do that; corporations have no interest whatsoever in minimizing the deadweight loss they create so long as their profit is maximized.

I’m not saying we shouldn’t have corporations at all—they are very good at one thing and one thing only, and that is manufacturing physical goods. Cars and computers should continue to be made by corporations—but their technologies are best invented by government. Will this dramatically reduce the profits of corporations? Of course—but I have difficulty seeing that as anything but a good thing.

Why am I talking so much about patents, when I said the topic was robots? Well, it’s typically because of the way these patents are assigned that robots taking people’s jobs becomes a bad thing. The patent is owned by the company, which is owned by the shareholders; so when the company makes more money by using robots instead of workers, the workers lose.

If when a robot takes your job, you simply received the income produced by the robot as capital income, you’d probably be better off—you get paid more and you also don’t have to work. (Of course, if you define yourself by your career or can’t stand the idea of getting “handouts”, you might still be unhappy losing your job even though you still get paid for it.)

There’s a subtler problem here though; robots could have a comparative advantage without having an absolute advantage—that is, they could produce less than the workers did before, but at a much lower cost. Where it cost $5 million in wages to produce $10 million in products, it might cost only $3 million in robot maintenance to produce $9 million in products. Hence you can’t just say that we should give the extra profits to the workers; in some cases those extra profits only exist because we are no longer paying the workers.

As a society, we still want those transactions to happen, because producing less at lower cost can still make our economy more efficient and more productive than it was before. Those displaced workers can—in theory at least—go on to other jobs where they are needed more.

The problem is that this often doesn’t happen, or it takes such a long time that workers suffer in the meantime. Hence the Luddites; they don’t want to be made obsolete even if it does ultimately make the economy more productive.

But this is where patents become important. The robots were probably invented at a university, but then a corporation took them and patented them, and is now selling them to other corporations at a monopoly price. The manufacturing company that buys the robots now has to spend more in order to use the robots, which drives their profits down unless they stop paying their workers.

If instead those robots were cheap because there were no patents and we were only paying for the manufacturing costs, the workers could be shareholders in the company and the increased efficiency would allow both the employers and the workers to make more money than before.

What if we don’t want to make the workers into shareholders who can keep their shares after they leave the company? There is a real downside here, which is that once you get your shares, why stay at the company? We call that a “golden parachute” when CEOs do it, which they do all the time; but most economists are in favor of stock-based compensation for CEOs, and once again I’m having trouble seeing why it’s okay when rich people do it but not when middle-class people do.

Another alternative would be my favorite policy, the basic income: If everyone knows they can depend on a basic income, losing your job to a robot isn’t such a terrible outcome. If the basic income is designed to grow with the economy, then the increased efficiency also raises everyone’s standard of living, as economic growth is supposed to do—instead of simply increasing the income of the top 0.01% and leaving everyone else where they were. (There is a good reason not to make the basic income track economic growth too closely, namely the business cycle; you don’t want the basic income payments to fall in a recession, because that would make the recession worse. Instead they should be smoothed out over multiple years or designed to follow a nominal GDP target, so that they continue to rise even in a recession.)

We could also combine this with expanded unemployment insurance (explain to me again why you can’t collect unemployment if you weren’t working full-time before being laid off, even if you wanted to be or you’re a full-time student?) and active labor market policies that help people re-train and find new and better jobs. These policies also help people who are displaced for reasons other than robots making their jobs obsolete—obviously there are all sorts of market conditions that can lead to people losing their jobs, and many of these we actually want to happen, because they involve reallocating the resources of our society to more efficient ends.

Why aren’t these sorts of policies on the table? I think it’s largely because we don’t think of it in terms of distributing goods—we think of it in terms of paying for labor. Since the worker is no longer laboring, why pay them?

This sounds reasonable at first, but consider this: Why give that money to the shareholder? What did they do to earn it? All they do is own a piece of the company. They may not have contributed to the goods at all. Honestly, on a pay-for-work basis, we should be paying the robot!

If it bothers you that the worker collects dividends even when he’s not working—why doesn’t it bother you that shareholders do exactly the same thing? By definition, a shareholder is paid according to what they own, not what they do. All this reform would do is make workers into owners.

If you justify the shareholder’s wealth by his past labor, again you can do exactly the same to justify worker shares. (And as I said above, if you’re worried about the moral hazard of workers collecting shares and leaving, you should worry just as much about golden parachutes.)

You can even justify a basic income this way: You paid taxes so that you could live in a society that would protect you from losing your livelihood—and if you’re just starting out, your parents paid those taxes and you will soon enough. Theoretically there could be “welfare queens” who live their whole lives on the basic income, but empirical data shows that very few people actually want to do this, and when given opportunities most people try to find work. Indeed, even those who don’t, rarely seem to be motivated by greed (even though, capitalists tell us, “greed is good”); instead they seem to be de-motivated by learned helplessness after trying and failing for so long. They don’t actually want to sit on the couch all day and collect welfare payments; they simply don’t see how they can compete in the modern economy well enough to actually make a living from work.

One thing is certain: We need to detach income from labor. As a society we need to get over the idea that a human being’s worth is decided by the amount of work they do for corporations. We need to get over the idea that our purpose in life is a job, a career, in which our lives are defined by the work we do that can be neatly monetized. (I admit, I suffer from the same cultural blindness at times, feeling like a failure because I can’t secure the high-paying and prestigious employment I want. I feel this clear sense that my society does not value me because I am not making money, and it damages my ability to value myself.)

As robots do more and more of our work, we will need to redefine the way we live by something else, like play, or creativity, or love, or compassion. We will need to learn to see ourselves as valuable even if nothing we do ever sells for a penny to anyone else.

A basic income can help us do that; it can redefine our sense of what it means to earn money. Instead of the default being that you receive nothing because you are worthless unless you work, the default is that you receive enough to live on because you are a human being of dignity and a citizen. This is already the experience of people who have substantial amounts of capital income; they can fall back on their dividends if they ever can’t or don’t want to find employment. A basic income would turn us all into capital owners, shareholders in the centuries of established capital that has been built by our forebears in the form of roads, schools, factories, research labs, cars, airplanes, satellites, and yes—robots.

Oppression is quantitative.

2015-02-28 PNRJ core principles altruism, atheism, basic income, cost-benefit analysis, disability, homophobia, Less Wrong, oppression, Oppression Olympics, Oscar Wilde, politics is the mind killer, poverty, progress, QALY, quantitative, racism, sexism, The Culture

JDN 2457082 EDT 11:15.

Economists are often accused of assigning dollar values to everything, of being Oscar Wilde’s definition of a cynic, someone who knows the price of everything and the value of nothing. And there is more than a little truth to this, particularly among neoclassical economists; I was alarmed a few days ago to receive an email response from an economist that included the word ‘altruism’ in scare quotes as though this were somehow a problematic or unrealistic concept. (Actually, altruism is already formally modeled by biologists, and my claim that human beings are altruistic would be so uncontroversial among evolutionary biologists as to be considered trivial.)

But sometimes this accusation is based upon things economists do that is actually tremendously useful, even necessary to good policymaking: We make everything quantitative. Nothing is ever “yes” or “no” to an economist (sometimes even when it probably should be; the debate among economists in the 1960s over whether slavery is economically efficient does seem rather beside the point), but always more or less; never good or bad but always better or worse. For example, as I discussed in my post on minimum wage, the mainstream position among economists is not that minimum wage is always harmful nor that minimum wage is always beneficial, but that minimum wage is a policy with costs and benefits that on average neither increases nor decreases unemployment. The mainstream position among economists about climate policy is that we should institute either a high carbon tax or a system of cap-and-trade permits; no economist I know wants us to either do nothing and let the market decide (a position most Republicans currently seem to take) or suddenly ban coal and oil (the latter is a strawman position I’ve heard environmentalists accused of, but I’ve never actually heard advocated; even Greenpeace wants to ban offshore drilling, not oil in general.).

This makes people uncomfortable, I think, because they want moral issues to be simple. They want “good guys” who are always right and “bad guys” who are always wrong. (Speaking of strawman environmentalism, a good example of this is Captain Planet, in which no one ever seems to pollute the environment in order to help people or even in order to make money; no, they simply do it because the hate clean water and baby animals.) They don’t want to talk about options that are more good or less bad; they want one option that is good and all other options that are bad.

This attitude tends to become infused with righteousness, such that anyone who disagrees is an agent of the enemy. Politics is the mind-killer, after all. If you acknowledge that there might be some downside to a policy you agree with, that’s like betraying your team.

But in reality, the failure to acknowledge downsides can lead to disaster. Problems that could have been prevented are instead ignored and denied. Getting the other side to recognize the downsides of their own policies might actually help you persuade them to your way of thinking. And appreciating that there is a continuum of possibilities that are better and worse in various ways to various degrees is what allows us to make the world a better place even as we know that it will never be perfect.

There is a common refrain you’ll hear from a lot of social justice activists which sounds really nice and egalitarian, but actually has the potential to completely undermine the entire project of social justice.

This is the idea that oppression can’t be measured quantitatively, and we shouldn’t try to compare different levels of oppression. The notion that some people are more oppressed than others is often derided as the Oppression Olympics. (Some use this term more narrowly to mean when a discussion is derailed by debate over who has it worse—but then the problem is really discussions being derailed, isn’t it?)

This sounds nice, because it means we don’t have to ask hard questions like, “Which is worse, sexism or racism?” or “Who is worse off, people with cancer or people with diabetes?” These are very difficult questions, and maybe they aren’t the right ones to ask—after all, there’s no reason to think that fighting racism and fighting sexism are mutually exclusive; they can in fact be complementary. Research into cancer only prevents us from doing research into diabetes if our total research budget is fixed—this is more than anything else an argument for increasing research budgets.

But we must not throw out the baby with the bathwater. Oppression is quantitative. Some kinds of oppression are clearly worse than others.

Why is this important? Because otherwise you can’t measure progress. If you have a strictly qualitative notion of oppression where it’s black-and-white, on-or-off, oppressed-or-not, then we haven’t made any progress on just about any kind of oppression. There is still racism, there is still sexism, there is still homophobia, there is still religious discrimination. Maybe these things will always exist to some extent. This makes the fight for social justice a hopeless Sisyphean task.

But in fact, that’s not true at all. We’ve made enormous progress. Unbelievably fast progress. Mind-boggling progress. For hundreds of millennia humanity made almost no progress at all, and then in the last few centuries we have suddenly leapt toward justice.

Sexism used to mean that women couldn’t own property, they couldn’t vote, they could be abused and raped with impunity—or even beaten or killed for being raped (which Saudi Arabia still does by the way). Now sexism just means that women aren’t paid as well, are underrepresented in positions of power like Congress and Fortune 500 CEOs, and they are still sometimes sexually harassed or raped—but when men are caught doing this they go to prison for years. This change happened in only about 100 years. That’s fantastic.

Racism used to mean that Black people were literally property to be bought and sold. They were slaves. They had no rights at all, they were treated like animals. They were frequently beaten to death. Now they can vote, hold office—one is President!—and racism means that our culture systematically discriminates against them, particularly in the legal system. Racism used to mean you could be lynched; now it just means that it’s a bit harder to get a job and the cops will sometimes harass you. This took only about 200 years. That’s amazing.

Homophobia used to mean that gay people were criminals. We could be sent to prison or even executed for the crime of making love in the wrong way. If we were beaten or murdered, it was our fault for being faggots. Now, homophobia means that we can’t get married in some states (and fewer all the time!), we’re depicted on TV in embarrassing stereotypes, and a lot of people say bigoted things about us. This has only taken about 50 years! That’s astonishing.

And above all, the most extreme example: Religious discrimination used to mean you could be burned at the stake for not being Catholic. It used to mean—and in some countries still does mean—that it’s illegal to believe in certain religions. Now, it means that Muslims are stereotyped because, well, to be frank, there are some really scary things about Muslim culture and some really scary people who are Muslim leaders. (Personally, I think Muslims should be more upset about Ahmadinejad and Al Qaeda than they are about being profiled in airports.) It means that we atheists are annoyed by “In God We Trust”, but we’re no longer burned at the stake. This has taken longer, more like 500 years. But even though it took a long time, I’m going to go out on a limb and say that this progress is wonderful.

Obviously, there’s a lot more progress remaining to be made on all these issues, and others—like economic inequality, ableism, nationalism, and animal rights—but the point is that we have made a lot of progress already. Things are better than they used to be—a lot better—and keeping this in mind will help us preserve the hope and dedication necessary to make things even better still.

If you think that oppression is either-or, on-or-off, you can’t celebrate this progress, and as a result the whole fight seems hopeless. Why bother, when it’s always been on, and will probably never be off? But we started with oppression that was absolutely horrific, and now it’s considerably milder. That’s real progress. At least within the First World we have gone from 90% oppressed to 25% oppressed, and we can bring it down to 10% or 1% or 0.1% or even 0.01%. Those aren’t just numbers, those are the lives of millions of people. As democracy spreads worldwide and poverty is eradicated, oppression declines. Step by step, social changes are made, whether by protest marches or forward-thinking politicians or even by lawyers and lobbyists (they aren’t all corrupt).

And indeed, a four-year-old Black girl with a mental disability living in Ghana whose entire family’s income is $3 a day is more oppressed than I am, and not only do I have no qualms about saying that, it would feel deeply unseemly to deny it. I am not totally unoppressed—I am a bisexual atheist with chronic migraines and depression in a country that is suspicious of atheists, systematically discriminates against LGBT people, and does not make proper accommodations for chronic disorders, particularly mental ones. But I am far less oppressed, and that little girl (she does exist, though I know not her name) could be made much less oppressed than she is even by relatively simple interventions (like a basic income). In order to make her fully and totally unoppressed, we would need such a radical restructuring of human society that I honestly can’t really imagine what it would look like. Maybe something like The Culture? Even then as Iain Banks imagines it, there is inequality between those within The Culture and those outside it, and there have been wars like the Idiran-Culture War which killed billions, and among those trillions of people on thousands of vast orbital habitats someone, somewhere is probably making a speciesist remark. Yet I can state unequivocally that life in The Culture would be better than my life here now, which is better than the life of that poor disabled girl in Ghana.

To be fair, we can’t actually put a precise number on it—though many economists try, and one of my goals is to convince them to improve their methods so that they stop using willingness-to-pay and instead try to actually measure utility by something like QALY. A precise number would help, actually—it would allow us to do cost-benefit analyses to decide where to focus our efforts. But while we don’t need a precise number to tell when we are making progress, we do need to acknowledge that there are degrees of oppression, some worse than others.

Oppression is quantitative. And our goal should be minimizing that quantity.

The irrationality of racism

2015-01-162015-04-04 PNRJ core principles, heuristics and biases ancestry, birthday, Black, convergent evolution, Culture, evolution, Flynn Effect, genetics, identity, IQ, irrational, Krugman, Pareto-efficiency, population, privilege, racism, rational, sexism, society, solidarity, tribal paradigm, White, White privilege

JDN 2457039 EST 12:07.

I thought about making today’s post about the crazy currency crisis in Switzerland, but currency exchange rates aren’t really my area of expertise; this is much more in Krugman’s bailiwick, so you should probably read what Krugman says about the situation. There is one thing I’d like to say, however: I think there is a really easy way to create credible inflation and boost aggregate demand, but for some reason nobody is ever willing to do it: Give people money. Emphasis here on the people—not banks. Don’t adjust interest rates or currency pegs, don’t engage in quantitative easing. Give people money. Actually write a bunch of checks, presumably in the form of refundable tax rebates.

The only reason I can think of that economists don’t do this is they are afraid of helping poor people. They wouldn’t put it that way; maybe they’d say they want to avoid “moral hazard” or “perverse incentives”. But those fears didn’t stop them from loaning $2 trillion to banks or adding $4 trillion to the monetary base; they didn’t stop them from fighting for continued financial deregulation when what the world economy most desperately needs is stronger financial regulation. Our whole derivatives market practically oozes moral hazard and perverse incentives, but they aren’t willing to shut down that quadrillion-dollar con game. So that can’t be the actual fear. No, it has to be a fear of helping poor people instead of rich people, as though “capitalism” meant a system in which we squeeze the poor as tight as we can and heap all possible advantages upon those who are already wealthy. No, that’s called feudalism. Capitalism is supposed to be a system where markets are structured to provide free and fair competition, with everyone on a level playing field.

A basic income is a fundamentally capitalist policy, which maintains equal opportunity with a minimum of government intervention and allows the market to flourish. I suppose if you want to say that all taxation and government spending is “socialist”, fine; then every nation that has ever maintained stability for more than a decade has been in this sense “socialist”. Every soldier, firefighter and police officer paid by a government payroll is now part of a “socialist” system. Okay, as long as we’re consistent about that; but now you really can’t say that socialism is harmful; on the contrary, on this definition socialism is necessary for capitalism. In order to maintain security of property, enforcement of contracts, and equality of opportunity, you need government. Maybe we should just give up on the words entirely, and speak more clearly about what specific policies we want. If I don’t get to say that a basic income is “capitalist”, you don’t get to say financial deregulation is “capitalist”. Better yet, how about you can’t even call it “deregulation”? You have to actually argue in front of a crowd of people that it should be legal for banks to lie to them, and there should be no serious repercussions for any bank that cheats, steals, colludes, or even launders money for terrorists. That is, after all, what financial deregulation actually does in the real world.

Okay, that’s enough about that.

My birthday is coming up this Monday; thus completes my 27^th revolution around the Sun. With birthdays come thoughts of ancestry: Though I appear White, I am legally one-quarter Native American, and my total ethnic mix includes English, German, Irish, Mohawk, and Chippewa.

Biologically, what exactly does that mean? Next to nothing.

Human genetic diversity is a real thing, and there are genetic links to not only dozens of genetic diseases and propensity toward certain types of cancer, but also personality and intelligence. There are also of course genes for skin pigmentation.

The human population does exhibit some genetic clustering, but the categories are not what you’re probably used to: Good examples of relatively well-defined genetic clusters include Ashkenazi, Papuan, and Mbuti. There are also many different haplogroups, such as mitochondrial haplogroups L3 and CZ.

Maybe you could even make a case for the “races” East Asian, South Asian, Pacific Islander, and Native American, since the indigenous populations of these geographic areas largely do come from the same genetic clusters. Or you could make a bigger category and call them all “Asian”—but if you include Papuan and Aborigine in “Asian” you’d pretty much have to include Chippewa and Najavo as well.

But I think it tells you a lot about what “race” really means when you realize that the two “race” categories which are most salient to Americans are in fact the categories that are genetically most meaningless. “White” and “Black” are totally nonsensical genetic categorizations.

Let’s start with “Black”; defining a “Black” race is like defining a category of animals by the fact that they are all tinted red—foxes yes, dogs no; robins yes, swallows no; ladybirds yes, cockroaches no. There is more genetic diversity within Africa than there is outside of it. There are African populations that are more closely related to European populations than they are to other African populations. The only thing “Black” people have in common is that their skin is dark, which is due to convergent evolution: It’s not due to common ancestry, but a common environment. Dark skin has a direct survival benefit in climates with intense sunlight. The similarity is literally skin deep.

What about “White”? Well, there are some fairly well-defined European genetic populations, so if we clustered those together we might be able to get something worth calling “White”. The problem is, that’s not how it happened. “White” is a club. The definition of who gets to be “White” has expanded over time, and even occasionally contracted. Originally Hebrew, Celtic, Hispanic, and Italian were not included (and Hebrew, for once, is actually a fairly sensible genetic category, as long as you restrict it to Ashkenazi), but then later they were. But now that we’ve got a lot of poor people coming in from Mexico, we don’t quite think of Hispanics as “White” anymore. We actually watched Arabs lose their “White” card in real-time in 2001; before 9/11, they were “White”; now, “Arab” is a separate thing. And “Muslim” is even treated like a race now, which is like making a racial category of “Keynesians”—never forget that Islam is above all a belief system.

Actually, “White privilege” is almost a tautology—the privilege isn’t given to people who were already defined as “White”, the privilege is to be called “White”. The privilege is to have your ancestors counted in the “White” category so that they can be given rights, while people who are not in the category are denied those rights. There does seem to be a certain degree of restriction by appearance—to my knowledge, no population with skin as dark as Kenyans has ever been considered “White”, and Anglo-Saxons and Nordics have always been included—but the category is flexible to political and social changes.

But really I hate that word “privilege”, because it gets the whole situation backwards. When you talk about “White privilege”, you make it sound as though the problem with racism is that it gives unfair advantages to White people (or to people arbitrarily defined as “White”). No, the problem is that people who are not White are denied rights. It isn’t what White people have that’s wrong; it’s what Black people don’t have. Equating those two things creates a vision of the world as zero-sum, in which each gain for me is a loss for you.

Here’s the thing about zero-sum games: All outcomes are Pareto-efficient. Remember when I talked about Pareto-efficiency? As a quick refresher, an outcome is Pareto-efficient if there is no way for one person to be made better off without making someone else worse off. In general, it’s pretty hard to disagree that, other things equal, Pareto-efficiency is a good thing, and Pareto-inefficiency is a bad thing. But if racism were about “White privilege” and the game were zero-sum, racism would have to be Pareto-efficient.

In fact, racism is Pareto-inefficient, and that is part of why it is so obviously bad. It harms literally billions of people, and benefits basically no one. Maybe there are a few individuals who are actually, all things considered, better off than they would have been if racism had not existed. But there are certainly not very many such people, and in fact I’m not sure there are any at all. If there are any, it would mean that technically racism is not Pareto-inefficient—but it is definitely very close. At the very least, the damage caused by racism is several orders of magnitude larger than any benefits incurred.

That’s why the “privilege” language, while well-intentioned, is so insidious; it tells White people that racism means taking things away from them. Many of these people are already in dire straits—broke, unemployed, or even homeless—so taking away what they have sounds particularly awful. Of course they’d be hostile to or at least dubious of attempts to reduce racism. You just told them that racism is the only thing keeping them afloat! In fact, quite the opposite is the case: Poor White people are, second only to poor Black people, those who stand the most to gain from a more just society. David Koch and Donald Trump should be worried; we will probably have to take most of their money away in order to achieve social justice. (Bill Gates knows we’ll have to take most of his money away, but he’s okay with that; in fact he may end up giving it away before we get around to taking it.) But the average White person will almost certainly be better off than they were.

Why does it seem like there are benefits to racism? Again, because people are accustomed to thinking of the world as zero-sum. One person is denied a benefit, so that benefit must go somewhere else right? Nope—it can just disappear entirely, and in this case typically does.

When a Black person is denied a job in favor of a White person who is less qualified, doesn’t that White person benefit? Uh, no, actually, not really. They have been hired for a job that isn’t an optimal fit for them; they aren’t working to their comparative advantage, and that Black person isn’t either and may not be working at all. The total output of the economy will be thereby reduced slightly. When this happens millions of times, the total reduction in output can be quite substantial, and as a result that White person was hired at $30,000 for an unsuitable job when in a racism-free world they’d have been hired at $40,000 for a suitable one. A similar argument holds for sexism; men don’t benefit from getting jobs women are denied if one of those women would have invented a cure for prostate cancer.

Indeed, the empowerment of women and minorities is kind of the secret cheat code for creating a First World economy. The great successes of economic development—Korea, Japan, China, the US in WW2—had their successes precisely at a time when they suddenly started including women in manufacturing, effectively doubling their total labor capacity. Moreover, it’s pretty clear that the causation ran in this direction. Periods of economic growth are associated with increases in solidarity with other groups—and downturns with decreased solidarity—but the increase in women in the workforce was sudden and early while the increase in growth and total output was prolonged.

Racism is irrational. Indeed it is so obviously irrational that for decades now neoclassical economists have been insisting that there is no need for civil rights policy, affirmative action, etc. because the market will automatically eliminate racism by the rational profit motive. A more recent literature has attempted to show that, contrary to all appearances, racism actually is rational in some cases. Inevitably it relies upon either the background of a racist society (maybe Black people are, on average, genuinely less qualified, but it would only be because they’ve been given poorer opportunities), or an assumption of “discriminatory tastes”, which is basically giving up and redefining the utility function so that people simply get direct pleasure from being racists. Of course, on that sort of definition, you can basically justify any behavior as “rational”: Maybe he just enjoys banging his head against the wall! (A similar slipperiness is used by egoists to argue that caring for your children is actually “selfish”; well, it makes you happy, doesn’t it? Yes, but that’s not why we do it.)

There’s a much simpler way to understand this situation: Racism is irrational, and so is human behavior.

That isn’t a complete explanation, of course; and I think one major misunderstanding neoclassical economists have of cognitive economists is that they think this is what we do—we point out that something is irrational, and then high-five and go home. No, that’s not what we do. Finding the irrationality is just the start; next comes explaining the irrationality, understanding the irrationality, and finally—we haven’t reached this point in most cases—fixing the irrationality.

So what explains racism? In short, the tribal paradigm. Human beings evolved in an environment in which the most important factor in our survival and that of our offspring was not food supply or temperature or predators, it was tribal cohesion. With a cohesive tribe, we could find food, make clothes, fight off lions. Without one, we were helpless. Millions of years in this condition shaped our brains, programming them to treat threats to tribal cohesion as the greatest possible concern. We even reached the point where solidarity for the tribe actually began to dominate basic survival instincts: For a suicide bomber the unity of the tribe—be it Marxism for the Tamil Tigers or Islam for Al-Qaeda—is more important than his own life. We will do literally anything if we believe it is necessary to defend the identities we believe in.

And no, we rationalists are no exception here. We are indeed different from other groups; the beliefs that define us, unlike the beliefs of literally every other group that has ever existed, are actually rationally founded. The scientific method really isn’t just another religion, for unlike religion it actually works. But still, if push came to shove and we were forced to kill and die in order to defend rationality, we would; and maybe we’d even be right to do so. Maybe the French Revolution was, all things considered, a good thing—but it sure as hell wasn’t nonviolent.

This is the background we need to understand racism. It actually isn’t enough to show people that racism is harmful and irrational, because they are programmed not to care. As long as racial identification is the salient identity, the tribe by which we define ourselves, we will do anything to defend the cohesion of that tribe. It is not enough to show that racism is bad; we must in fact show that race doesn’t matter. Fortunately, this is easy, for as I explained above, race does not actually exist.

That makes racism in some sense easier to deal with than sexism, because the very categories of races upon which it is based are fundamentally faulty. Sexes, on the other hand, are definitely a real thing. Males and females actually are genetically different in important ways. Exactly how different in what ways is an open question, and what we do know is that for most of the really important traits like intelligence and personality the overlap outstrips the difference. (The really big, categorical differences all appear to be physical: Anatomy, size, testosterone.) But conquering sexism may always be a difficult balance, for there are certain differences we won’t be able to eliminate without altering DNA. That no more justifies sexism than the fact that height is partly genetic would justify denying rights to short people (which, actually, is something we do); but it does make matters complicated, because it’s difficult to know whether an observed difference (for instance, most pediatricians are female, while most neurosurgeons are male) is due to discrimination or innate differences.

Racism, on the other hand, is actually quite simple: Almost any statistically significant difference in behavior or outcome between races must be due to some form of discrimination somewhere down the line. Maybe it’s not discrimination right here, right now; maybe it’s discrimination years ago that denied opportunities, or discrimination against their ancestors that led them to inherit less generations later; but it almost has to be discrimination against someone somewhere, because it is only by social construction that races exist in the first place. I do say “almost” because I can think of a few exceptions: Black people are genuinely less likely to use tanning salons and genuinely more likely to need vitamin D supplements, but both of those things are directly due to skin pigmentation. They are also more likely to suffer from sickle-cell anemia, which is another convergent trait that evolved in tropical climates as a response to malaria. But unless you can think of a reason why employment outcomes would depend upon vitamin D, the huge difference in employment between Whites and Blacks really can’t be due to anything but discrimination.

I imagine most of my readers are more sophisticated than this, but just in case you’re wondering about the difference in IQ scores between Whites and Blacks, that is indeed a real observation, but IQ isn’t entirely genetic. The reason IQ scores are rising worldwide (the Flynn Effect) is due to improvements in environmental conditions: Fewer environmental pollutants—particularly lead and mercury, the removal of which is responsible for most of the reduction in crime in America over the last 20 years—better nutrition, better education, less stress. Being stupid does not make you poor (or how would we explain Donald Trump?), but being poor absolutely does make you stupid. Combine that with the challenges and inconsistencies in cross-national IQ comparisons, and it’s pretty clear that the higher IQ scores in rich nations are an effect, not a cause, of their affluence. Likewise, the lower IQ scores of Black people in the US are entirely explained by their poorer living conditions, with no need for any genetic hypothesis—which would also be very difficult in the first place precisely because “Black” is such a weird genetic category.

Unfortunately, I don’t yet know exactly what it takes to change people’s concept of group identification. Obviously it can be done, for group identities change all the time, sometimes quite rapidly; but we simply don’t have good research on what causes those changes or how they might be affected by policy. That’s actually a major part of the experiment I’ve been trying to get funding to run since 2009, which I hope can now become my PhD thesis. All I can say is this: I’m working on it.

How is the economy doing?

2015-01-102015-04-04 PNRJ cognitive science, core principles Basic Fact, cognitive, cognitive science, college, Creationism, Dennett, economy, education, exogenous, forecast, inequality, inflation, jobs, Krugman, labor force, macroeconomics, master's thesis, misery index, politics, soul, tribal paradigm, unemployment

JDN 2457033 EST 12:22.

Whenever you introduce yourself to someone as an economist, you will typically be asked a single question: “How is the economy doing?” I’ve already experienced this myself, and I don’t have very many dinner parties under my belt.

It’s an odd question, for a couple of reasons: First, I didn’t say I was a macroeconomic forecaster. That’s a very small branch of economics—even a small branch of macroeconomics. Second, it is widely recognized among economists that our forecasters just aren’t very good at what they do. But it is the sort of thing that pops into people’s minds when they hear the word “economist”, so we get asked it a lot.

Why are our forecasts so bad? Some argue that the task is just inherently too difficult due to the chaotic system involved; but they used to say that about weather forecasts, and yet with satellites and computer models our forecasts are now far more accurate than they were 20 years ago. Others have argued that “politics always dominates over economics”, as though politics were somehow a fundamentally separate thing, forever exogenous, a parameter in our models that cannot be predicted. I have a number of economic aphorisms I’m trying to popularize; the one for this occasion is: “Nothing is exogenous.” (Maybe fundamental constants of physics? But actually many physicists think that those constants can be derived from even more fundamental laws.) My most common is “It’s the externalities, stupid.”; next is “It’s not the incentives, it’s the opportunities.”; and the last is “Human beings are 90% rational. But woe betide that other 10%.” In fact, it’s not quite true that all our macroeconomic forecasters are bad; a few, such as Krugman, are actually quite good. The Klein Award is given each year to the best macroeconomic forecasters, and the same names pop up too often for it to be completely random. (Sadly, one of the most common is Citigroup, meaning that our banksters know perfectly well what they’re doing when they destroy our economy—they just don’t care.) So in fact I think our failures of forecasting are not inevitable or permanent.

And of course that’s not what I do at all. I am a cognitive economist; I study how economic systems behave when they are run by actual human beings, rather than by infinite identical psychopaths. I’m particularly interested in what I call the tribal paradigm, the way that people identify with groups and act in the interests of those groups, how much solidarity people feel for each other and why, and what role ideology plays in that identification. I’m hoping to one day formally model solidarity and make directly testable predictions about things like charitable donations, immigration policies and disaster responses.

I do have a more macroeconomic bent than most other cognitive economists; I’m not just interested in how human irrationality affects individuals or corporations, I’m also interested in how it affects society as a whole. But unlike most macroeconomists I care more about inequality than unemployment, and hardly at all about inflation. Unless you start getting 40% inflation per year, inflation really isn’t that harmful—and can you imagine what 40% unemployment would be like? (Also, while 100% inflation is awful, 100% unemployment would be no economy at all.) If we’re going to have a “misery index“, it should weight unemployment at least 10 times as much as inflation—and it should also include terms for poverty and inequality. Frankly maybe we should just use poverty, since I’d be prepared to accept just about any level of inflation, unemployment, or even inequality if it meant eliminating poverty. This is of course is yet another reason why a basic income is so great! An anti-poverty measure can really only be called a failure if it doesn’t actually reduce poverty; the only way that could happen with a basic income is if it somehow completely destabilized the economy, which is extremely unlikely as long as the basic income isn’t something ridiculous like $100,000 per year.

I could probably talk about my master’s thesis; the econometric models are relatively arcane, but the basic idea of correlating the income concentration of the top 1% of 1% and the level of corruption is something most people can grasp easily enough.

Of course, that wouldn’t be much of an answer to “How is the economy doing?”; usually my answer is to repeat what I’ve last read from mainstream macroeconomic forecasts, which is usually rather banal—but maybe that’s the idea? Most small talk is pretty banal I suppose (I never was very good at that sort of thing). It sounds a bit like this: No, we’re not on the verge of horrible inflation—actually inflation is currently too low. (At this point someone will probably bring up the gold standard, and I’ll have to explain that the gold standard is an unequivocally terrible idea on so, so many levels. The gold standard caused the Great Depression.) Unemployment is gradually improving, and actually job growth is looking pretty good right now; but wages are still stagnant, which is probably what’s holding down inflation. We could have prevented the Second Depression entirely, but we didn’t because Republicans are terrible at managing the economy—all of the 10 most recent recessions and almost 80% of the recessions in the last century were under Republican presidents. Instead the Democrats did their best to implement basic principles of Keynesian macroeconomics despite Republican intransigence, and we muddled through. In another year or two we will actually be back at an unemployment rate of 5%, which the Federal Reserve considers “full employment”. That’s already problematic—what about that other 5%?—but there’s another problem as well: Much of our reduction in unemployment has come not from more people being employed but instead by more people dropping out of the labor force. Our labor force participation rate is the lowest it’s been since 1978, and is still trending downward. Most of these people aren’t getting jobs; they’re giving up. At best we may hope that they are people like me, who gave up on finding work in order to invest in their own education, and will return to the labor force more knowledgeable and productive one day—and indeed, college participation rates are also rising rapidly. And no, that doesn’t mean we’re becoming “overeducated”; investment in education, so-called “human capital”, is literally the single most important factor in long-term economic output, by far. Education is why we’re not still in the Stone Age. Physical capital can be replaced, and educated people will do so efficiently. But all the physical capital in the world will do you no good if nobody knows how to use it. When everyone in the world is a millionaire with two PhDs and all our work is done by robots, maybe then you can say we’re “overeducated”—and maybe then you’d still be wrong. Being “too educated” is like being “too rich” or “too happy”.

That’s usually enough to placate my interlocutor. I should probably count my blessings, for I imagine that the first confrontation you get at a dinner party if you say you are a biologist involves a Creationist demanding that you “prove evolution”. I like to think that some mathematical biologists—yes, that’s a thing—take their request literally and set out to mathematically prove that if allele distributions in a population change according to a stochastic trend then the alleles with highest expected fitness have, on average, the highest fitness—which is what we really mean by “survival of the fittest”. The more formal, the better; the goal is to glaze some Creationist eyes. Of course that’s a tautology—but so is literally anything that you can actually prove. Cosmologists probably get similar demands to “prove the Big Bang”, which sounds about as annoying. I may have to deal with gold bugs, but I’ll take them over Creationists any day.

What do other scientists get? When I tell people I am a cognitive scientist (as a cognitive economist I am sort of both an economist and a cognitive scientist after all), they usually just respond with something like “Wow, you must be really smart.”; which I suppose is true enough, but always strikes me as an odd response. I think they just didn’t know enough about the field to even generate a reasonable-sounding question, whereas with economists they always have “How is the economy doing?” handy. Political scientists probably get “Who is going to win the election?” for the same reason. People have opinions about economics, but they don’t have opinions about cognitive science—or rather, they don’t think they do. Actually most people have an opinion about cognitive science that is totally and utterly ridiculous, more on a par with Creationists than gold bugs: That is, most people believe in a soul that survives after death. This is rather like believing that after your computer has been smashed to pieces and ground back into the sand from whence it came, all the files you had on it are still out there somewhere, waiting to be retrieved. No, they’re long gone—and likewise your memories and your personality will be long gone once your brain has rotted away. Yes, we have a soul, but it’s made of lots of tiny robots; when the tiny robots stop working the soul is no more. Everything you are is a result of the functioning of your brain. This does not mean that your feelings are not real or do not matter; they are just as real and important as you thought they were. What it means is that when a person’s brain is destroyed, that person is destroyed, permanently and irrevocably. This is terrifying and difficult to accept; but it is also most definitely true. It is as solid a fact as any in modern science. Many people see a conflict between evolution and religion; but the Pope has long since rendered that one inert. No, the real conflict, the basic fact that undermines everything religion is based upon, is not in biology but in cognitive science. It is indeed the Basic Fact of Cognitive Science: We are our brains, no more and no less. (But I suppose it wouldn’t be polite to bring that up at dinner parties.)

The “You must be really smart.” response is probably what happens to physicists and mathematicians. Quantum mechanics confuses basically everyone, so few dare go near it. The truly bold might try to bring up Schrodinger’s Cat, but are unlikely to understand the explanation of why it doesn’t work. General relativity requires thinking in tensors and four-dimensional spaces—perhaps they’ll be asked the question “What’s inside a black hole?”, which of course no physicist can really answer; the best answer may actually be, “What do you mean, inside?” And if a mathematician tries to explain their work in lay terms, it usually comes off as either incomprehensible or ridiculous: Stokes’ Theorem would be either “the integral of a differential form over the boundary of some orientable manifold is equal to the integral of its exterior derivative over the whole manifold” or else something like “The swirliness added up inside an object is equal to the swirliness added up around the edges.”

Economists, however, always seem to get this one: “How is the economy doing?”

Right now, the answer is this: “It’s still pretty bad, but it’s getting a lot better. Hopefully the new Congress won’t screw that up.”

How do we measure happiness?

2015-01-052015-04-04 PNRJ cognitive science, core principles Adam Smith, cardinal utility, constrained optimization, eudaimonia, framing, GDP, happiness, health, insurance, measurement, money, optimization, ordinal utility, preference, prospect theory, public health, QALY, range vote, revealed preference, Ricardo, risk, satisficing, stress, utility, willingness-to-pay

JDN 2457028 EST 20:33.

No, really, I’m asking. I strongly encourage my readers to offer in the comments any ideas they have about the measurement of happiness in the real world; this has been a stumbling block in one of my ongoing research projects.

In one sense the measurement of happiness—or more formally utility—is absolutely fundamental to economics; in another it’s something most economists are astonishingly afraid of even trying to do.

The basic question of economics has nothing to do with money, and is really only incidentally related to “scarce resources” or “the production of goods” (though many textbooks will define economics in this way—apparently implying that a post-scarcity economy is not an economy). The basic question of economics is really this: How do we make people happy?

This must always be the goal in any economic decision, and if we lose sight of that fact we can make some truly awful decisions. Other goals may work sometimes, but they inevitably fail: If you conceive of the goal as “maximize GDP”, then you’ll try to do any policy that will increase the amount of production, even if that production comes at the expense of stress, injury, disease, or pollution. (And doesn’t that sound awfully familiar, particularly here in the US? 40% of Americans report their jobs as “very stressful” or “extremely stressful”.) If you were to conceive of the goal as “maximize the amount of money”, you’d print money as fast as possible and end up with hyperinflation and total economic collapse ala Zimbabwe. If you were to conceive of the goal as “maximize human life”, you’d support methods of increasing population to the point where we had a hundred billion people whose lives were barely worth living. Even if you were to conceive of the goal as “save as many lives as possible”, you’d find yourself investing in whatever would extend lifespan even if it meant enormous pain and suffering—which is a major problem in end-of-life care around the world. No, there is one goal and one goal only: Maximize happiness.

I suppose technically it should be “maximize utility”, but those are in fact basically the same thing as long as “happiness” is broadly conceived as eudaimonia—the joy of a life well-lived—and not a narrow concept of just adding up pleasure and subtracting out pain. The goal is not to maximize the quantity of dopamine and endorphins in your brain; the goal is to achieve a world where people are safe from danger, free to express themselves, with friends and family who love them, who participate in a world that is just and peaceful. We do not want merely the illusion of these things—we want to actually have them. So let me be clear that this is what I mean when I say “maximize happiness”.

The challenge, therefore, is how we figure out if we are doing that. Things like money and GDP are easy to measure; but how do you measure happiness?
Early economists like Adam Smith and John Stuart Mill tried to deal with this question, and while they were not very successful I think they deserve credit for recognizing its importance and trying to resolve it. But sometime around the rise of modern neoclassical economics, economists gave up on the project and instead sought a narrower task, to measure preferences.

This is often called technically ordinal utility, as opposed to cardinal utility; but this terminology obscures the fundamental distinction. Cardinal utility is actual utility; ordinal utility is just preferences.

(The notion that cardinal utility is defined “up to a linear transformation” is really an eminently trivial observation, and it shows just how little physics the physics-envious economists really understand. All we’re talking about here is units of measurement—the same distance is 10.0 inches or 25.4 centimeters, so is distance only defined “up to a linear transformation”? It’s sometimes argued that there is no clear zero—like Fahrenheit and Celsius—but actually it’s pretty clear to me that there is: Zero utility is not existing. So there you go, now you have Kelvin.)

Preferences are a bit easier to measure than happiness, but not by as much as most economists seem to think. If you imagine a small number of options, you can just put them in order from most to least preferred and there you go; and we could imagine asking someone to do that, or—the technique of revealed preference—use the choices they make to infer their preferences by assuming that when given the choice of X and Y, choosing X means you prefer X to Y.

Like much of neoclassical theory, this sounds good in principle and utterly collapses when applied to the real world. Above all: How many options do you have? It’s not easy to say, but the number is definitely huge—and both of those facts pose serious problems for a theory of preferences.

The fact that it’s not easy to say means that we don’t have a well-defined set of choices; even if Y is theoretically on the table, people might not realize it, or they might not see that it’s better even though it actually is. Much of our cognitive effort in any decision is actually spent narrowing the decision space—when deciding who to date or where to go to college or even what groceries to buy, simply generating a list of viable options involves a great deal of effort and extremely complex computation. If you have a true utility function, you can satisfice—choosing the first option that is above a certain threshold—or engage in constrained optimization—choosing whether to continue searching or accept your current choice based on how good it is. Under preference theory, there is no such “how good it is” and no such thresholds. You either search forever or choose a cutoff arbitrarily.

Even if we could decide how many options there are in any given choice, in order for this to form a complete guide for human behavior we would need an enormous amount of information. Suppose there are 10 different items I could have or not have; then there are 10! = 3.6 million possible preference orderings. If there were 100 items, there would be 100! = 9e157 possible orderings. It won’t do simply to decide on each item whether I’d like to have it or not. Some things are complements: I prefer to have shoes, but I probably prefer to have $100 and no shoes at all rather than $50 and just a left shoe. Other things are substitutes: I generally prefer eating either a bowl of spaghetti or a pizza, rather than both at the same time. No, the combinations matter, and that means that we have an exponentially increasing decision space every time we add a new option. If there really is no more structure to preferences than this, we have an absurd computational task to make even the most basic decisions.

This is in fact most likely why we have happiness in the first place. Happiness did not emerge from a vacuum; it evolved by natural selection. Why make an organism have feelings? Why make it care about things? Wouldn’t it be easier to just hard-code a list of decisions it should make? No, on the contrary, it would be exponentially more complex. Utility exists precisely because it is more efficient for an organism to like or dislike things by certain amounts rather than trying to define arbitrary preference orderings. Adding a new item means assigning it an emotional value and then slotting it in, instead of comparing it to every single other possibility.

To illustrate this: I like Coke more than I like Pepsi. (Let the flame wars begin?) I also like getting massages more than I like being stabbed. (I imagine less controversy on this point.) But the difference in my mind between massages and stabbings is an awful lot larger than the difference between Coke and Pepsi. Yet according to preference theory (“ordinal utility”), that difference is not meaningful; instead I have to say that I prefer the pair “drink Pepsi and get a massage” to the pair “drink Coke and get stabbed”. There’s no such thing as “a little better” or “a lot worse”; there is only what I prefer over what I do not prefer, and since these can be assigned arbitrarily there is an impossible computational task before me to make even the most basic decisions.

Real utility also allows you to make decisions under risk, to decide when it’s worth taking a chance. Is a 50% chance of $100 worth giving up a guaranteed $50? Probably. Is a 50% chance of $10 million worth giving up a guaranteed $5 million? Not for me. Maybe for Bill Gates. How do I make that decision? It’s not about what I prefer—I do in fact prefer $10 million to $5 million. It’s about how much difference there is in terms of my real happiness—$5 million is almost as good as $10 million, but $100 is a lot better than $50. My marginal utility of wealth—as I discussed in my post on progressive taxation—is a lot steeper at $50 than it is at $5 million. There’s actually a way to use revealed preferences under risk to estimate true (“cardinal”) utility, developed by Von Neumann and Morgenstern. In fact they proved a remarkably strong theorem: If you don’t have a cardinal utility function that you’re maximizing, you can’t make rational decisions under risk. (In fact many of our risk decisions clearly aren’t rational, because we aren’t actually maximizing an expected utility; what we’re actually doing is something more like cumulative prospect theory, the leading cognitive economic theory of risk decisions. We overrespond to extreme but improbable events—like lightning strikes and terrorist attacks—and underrespond to moderate but probable events—like heart attacks and car crashes. We play the lottery but still buy health insurance. We fear Ebola—which has never killed a single American—but not influenza—which kills 10,000 Americans every year.)

A lot of economists would argue that it’s “unscientific”—Kenneth Arrow said “impossible”—to assign this sort of cardinal distance between our choices. But assigning distances between preferences is something we do all the time. Amazon.com lets us vote on a 5-star scale, and very few people send in error reports saying that cardinal utility is meaningless and only preference orderings exist. In 2000 I would have said “I like Gore best, Nader is almost as good, and Bush is pretty awful; but of course they’re all a lot better than the Fascist Party.” If we had simply been able to express those feelings on the 2000 ballot according to a range vote, either Nader would have won and the United States would now have a three-party system (and possibly a nationalized banking system!), or Gore would have won and we would be a decade ahead of where we currently are in preventing and mitigating global warming. Either one of these things would benefit millions of people.

This is extremely important because of another thing that Arrow said was “impossible”—namely, “Arrow’s Impossibility Theorem”. It should be called Arrow’s Range Voting Theorem, because simply by restricting preferences to a well-defined utility and allowing people to make range votes according to that utility, we can fulfill all the requirements that are supposedly “impossible”. The theorem doesn’t say—as it is commonly paraphrased—that there is no fair voting system; it says that range voting is the only fair voting system. A better claim is that there is no perfect voting system, which is true if you mean that there is no way to vote strategically that doesn’t accurately reflect your true beliefs. The Myerson-Satterthwaithe Theorem is then the proper theorem to use; if you could design a voting system that would force you to reveal your beliefs, you could design a market auction that would force you to reveal your optimal price. But the least expressive way to vote in a range vote is to pick your favorite and give them 100% while giving everyone else 0%—which is identical to our current plurality vote system. The worst-case scenario in range voting is our current system.

But the fact that utility exists and matters, unfortunately doesn’t tell us how to measure it. The current state-of-the-art in economics is what’s called “willingness-to-pay”, where we arrange (or observe) decisions people make involving money and try to assign dollar values to each of their choices. This is how you get disturbing calculations like “the lives lost due to air pollution are worth $10.2 billion.”

Why are these calculations disturbing? Because they have the whole thing backwards—people aren’t valuable because they are worth money; money is valuable because it helps people. It’s also really bizarre because it has to be adjusted for inflation. Finally—and this is the point that far too few people appreciate—the value of a dollar is not constant across people. Because different people have different marginal utilities of wealth, something that I would only be willing to pay $1000 for, Bill Gates might be willing to pay $1 million for—and a child in Africa might only be willing to pay $10, because that is all he has to spend. This makes the “willingness-to-pay” a basically meaningless concept independent of whose wealth we are spending.

Utility, on the other hand, might differ between people—but, at least in principle, it can still be added up between them on the same scale. The problem is that “in principle” part: How do we actually measure it?

So far, the best I’ve come up with is to borrow from public health policy and use the QALY, or quality-adjusted life year. By asking people macabre questions like “What is the maximum number of years of your life you would give up to not have a severe migraine every day?” (I’d say about 20—that’s where I feel ambivalent. At 10 I definitely would; at 30 I definitely wouldn’t.) or “What chance of total paralysis would you take in order to avoid being paralyzed from the waist down?” (I’d say about 20%.) we assign utility values: 80 years of migraines is worth giving up 20 years to avoid, so chronic migraine is a quality of life factor of 0.75. Total paralysis is 5 times as bad as paralysis from the waist down, so if waist-down paralysis is a quality of life factor of 0.90 then total paralysis is 0.50.

You can probably already see that there are lots of problems: What if people don’t agree? What if due to framing effects the same person gives different answers to slightly different phrasing? Some conditions will directly bias our judgments—depression being the obvious example. How many years of your life would you give up to not be depressed? Suicide means some people say all of them. How well do we really know our preferences on these sorts of decisions, given that most of them are decisions we will never have to make? It’s difficult enough to make the actual decisions in our lives, let alone hypothetical decisions we’ve never encountered.

Another problem is often suggested as well: How do we apply this methodology outside questions of health? Does it really make sense to ask you how many years of your life drinking Coke or driving your car is worth?
Well, actually… it better, because you make that sort of decision all the time. You drive instead of staying home, because you value where you’re going more than the risk of dying in a car accident. You drive instead of walking because getting there on time is worth that additional risk as well. You eat foods you know aren’t good for you because you think the taste is worth the cost. Indeed, most of us aren’t making most of these decisions very well—maybe you shouldn’t actually drive or drink that Coke. But in order to know that, we need to know how many years of your life a Coke is worth.

As a very rough estimate, I figure you can convert from willingness-to-pay to QALY by dividing by your annual consumption spending Say you spend annually about $20,000—pretty typical for a First World individual. Then $1 is worth about 50 microQALY, or about 26 quality-adjusted life-minutes. Now suppose you are in Third World poverty; your consumption might be only $200 a year, so $1 becomes worth 5 milliQALY, or 1.8 quality-adjusted life-days. The very richest individuals might spend as much as $10 million on consumption, so $1 to them is only worth 100 nanoQALY, or 3 quality-adjusted life-seconds.

That’s an extremely rough estimate, of course; it assumes you are in perfect health, all your time is equally valuable and all your purchasing decisions are optimized by purchasing at marginal utility. Don’t take it too literally; based on the above estimate, an hour to you is worth about $2.30, so it would be worth your while to work for even $3 an hour. Here’s a simple correction we should probably make: if only a third of your time is really usable for work, you should expect at least $6.90 an hour—and hey, that’s a little less than the US minimum wage. So I think we’re in the right order of magnitude, but the details have a long way to go.

So let’s hear it, readers: How do you think we can best measure happiness?

Why we give gifts

2014-12-282015-04-04 PNRJ core principles, critique of neoclassical economics Christmas, gift, human universal, personal, relationships, saving

JDN 2457020 EST 18:28.

You’ll notice it’s Sunday, not Saturday; I apologize for not actually posting on time this week. Due to the holiday season I was whisked away to family activities in Cleveland, and could not find wifi that was both free and reliable.

But since it is the Christmas season—Christmas Day was last Thursday—the time during which most Americans spend more than we can probably afford buying gifts (the highest rate of consumer spending all year long, much of it on credit cards, a significant boost for the economy in these times of depression), I thought it would be worthwhile to talk about why gifts are so important to us.

As I’ve already mentioned a few posts ago, neoclassical economists are typically baffled by gift-giving, and several have written research papers and books about why Christmas gifts are economically inefficient and should be stopped. Oddly it never seems to occur to them that if this is true, then there is widespread irrational consumer behavior that has nothing to do with government intervention or perverse incentives—which already means neoclassical economic theory is in serious trouble. Nobody forces you to buy gifts, so if it’s such a bad idea but we do it anyway, we must not be rational agents.

But in fact it’s not such a bad idea, and it’s “inefficient” only in a very narrow-minded sense that takes no account of relationships or human emotions. Gifts only make us not “rational agents” in that we are not infinite identical psychopaths. There is in fact nothing irrational about gifts.

Gift-giving is a human universal; it has been with us far longer than money or markets or indeed civilization itself. Everyone from tribal hunter-gatherers to neoclassical economists gives gifts, and in fact most people who descend from populations that lived in higher latitudes (that is, “White people”, though perhaps in a later post I’ll explain why our “race” categories are genetically absurd) actually celebrate some sort of gift-giving ceremony around the time of the Winter Solstice. Many of our Christmas traditions actually come from the Germanic holiday Yule, which is why we say things like “Yuletide greetings” even though that has absolutely nothing to do with Jesus. We celebrate around the Solstice because it was such a momentous season for us, the darkest night of the year; as if the darkness and cold weren’t bad enough by themselves they are the harbinger of the dreaded winter that prevents our crops from growing and may not allow us all to survive. We reaffirm our family ties and promise to help each other through this dangerous time. Music, gifts, and feasting are simply the way that humans organize our celebrations—again this is universal.

What do gifts accomplish that a simple transfer of cash would not? I can think of three things:

Convey closeness: First of all there is of course the fact that by buying someone a gift at all, you are expressing the fact that you care about them and want to be close to them. But the choice of the gift also matters. Your closest friends always buy you the best gifts, because they know you the best. Thus the sort of gift you receive from someone is a measure of how well they know you. Many of us give each other lists of ideas to buy, but I always include more on the list than I expect to receive and encourage people to buy things that are not on the list that they think I might enjoy. A computer program can buy things off a list; the point is that we express our relationships by choosing things we know people want without them having to ask. We trust people to know us well enough to get it right most of the time; they’ll probably make mistakes (most people think they know others better than they actually do), but the mistakes are made up for by the successes. The disappointment in getting something you didn’t want isn’t even so much in the thing as it is in the fear that your loved ones don’t know you as well as you thought they did; this is why I consider it important to express—gently and tactfully of course—when you really don’t like a gift you received; you want them to know you better and do better next time, not keep giving you things you hate while you brood behind fake smiles. What you choose to buy conveys what you know and how you feel; this is why the best gift is one you love to have but didn’t ask for. That’s why I’m honestly more excited about my new travel pillow and copy of Randall Monroe’s What If? than I am about my new Bluetooth headset; of course the headset is more expensive and more useful, but I specifically asked for it. My sister and my mother knew me well enough that the book and the travel pillow I didn’t have to ask for.
Grant permission to indulge: This is particularly important in the United States, because our society has Puritanical roots that make us suspicious of any activity that isn’t directly linked to productive efficiency. Honestly when those economists criticize Christmas as “inefficient” they are not so much making a serious economic argument as they are expressing in terms familiar to them the centuries-old Puritanical norm. It is considered unseemly to buy things for yourself that are purely for fun, particularly if they are expensive. You are expected to buy only the minimum you need, because any more is greedy; the notion seems to be that there is only so much stuff to go around, and if you take more others will have less. (This could scarcely be further from the truth; your frivolous consumer purchases can save children from starvation by giving their parents jobs in factories.) Neoclassical economists often think they are immune to this sort of norm, but aside from their discomfort with Christmas, the sense of righteousness they often have around “raising the savings rate” says otherwise. The link from savings to investment is tenuous at best, but one thing saving definitely does do is prevent you from spending indulgently. But since buying things that make us happy is actually kind of the entire point of having an economy in the first place, it is necessary to find workarounds for this oppressive ethic. One solution is gifts; to give someone else an indulgent gift allows them to engage in indulgent activities, while preserving their own status as someone who wouldn’t normally waste money in that way, and since you are not the one indulging you can hardly be accused of frivolity either. This is also what gift cards accomplish; in economic terms gift cards seem weird, because they are at best as good as cash, and often far worse. But gift cards are typically for retail stores where it is hard to buy something that’s not indulgent, thus offering permission to indulge. This is why a gift card for GameStop or Dick’s Sporting Goods makes sense, but a gift card to Walmart or Kroger seems odd. This is also why receiving cash or an Amazon gift card doesn’t feel as good; since you can buy just about anything, the social norm toward spending responsibly returns. (Never buy anyone a VISA gift card; it’s basically the same as cash except you’re giving some of the money to VISA.)
Conveys your own status: By buying expensive things for other people, you raise your own reputation as an individual. This one is easy to become cynical about, so it’s important to be clear what it actually means. Conveying your own status doesn’t necessarily mean arrogantly domineering over other people. It certainly can mean that, which is why if your cousin has $20 million and buys everyone in the family a new car every year, you’d honestly not be that thrilled about it; yeah, it’s nice getting a new car, but your cousin is clearly showboating his superior wealth and trying to make everyone else look cheap and/or poor. But there is a way to elevate your own status without downgrading everyone else’s, and truly generous gifts are a way of doing that. If the things you buy are really things your loved ones truly need, then you express your generosity and love for them by buying more than you can easily afford. Philanthropy is also a means of conveying status, and again comes in both forms. When Carnegie built buildings and named them after himself, he was being arrogant and domineering. When Bill Gates established a foundation to combat malaria and poverty in Africa, he was being genuinely generous. This kind of status is always a bit paradoxical: The best way to earn a reputation as a good person is to honestly try to help people and have little concern for your own reputation; people who try too hard to improve their own reputations just end up seeming arrogant and narcissistic. In order to deserve status, it is necessary not to directly seek it. The clearest example here is Jonas Salk: He invented a vaccine that saved the lives of thousands of children, making him more deserving of a billion dollars than anyone else I can think of. And he had a chance at a billion dollars, but he specifically gave it up, because in order to get it he would have had to enforce a patent that would raise the price of the vaccine and allow children to needlessly suffer and die. It was the very character that made him deserve the wealth that caused him to refuse it. The only way to hit the target is to aim much higher.

If you really want to insist, yes, there’s also some sort of net transfer of wealth involved in gift-giving, because it is expected that the richer you are the more you’ll spend on gifts. But that’s a very small part; even in hunter-gather societies that have negligible levels of inequality human beings still give each other gifts. Gifts are a part of us; they are written in the language of life itself upon the ancient thread that binds us to our ancestors and makes us who we are—by which I mean, of course, DNA. We could probably no more stop giving gifts than we could stop feeling love.

The World Development Report is on cognitive economics this year!

2014-12-212015-04-04 PNRJ core principles, critique of neoclassical economics, heuristics and biases availability, bias, bounded rationality, confirmation bias, development, First Contact, heuristic, ingroup, master's degree, outgroup, personal, procrastination, rationality, social cognition, social proof, sunk cost, The Mathematics of Tears and Joy, tribal paradigm, World Bank

JDN 2457013 EST 21:01.

On a personal note, I can now proudly report that I have successfully defended my thesis “Corruption, ‘the Inequality Trap’, and ‘the 1% of the 1%’ “, and I now have completed a master’s degree in economics. I’m back home in Michigan for the holidays (hence my use of Eastern Standard Time), and then, well… I’m not entirely sure. I have a gap of about six months before PhD programs start. I have a number of job applications out, but unless I get a really good offer (such as the position at the International Food Policy Research Institute in DC) I think I may just stay in Michigan for awhile and work on my own projects, particularly publishing two of my books (my nonfiction magnum opus, The Mathematics of Tears and Joy, and my first novel, First Contact) and making some progress on a couple of research papers—ideally publishing one of them as well. But the future for me right now is quite uncertain, and that is now my major source of stress. Ironically I’d probably be less stressed if I were working full-time, because I would have a clear direction and sense of purpose. If I could have any job in the world, it would be a hard choice between a professorship at UC Berkeley or a research position at the World Bank.

Which brings me to the topic of today’s post: The people who do my dream job have just released a report showing that they basically agree with me on how it should be done.

If you have some extra time, please take a look at the World Bank World Development Report. They put one out each year, and it provides a rigorous and thorough (236 pages) but quite readable summary of the most important issues in the world economy today. It’s not exactly light summer reading, but nor is it the usual morass of arcane jargon. If you like my blog, you can probably follow most of the World Development Report. If you don’t have time to read the whole thing, you can at least skim through all the sidebars and figures to get a general sense of what it’s all about. Much of the report is written in the form of personal vignettes that make the general principles more vivid; but these are not mere anecdotes, for the report rigorously cites an enormous volume of empirical research.

The title of the 2015 report? “Mind, Society, and Behavior”. In other words, cognitive economics. The world’s foremost international economic institution has just endorsed cognitive economics and rejected neoclassical economics, and their report on the subject provides a brilliant introduction to the subject replete with direct applications to international development.

For someone like me who lives and breathes cognitive economics, the report is pure joy. It’s all there, from anchoring heuristic to social proof, corruption to discrimination. The report is broadly divided into three parts.

Part 1 explains the theory and evidence of cognitive economics, subdivided into “thinking automatically” (heuristics), “thinking socially” (social cognition), and “thinking with mental models” (bounded rationality). (If I wrote it I’d also include sections on the tribal paradigm and narrative, but of course I’ll have to publish that stuff in the actual research literature first.) Anyway the report is so amazing as it is I really can’t complain. It includes some truly brilliant deorbits on neoclassical economics, such as this one from page 47: ” In other words, the canonical model of human behavior is not supported in any society that has been studied.”

Part 2 uses cognitive economic theory to analyze and improve policy. This is the core of the report, with chapters on poverty, childhood, finance, productivity, ethnography, health, and climate change. So many different policies are analyzed I’m not sure I can summarize them with any justice, but a few particularly stuck out: First, the high cognitive demands of poverty can basically explain the whole observed difference in IQ between rich and poor people—so contrary to the right-wing belief that people are poor because they are stupid, in fact people seem stupid because they are poor. Simplifying the procedures for participation in social welfare programs (which is desperately needed, I say with a stack of incomplete Medicaid paperwork on my table—even I find these packets confusing, and I have a master’s degree in economics) not only increases their uptake but also makes people more satisfied with them—and of course a basic income could simplify social welfare programs enormously. “Are you a US citizen? Is it the first of the month? Congratulations, here’s $670.” Another finding that I found particularly noteworthy is that productivity is in many cases enhanced by unconditional gifts more than it is by incentives that are conditional on behavior—which goes against the very core of neoclassical economic theory. (It also gives us yet another item on the enormous list of benefits of a basic income: Far from reducing work incentives by the income effect, an unconditional basic income, as a shared gift from your society, may well motivate you even more than the same payment as a wage.)

Part 3 is a particularly bold addition: It turns the tables and applies cognitive economics to economists themselves, showing that human irrationality is by no means limited to idiots or even to poor people (as the report discusses in chapter 4, there are certain biases that poor people exhibit more—but there are also some they exhibit less.); all human beings are limited by the same basic constraints, and economists are human beings. We like to think of ourselves as infallibly rational, but we are nothing of the sort. Even after years of studying cognitive economics I still sometimes catch myself making mistakes based on heuristics, particularly when I’m stressed or tired. As a long-term example, I have a number of vague notions of entrepreneurial projects I’d like to do, but none for which I have been able to muster the effort and confidence to actually seek loans or investors. Rationally, I should either commit or abandon them, yet cannot quite bring myself to do either. And then of course I’ve never met anyone who didn’t procrastinate to some extent, and actually those of us who are especially smart often seem especially prone—though we often adopt the strategy of “active procrastination”, in which you end up doing something else useful when procrastinating (my apartment becomes cleanest when I have an important project to work on), or purposefully choose to work under pressure because we are more effective that way.

And the World Bank pulled no punches here, showing experiments on World Bank economists clearly demonstrating confirmation bias, sunk-cost fallacy, and what the report calls “home team advantage”, more commonly called ingroup-outgroup bias—which is basically a form of the much more general principle that I call the tribal paradigm.

If there is one flaw in the report, it’s that it’s quite long and fairly exhausting to read, which means that many people won’t even try and many who do won’t make it all the way through. (The fact that it doesn’t seem to be available in hard copy makes it worse; it’s exhausting to read lengthy texts online.) We only have so much attention and processing power to devote to a task, after all—which is kind of the whole point, really.

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Human Economics

Cognitive development economics: Understanding the mind in order to feed the world

core principles