capital

A tale of two corporations

PNRJ core principles, critique of neoclassical economics, ethics, inequality , , , , , , , , , , , , , , , , , , ,

May 10 JDN 246171

Consider two corporations.

Corporation A has net income equal to 2.9% of its total revenue, and pretax income equal to 4.1% of its total revenue. The cost of its goods sold accounts for 77% of its revenue, with most of the remainder going to wages.

This seems reasonable, right? It doesn’t seem like this corporation is being especially exploitative.

Corporation B has 2.1 million employees, and made net income of $21.8 billion, meaning that it could afford to pay every single employee an additional $10,000 and still be profitable. The median employee at this corporation makes approximately $16 per hour, meaning that this would an income increase of over 30%—an absolutely huge jump in income that would make a big difference in millions of lives. Yet instead they have chosen to buy back $30 billion in shares to raise their stock price even higher.

Corporation B seems like they are obviously exploiting their workers and favoring their shareholders, and directly contributing to the extreme inequality in our society.

But I have a bit of a surprise for you.

They are the same corporation. All of these facts are true of Walmart: Here is their income statement, here is their announced stock buyback, and here are estimates of their number of employees and median pay.

Walmart is not a particularly exceptional case. Similar stories hold for most major corporations: the profit margin doesn’t sound that high as a proportion of revenue, but it still amounts to an enormous sum of money that is being hoarded by shareholders instead of paid to workers.

Amazon’s net income of $90 billion on $742 billion in revenue gives it a profit margin of 12%, but would be enough to give all 1.6 million employees an additional $56,000—in many cases doubling their incomes.

United Health Group made $12 billion in profit on $447 billion in revenue, which is only 2.7%; and yet with 400,000 employees, they could still afford to give each one an extra $30,000. How many nurses would be very happy to see another $30,000?

Exxon Mobil’s $28 billion profit was made on $324 billion in revenue, a reasonable-sounding margin of 8.6%. Yet with only 58,000 employees, that’s $480,000 each.

McDonald’s made $8.5 billion on $26 billion in revenue, a margin of 33% (which is actually pretty high). Yet more than 1.8 million people work at McDonald’s including all its franchises, so it could really only afford to give each one an extra $4,700—which sounds small compared to these other figures, but for a minimum-wage employee ($7.25 per hour is about $14,500 per year), that’s still an extra 32%.

This is something I think we have failed to reckon with as a society.

Once a corporation becomes sufficiently large, it doesn’t need to have a big-sounding profit margin to nonetheless control staggering amounts of wealth and funnel it away from employees into the hands of shareholders. Especially with regard to Walmart and United Health Group, those margins honestly sound small as a proportion of revenue—and yet, they still amount to incredibly vast sums of wealth that are being hoarded away from thousands or millions of workers that desperately need help.

I don’t know exactly what to do about this. More progressive taxes, especially on capital income, might help, and would certainly raise much-needed revenue; but they don’t seem like enough on their own. I think we may need something more radical, like requiring employee ownership of a certain proportion of shares—essentially turning corporations into co-ops.

Another option would be simply not allowing corporations to ever get this big, and splitting them up if they already are. Perhaps being CEO of a corporation with billions of dollars in revenue really is just too much power for one person to have. But I am genuinely concerned that this could reduce economic efficiency and thereby lower the standard of living of everyone.

Some corporations actually seem to behave more fairly.

Car companies, for instance, don’t seem to hoard huge amounts.

Ford actually lost money last year, losing $6 billion on $189 billion in revenue (3.1%). With 168,000 employees, that’s $35,000 each—essentially they gave each employee a free car. And Ford employees do fine: Median annual compensation is $126,000.

General Motors made $2.4 billion in profit on $184 billion in revenue, a margin of only 1.3%. With 150,000 employees, it could give each one an extra $16,000. Given that most of its employees are well-paid (median employee salary is $99,000), I actually don’t begrudge them this. Accounting for the risk of bad years like Ford had, I think GM is being reasonable by not simply plowing that $2.4 billion back into their own employees.

Even Tesla isn’t really an exception to this pattern. Tesla made $3.8 billion on $98 billion in revenue, which is 3.9%. With 135,000 employees, this is $28,000 each—more than GM, but still not completely crazy. Median employee pay at Tesla is over $160,000, so these workers are doing well. What’s weird about Tesla, however, is that its revenue is half that of Ford or GM, yet its market capitalization is a staggering $1.5 trillionwhile Ford’s is only $46 billion and GM’s is only $71 billion. A P/E ratio of 20 is considered reasonable. Tesla’s is 365.)

But there are some corporations that don’t even sound reasonable.

Tech companies in particular tend to have very high profit margins.

Consider Apple; its net income of $122 billion on $451 billion in revenue gives it a net profit margin of 27%. It could give all 550,000 of the employees of not only Apple itself but also all its foreign suppliers a raise of $221,000. Some of these employees are sweatshop workers in China—they would be set for life on a sum like that.

Alphabet’s profit margins are even higher than that; its net income of $160 billion was on $422 billion in revenue, for a net profit margin of 37%. With 190,000 employees, that would be $840,000 each.

Yet Microsoft’s margins are even higher; its $125 billion net income was on only $318 billion in revenue, giving it a net profit margin of 39%. It has 228,000 employees, so it could give every single one an additional $540,000.

SpaceX isn’t publicly-traded, so they don’t have to disclose everything; but it is estimated that they made about $8 billion in profit on $16 billion in revenue—a staggering margin of 50%—and with only about 12,000 employees, it could give every single one an extra $660,000. In fact, Elon Musk himself owns enough stock that he could personally give every single SpaceX employee some $60 million in shares and still be a billionaire. That’s a life-changing sum for anyone who works for a living—neurosurgeons would be awed, and even NBA players would consider that a successful career unto itself. But Elon must see number go up!

This is why I’m still somewhat sympathetic to Marxism, despite not being a Marxist.

There really is something terrible going on here, with capital owners making absolutely obscene sums of money and using it to wield enormous power over our society, leaving their own workers to struggle even though they could easily give those employees enough additional pay to significantly change their lives—and if they all did so, even the capital owners wouldn’t be meaningfully worse off, because they already have more wealth than any human being could possibly need and the overall boost to the economy might even compensate them in the long run.

And turning corporations into co-ops (which is, arguably, seizing the means of production) could actually make a very big difference here, and both theory and empirical data suggests that it would greatly reduce inequality without greatly reducing economic efficiency.

But the labor theory of value is still garbage.

On labor theories of value

PNRJ core principles, inequality, mathematical models , , , , , , , , , , , , , , ,

May 3 JDN 246164

I got into an argument a little while ago with an acquaintance of mine who is an avowed Marxist. He posted something that’s been going around Marxist social media about the “irony” that Marx’s labor theory of value is based on Smith and Ricardo’s labor theories of value (plural; they’re not the same), and thus when defenders of capitalism criticize the labor theory of value, they are in effect betraying their founding figures.

The first point I made in response to this was basically, “Yeah. So?” I think one thing that Marxists—at least this flavor of Marxist; I am prepared to exempt more serious Marxian economists—don’t really understand is that mainstream economists don’t have a founding figure that they worship and consider infallible. There is no inerrant text. I am fully prepared to acknowledge—and did, in fact, in that conversation, acknowledge—that Adam Smith made errors and his labor theory of value was one of them. And quite frankly, any defender of capitalism who worships Milton Friedman or Ayn Rand isn’t a mainstream economist, or is at best a very bad one.

My interlocutor then challenged me to describe these different labor theories of value, and I was foolish enough to take the bait, and then the whole conversation devolved into him playing this smug game of “That’s not what Marx really meant” and “clearly you haven’t read Das Kapital” (even though I have, but I admit it was several years ago; I did call up a PDF copy to refresh my memory during the conversation).

But it got me thinking about labor theories of value, and trying to understand why so many people find them seductive when it really doesn’t take much thought to show that they can’t possibly be right. (This post turned out to be a bit long, but I promise I won’t be as long-winded as Marx.)

So what’s wrong with labor theories of value?

If objects are valued based on the labor put into them, the following four propositions should hold:

  1. A project you spend 100 hours on which ultimately failed and produced nothing useful was extremely valuable.
  2. Everything in the Garden of Eden is worthless, because it doesn’t require labor to access.
  3. If you come up with a cure for cancer in a random stroke of insight, it’s worthless because you didn’t put any labor into it, even though both its utility (the lives it will save) and its price (the money you could make off of it) are surely astronomical.
  4. Increased productivity is worthless, because all it does is make our goods worthless as we get better at making them.

All four of these propositions are clearly preposterous, and yet they all seem to follow directly from the basic concept of valuing things by the labor that goes into them. Mainstream economists eventually realized this, and gave up on labor theories of value in favor of the now-consensus utility theory of value.

To be fair, Marx was no idiot, and he did try to address concerns like these in Das Kapital. (Well, the first three he does; I’ll talk about the fourth one in a moment.) But the way he does so is by continually re-defining his terms in contradictory ways, so that by the time you get through the book, you realize he doesn’t even have a labor theory of value. He has many labor theories of value, and he substitutes them ad hoc whenever they seem to yield the conclusions he’s looking for.

For example: Sometimes he says that it’s the actual labor that goes in which matters. Other times that it’s the “usual” or “socially necessary” amount of labor. Other times that it’s the average amount of labor that would be required for this production across the whole economy. These are not the same thing! They yield radically different results in many cases!

Marx tries to distinguish use-value (approximately utility) from exchange-value (approximately price), which is good; those two things are different. It’s very important to distinguish price from value.

But then he doesn’t even use these concepts consistently! At one point, he gives us this absolute howler:

The use-value of the money-commodity becomes two-fold. In addition to its special use-value as

a commodity (gold, for instance, serving to stop teeth, to form the raw material of articles of

luxury, &c.), it acquires a formal use-value, originating in its specific social function.

– Das Kapital, Volume 1, Chapter 2, p. 63

No, dude. That is exchange-value. That is paradigmatic exchange-value. People mainly want gold because they can sell it at a high price to buy stuff that’s actually useful. If this is use-value, then the distinction between use-value and exchange-value collapses to, well, useless.

I think what Marx is doing here is that he wants use-value to always be higher than exchange-value, so that surplus-value can be the difference between them and always be positive. But gold is a very clear example of a good for which the price greatly exceeds the marginal utility, which I think you can convince yourself by imagining being stranded alone on a desert island with a crate full of gold. If that crate had contained non-perishable food, or water purification equipment, or tools and materials for building shelter, or best of all, a satellite phone and some solar panels, you’d be overjoyed to have it. Even a crate full of books, plushies, or underwear would have some use to you. (Plushies make better friends even than Wilson!) But gold? You have nothing to do but laugh—or cry—at the cruel irony. (And cash would be the same way, though maybe you could use the linen for something.)

But we actually do have a good explanation for how assets such as gold (and Bitcoin) can have prices far exceeding their marginal utility; expectations. If you expect that you’ll be able to sell an asset for more than you paid for it, you have reason to buy that asset, even if it’s useless to you. And for gold, that’s actually been a pretty smart gamble most of the time (Bitcoin, it very much depends on when you bought it). This could be a non-stationary equilibrium in rational expectations, or it could just be an ever-replenishing array of Greater Fools; but one way or another, the reason gold has a high price is that people expect it to have an even higher price in the future.

In fact, this seems like a deep flaw in capitalism! Marx could have spent a whole chapter on why gold is stupid and financial markets are basically a casino—he would have beaten out Keynes on that by decades. (If I were going to worship an economist, it would be Keynes. But again, I still don’t think his work is inerrant. Just very, very good.) But instead, Marx accepted that gold is priced the way it should be, and contorted his already-tortured theory of value into accommodating that.

I really don’t know why Marx was so insistent that all goods had to be valued based on labor. Marx actually had a lot of good insights about capitalism, and he wasn’t entirely wrong that capitalism as we know it breeds exploitation and ever-growing inequality. I believe that relatively simple reforms (like antitrust enforcement, co-ops, and progressive taxation) can solve, or at least mitigate, these problems, and allow us to enjoy the fruits of higher productivity that capitalism provides. But I recognize that I could be wrong about that; maybe some more radical change is genuinely needed. Yet this in no way vindicates Marx’s theory of value, which was simply wrongheaded from the start.

Indeed, why was he so insistent about it?

Why not simply give up on it, and adopt a new theory, or state it as an unsolved problem?

I have a hypothesis about that. Let me reprise proposition 4:

  1. Increased productivity is worthless, because all it does is make our goods worthless as we get better at making them.

This proposition is preposterous, as I’ve already said: A technology that allows you to make 100 cars with the same labor previously required to make 1 car does not make cars less useful. It simply makes them available to more people at lower prices, and this is generally a good thing.

But I think that Marx did not regard it as preposterous; in fact, I think he regarded it as true.

Consider this paragraph:

In proportion as capitalist production is developed in a country, in the same proportion do the

national intensity and productivity of labour there rise above the international level.2 The

different quantities of commodities of the same kind, produced in different countries in the same

working-time, have, therefore, unequal international values, which are expressed in different

prices, i.e., in sums of money varying according to international values. The relative value of

money will, therefore, be less in the nation with more developed capitalist mode of production

than in the nation with less developed. It follows, then, that the nominal wages, the equivalent of

labour-power expressed in money, will also be higher in the first nation than in the second; which

does not at all prove that this holds also for the real wages, i.e., for the means of subsistence

placed at the disposal of the labourer

– Das Kapital, Volume 1, chapter 22, p. 394

So he does get one qualitative fact right here: Nominal prices are higher in rich countries, for goods and services that are not traded across international borders. This is why we use purchasing power parity.

But he then goes on to say that real wages aren’t higher in rich countries. This… is just clearly false. By any reasonable measure, real wages are higher in the United States or France than they are in Congo or Haiti.

One can quibble with the particular measure used; I in fact happen to believe that we do overestimate real wages in the US by using the CPI instead of an index that better reflects the price of necessities. But there’s just no plausible way to say that a laborer in Malawi who makes $600 a year is at the same standard of living as a laborer in the US who makes $20,000. They might both be legitimately considered poor; but saying that real wages aren’t better here just isn’t plausible.

And Marx’s views on wages get weirder from there:

But hand-in-hand with the increasing productivity of labour, goes, as we have seen, the cheapening of the labourer, therefore a higher rate of surplus-value, even when the real wages are rising. The latter never rise proportionally to the productive power of labour. The same value in variable capital therefore sets in movement more labour-power, and, therefore, more labour.

Das Kapital, Volume 1, Chapter 24, p. 421

I’d in particular like to draw your attention to these two clauses: “the cheapening of the labourer, […] even when the real wages are rising.” What in the world does that mean? How can labor simultaneously get cheaper and more expensive? How can I be “cheapened” even as I am better off?

A bit later, he gets close to acknowledging that higher productivity increases value, but he characterizes it in a very strange way:

Labour transmits to its product the value of the means of production consumed by it. On the other

hand, the value and mass of the means of production set in motion by a given quantity of labour

increase as the labour becomes more productive. Though the same quantity of labour adds always

to its products only the same sum of new value, still the old capital value, transmitted by the

labour to the products, increases with the growing productivity of labour.

– Das Kapital, Volume 1, Chapter 24, p. 422

So what he seems to be saying here is that the value added from capital is itself denominated in terms of the labor that was used to create that capital. Yet this is a very strange accounting indeed, as I think a simple model will help you see.

Consider a productivity-enhancing technology.

Suppose that, initially, one can make 1 widget per person-hour. So, Marx says, the value of 1 widget is precisely 1 person-hour.

And suppose there are enough laborers to do 20 person-hours of work. Then we make 20 widgets, and we get value equal to 20 person-hours. Okay, seems reasonable so far.

Then, an engineer comes along, spending 100 hours to invent a machine that costs 10 person-hours to build, and can produce 1000 widgets using 10 person-hours of labor.

So the value of that machine, according to Marx as I understand him, is 10+X person-hours, where X is some amortized fraction of the 100 person-hours involved in inventing it. It’s unclear how to do this amortization; what time frame should be using? Once invented, the machine can be built many times. But I guess we could maybe make sense of it as the patent duration—the price of the machine will surely be higher during the time the patent is still valid, and I guess we could say that is somehow reflected in its value. (Notice how this is already getting pretty weird.)

Now, let’s go ahead and make 1000 widgets with the machine.

We have spent 10 person-hours of labor running the machine, another 10 building it, and we’re supposed to count in X from inventing it in the first place. X ranges somewhere between 0 and 100.

So at the low end, when X=0, these 1000 widgets have only cost us 20 person-hours to make, increasing productivity 50-fold. This is sort of where we expect to end up after the machine goes out of patent and becomes commonplace.

But at the high end, when X=100, these 1000 widgets have cost us 120 person-hours to make, increasing productivity a lesser, but still substantial, 8-fold. This might be where we find ourselves when the very first machine comes online and it’s still an experimental prototype.

Under the utility theory of value (which, again, virtually all mainstream economists, including both neoclassical, behavioral, and even Marxian economists, accept), the value of widgets has increased from U(20) to U(1000); exactly what this value is depends on how many consumers there are and what their utility functions are, but two things we can say for sure:

  • This is definitely much higher than before. (Probably more than 10 but less than 50 times higher.)
  • The value is the same regardless of how we account for the person-hours that went into inventing the machine.
  • The cost gets lower over time, as the technology becomes established.
  • Thus the value added should increase over time. (Whether or not profit does depends upon additional factors we haven’t modeled.)

But as Marx seems to be saying here (again, he may say differently elsewhere, but that’s kind of my point; he doesn’t have a coherent theory), we are to value these 1000 widgets as follows:

When the technology is new, X=100, and so the value of the 1000 widgets is 120 person-hours, the labor that went into inventing, producing, and using the machine. So this productivity enhancement has increased value somewhat—a 6-fold increase—but not all that much. And the value of each widget has been radically reduced: It is now only 0.12 person-hours, or about 7 person-minutes.

Yet once the technology becomes established, X=0, and so the value of the 1000 widgets is 20 person-hours, the labor that went into producing and using the machine. So now this productivity enhancement has not increased value at all. The value of each widget has fallen even further: It is now a mere 0.02 person-hours, or just over 1 person-minute.

This weird dynamic, where technology increases value temporarily, then brings it back down to exactly what it was before, is clearly not how technology actually works. The value added from new technologies—in terms of utility, what really matters—is permanent and increasing over time.

Yet upon re-reading Marx and reflecting some more on his labor theories of value, I think Marx believed that this is actually what happens.

I think that Marx’s whole account of why the rate of profit must fall (even though it absolutely hasn’t, empirically, and even Marxian economists today recognize there’s no particular theoretical reason it should) is based on this misconception.

I think because he believed that labor is the correct measure of value, the fact that human beings can only do so much labor (which hasn’t really changed much over the millennia) means that standard of living can never really increase, because higher productivity simply translates into stuff becoming more and more worthless.

And I think part of where the confusion comes from is that price does sort of behave this way, at least qualitatively; no doubt in a world where widgets can be produced with only 1 minute of labor instead of 60 is one in which widgets are much cheaper to buy. But that doesn’t mean that their value has been correspondingly reduced; they are still just as useful (for whatever widgets do) as they were before, and any decline in marginal value merely comes from diminishing marginal utility as people get more and more of them.

Yet I think Marx didn’t want that result, because it seemed to imply that capitalism could actually make life better, even for workers. (As, empirically, it absolutely did.) He wanted to be able to prove that, despite all appearances, workers have gained absolutely nothing from capitalism and technology, and live just as poorly today as they did in the Middle Ages. And a labor theory of value was just the way to do that, for we only work slightly more hours today than most people did in the Middle Ages (and given the state of Medieval scholarship at the time, Marx may have even thought it was the same). Yet I for one am really a fan of vaccines and flush toilets; I don’t know about you.

He quickly realized many of the problems with this theory, and so he added more and more epicycles to try to correct these problems; but the result was a theory that wasn’t even coherent. Yet in part because of Marx’s incredibly dense and verbose writing style (please note; there are 547 pages in Volume I of Das Kapital, and it has three volumes.)it remained plausible enough to non-experts to catch on, and due to its very complexity, it becomes genuinely hard for anyone to understand. So then we can have the argument I had, where even as I clearly demonstrated the deep flaws in the theory, my interlocutor could always insist I hadn’t really understood what Marx was saying, and it was all my failing, not anything wrong with the theory, which is of course inerrant and handed down from On High.

For some people (not all, but some), Marxism really does seem more like a religion than a scientific theory: “I don’t know exactly what it means, but dammit, I know it’s true and you’ll never convince me otherwise.”

Is there a way to make a labor theory of value work?

I’m pretty well convinced that Marx’s labor theory of value is either wrong, or so incoherent as to be not even wrong. (Adam Smith’s and David Ricardo’s theories were coherent, so they were definitely just wrong.)

But could there, somewhere buried in all those hundreds of pages of mind-numbingly dense and self-contradictory text, be a theory worth salvaging?

Can I steelman the labor theory of value?

I’m going to give it a try.

Okay, so clearly it’s not the actual amount of labor used, as that runs afoul of proposition 1 immediately:

  1. A project you spend 100 hours on which ultimately failed and produced nothing useful was extremely valuable.

That’s nonsense, so we’ll rule that theory out.

Okay, maybe we can patch it up by saying it’s the socially necessary amount of labor required; the amount of labor that the most-efficient worker would require. Clearly, if you are spending 100 hours on something useless, you’re not being the most-efficient worker.

This seems to be closer to Marx’s account, but it still runs afoul of propositions 2, 3, and 4:

  1. Everything in the Garden of Eden is worthless, because it doesn’t require labor to access.
  2. If you come up with a cure for cancer in a random stroke of insight, it’s worthless because you didn’t put any labor into it, even though both its utility (the lives it will save) and its price (the money you could make off of it) are surely astronomical.
  3. Increased productivity is worthless, because all it does is make our goods worthless as we get better at making them.

Marx actually seemed to like proposition 4, but we can see that it’s wrong. So this is a problem.

Also, while propositions 2 and 3 may seem like extreme thought experiments, consider the following:

First, “The Garden of Eden” is very much what a Star Trek-style fully automated luxury communism would feel like. Many leftists say that they really would like to see such a world, and I agree with them on this. But on this theory of value, it’s all worthless, because nobody has to work to get anything.

Second, a sudden insight into a miracle cure that ends up becoming cheap and plentiful is pretty much what happened with penicillin and vaccines. Yes, there was some labor involved in making them (and still is), but it was clearly far less than the utility gained from all the improvements in health and lifespan that we have received from these inventions. Valuing these technologies in terms of their labor cost seems to completely miss the point of why they were such miracles.

So is there some other way to make a labor theory of value work?

The best I can come up with is this:

The value of a product is the amount of labor it would take to make that product by hand with pre-historic technology.

This is my attempt at steelmanning the labor theory of value. It does solve propositions 2, 3, and 4:

For 2, the fact that everything is handed to you (perhaps by robots) doesn’t change the fact that making it yourself would be really, really hard.

For 3, it’s much harder to make penicillin by hand than in a factory (though it can be done!), so improved penicillin technology is a gain in value. And every new vial of penicillin is worth the many hours that would have gone into making it by hand.

And for 4, any improvement in labor productivity works exactly how you’d expect: A machine that can do the work of 100 people produces 100 times as much value in goods. (In some ways, this is even more intuitive to most people than the utility theory of value, which predicts an increase, but not a one-to-one increase.)

So, okay, this theory is not preposterous, unlike everything we’ve considered so far.

But it really can’t be Marx’s theory, because he contradicts it very heavily in multiple places, and this theory, unlike his, does not predict that the rate of profit must fall. (Which, again, is good, because it doesn’t.)

Yet even this theory is ultimately unsatisfying, for the following reasons:

  1. Some products literally cannot be made by hand using pre-historic technology. Consider a graphics card or a strong-force microscope. In order to make these things, we had to make tools to make better tools to make even better tools to make still better tools to make yet even better tools to make staggeringly near-flawless tools to make them. Even if you had the complete schematics for all the necessary tools and machines, all the raw materials you needed, and an unlimited supply of labor, I’m not sure you could build a graphics card from scratch within a single lifetime.
  2. While it can account for the value of increased efficiency in producing a given good, it doesn’t seem to be able to account for the value of inventing whole new classes of goods. (Yes, penicillin can be made by hand using pre-historic tools, but nobody did as far as we know, and the value of that invention was absolutely enormous in a way that even this labor theory of value cannot account for.)

These two problems are related: The new products you can make now that you couldn’t before are made possible by a mix of new ideas and an accumulation of better and better tools.

As far as proposition 5, I think we might be able to shore up the theory by counting the value of capital accumulation in terms of the labor that would be needed at each level of technology: however many person-hours to make the optical microscope, and then however many person-hours to make lasers, and however many person-hours to make sulfuric acid, and so on and so forth, until you’ve finally added up all the labor that went into producing the things that produced the things that produced the things that produced the things that produced graphics cards.

But as for proposition 6? I think this is just fatal. I don’t think there’s any way for a labor theory of value to not systematically and catastrophically undervalue new discoveries and new inventions.

The whole point of new inventions is that they make new things possible or allow us to do things with far less effort or cost than before. The value they create is in the labor they save. But if they are things we theoretically could have done, just didn’t know how (like penicillin), then there is no value added by the discovery (though at least there can be a lot of value added by the actual production). And if they are things we couldn’t have done until we reached a certain level of technology and capital, the value added seems to all be captured by the production of each new tier of technology, with nothing left to go to the discovery itself.

Maybe there’s still a way to save this theory. But at some point, we have to stop and ask ourselves:

Why?

Why do we even want a labor theory of value, when we already have a utility theory of value?

Maybe it’s the fact that utility is hard to measure precisely, and so the idea of basing our value system on it is uncomfortable? Yet I think this is just a fact of life: The things that really matter are hard to measure precisely.

And it’s not as if we have absolutely no idea: We can tell the difference between happiness and suffering, and we can see how various products and technologies can contribute to happiness and alleviate suffering. (We can also see how some products and technologies can reduce happiness and contribute to suffering! Not all new technologies are good, and some products that are good for their users are bad for other people!)

Indeed, we even have a unit of measurement: The QALY. And for some particular technologies—such as penicillin and vaccines—we actually have a pretty good idea of the number of QALY they’ve added to the world, and it’s enormous.

I’m not even saying Marx was wrong about everything. He had some good ideas, actually. And Marxian economists today do sometimes come up with useful findings that can be integrated into a deeper understanding of political economy.

But he was wrong about some things, and the labor theory of value is one of them.

Taylor Swift and the means of production

PNRJ development economics, futurism, inequality, market failure, politics , , , , , , , , , , , ,

Oct 5 JDN 2460954

This post is one I’ve been meaning to write for awhile, but current events keep taking precedence.

In 2023, Taylor Swift did something very interesting from an economic perspective, which turns out to have profound implications for our economic future.

She re-recorded an entire album and released it through a different record company.

The album was called 1989 (Taylor’s Version), and she created it because for the last four years she had been fighting with Big Machine Records over the rights to her previous work, including the original album 1989.

A Marxist might well say she seized the means of production! (How rich does she have to get before she becomes bourgeoisie, I wonder? Is she already there, even though she’s one of a handful of billionaires who can truly say they were self-made?)

But really she did something even more interesting than that. It was more like she said:

“Seize the means of production? I am the means of production.”

Singing and songwriting are what is known as a human-capital-intensive industry. That is, the most important factor of production is not land, or natural resources, or physical capital (yes, you need musical instruments, amplifiers, recording equipment and the like—but these are a small fraction of what it costs to get Talor Swift for a concert), or even labor in the ordinary sense. It’s one where so-called (honestly poorly named) “human capital” is the most important factor of production.

A labor-intensive industry is one where you just need a lot of work to be done, but you can get essentially anyone to do it: Cleaning floors is labor-intensive. A lot of construction work is labor-intensive (though excavators and the like also make it capital-intensive).

No, for a human-capital-intensive industry, what you need is expertise or talent. You don’t need a lot of people doing back-breaking work; you need a few people who are very good at doing the specific thing you need to get done.

Taylor Swift was able to re-record and re-release her songs because the one factor of production that couldn’t be easily substituted was herself. Big Machine Records overplayed their hand; they thought they could control her because they owned the rights to her recordings. But she didn’t need her recordings; she could just sing the songs again.

But now I’m sure you’re wondering: So what?

Well, Taylor Swift’s story is, in large part, the story of us all.

For most of the 18th, 19th, and 20th centuries, human beings in developed countries saw a rapid increase in their standard of living.

Yes, a lot of countries got left behind until quite recently.

Yes, this process seems to have stalled in the 21st century, with “real GDP” continuing to rise but inequality and cost of living rising fast enough that most people don’t feel any richer (and I’ll get to why that may be the case in a moment).

But for millions of people, the gains were real, and substantial. What was it that brought about this change?

The story we are usually told is that it was capital; that as industries transitioned from labor-intensive to capital-intensive, worker productivity greatly increased, and this allowed us to increase our standard of living.

That’s part of the story. But it can’t be the whole thing.

Why not, you ask?

Because very few people actually own the capital.

When capital ownership is so heavily concentrated, any increases in productivity due to capital-intensive production can simply be captured by the rich people who own the capital. Competition was supposed to fix this, compelling them to raise wages to match productivity, but we often haven’t actually had competitive markets; we’ve had oligopolies that consolidate market power in a handful of corporations. We had Standard Oil before, and we have Microsoft now. (Did you know that Microsoft not only owns more than half the consumer operating system industry, but after acquiring Activision Blizzard, is now the largest video game company in the world?) In the presence of an oligopoly, the owners of the capital will reap the gains from capital-intensive productivity.

But standards of living did rise. So what happened?

The answer is that production didn’t just become capital-intensive. It became human-capital-intensive.

More and more jobs required skills that an average person didn’t have. This created incentives for expanding public education, making workers not just more productive, but also more aware of how things work and in a stronger bargaining position.

Today, it’s very clear that the jobs which are most human-capital-intensive—like doctors, lawyers, researchers, and software developers—are the ones with the highest pay and the greatest social esteem. (I’m still not 100% sure why stock traders are so well-paid; it really isn’t that hard to be a stock trader. I could write you an algorithm in 50 lines of Python that would beat the average trader (mostly by buying ETFs). But they pretend to be human-capital-intensive by hiring Harvard grads, and they certainly pay as if they are.)

The most capital-intensive industries—like factory work—are reasonably well-paid, but not that well-paid, and actually seem to be rapidly disappearing as the capital simply replaces the workers. Factory worker productivity is now staggeringly high thanks to all this automation, but the workers themselves have gained only a small fraction of this increase in higher wages; by far the bigger effect has been increased profits for the capital owners and reduced employment in manufacturing.

And of course the real money is all in capital ownership. Elon Musk doesn’t have $400 billion because he’s a great engineer who works very hard. He has $400 billion because he owns a corporation that is extremely highly valued (indeed, clearly overvalued) in the stock market. Maybe being a great engineer or working very hard helped him get there, but it was neither necessary nor sufficient (and I’m sure that his dad’s emerald mine also helped).

Indeed, this is why I’m so worried about artificial intelligence.

Most forms of automation replace labor, in the conventional labor-intensive sense: Because you have factory robots, you need fewer factory workers; because you have mountaintop removal, you need fewer coal miners. It takes fewer people to do the same amount of work. But you still need people to plan and direct the process, and in fact those people need to be skilled experts in order to be effective—so there’s a complementarity between automation and human capital.

But AI doesn’t work like that. AI substitutes for human capital. It doesn’t just replace labor; it replaces expertise.

So far, AI is currently too unreliable to replace any but entry-level workers in human-capital-intensive industries (though there is some evidence it’s already doing that). But it will most likely get more reliable over time, if not via the current LLM paradigm, than through the next one that comes after. At some point, AI will come to replace experienced software developers, and then veteran doctors—and I don’t think we’ll be ready.

The long-term pattern here seems to be transitioning away from human-capital-intensive production to purely capital-intensive production. And if we don’t change the fact that capital ownership is heavily concentrated and so many of our markets are oligopolies—which we absolutely do not seem poised to do anything about; Democrats do next to nothing and Republicans actively and purposefully make it worse—then this transition will be a recipe for even more staggering inequality than before, where the rich will get even more spectacularly mind-bogglingly rich while the rest of us stagnate or even see our real standard of living fall.

The tech bros promise us that AI will bring about a utopian future, but that would only work if capital ownership were equally shared. If they continue to own all the AIs, they may get a utopia—but we sure won’t.

We can’t all be Taylor Swift. (And if AI music catches on, she may not be able to much longer either.)

The AI bubble is going to crash hard

PNRJ critique of neoclassical economics, current events, futurism, market failure, public policy , , , , , , , , , , , , , ,

Sep 7 JDN 2460926

Based on the fact that it only sort of works and yet corps immediately put it in everything, I had long suspected that the current wave of AI was a bubble. But after reading Ed Zitron’s epic takedowns of the entire industry, I am not only convinced it’s a bubble; I’m convinced it is probably the worst bubble we’ve had in a very long time. This isn’t the dot-com crash; it’s worse.

The similarity to the dot-com crash is clear, however: This a huge amount of hype over a new technology that genuinely could be a game-changer (the Internet certainly was!), but won’t be in the time horizon on which the most optimistic investors have assumed it will be. The gap between “it sort of works” and “it radically changes our economy” is… pretty large, actually. It’s not something you close in a few years.


The headline figure here is that based on current projections, US corporations will have spent $560 billion on capital expenditure, for anticipated revenue of only $35 billion.

They won’t pay it off for 16 years!? That kind of payoff rate would make sense for large-scale physical infrastructure, like a hydroelectric dam. It absolutely does not make sense in an industry that is dependent upon cutting-edge technology that wears out fast and becomes obsolete even faster. They must think that revenue is going to increase to something much higher, very soon.

The corps seem to be banking on the most optimistic view of AI: That it will soon—very soon—bring about a radical increase in productivity that brings GDP surging to new heights, or even a true Singularity where AI fundamentally changes the nature of human existence.

Given the kind of errors I’ve seen LLMs make when I tried to use them to find research papers or help me with tedious coding, this is definitely not what’s going to happen. Claude gives an impressive interview, and (with significant guidance and error-correction) it also managed pretty well at making some simple text-based games; but it often recommended papers to me that didn’t exist, and through further experimentation, I discovered that it could not write me a functional C++ GUI if its existence depended on it. Somewhere on the Internet I heard someone describe LLMs as answering not the question you asked directly, but the question, “What would a good answer to this question look like?” and that seems very accurate. It always gives an answer that looks valid—but not necessarily one that is valid.

AI will find some usefulness in certain industries, I’m sure; and maybe the next paradigm (or the one after that) will really, truly, effect a radical change on our society. (Right now the best thing to use LLMs for seems to be cheating at school—and it also seems to be the most common use. Not exactly the great breakthrough we were hoping for.) But LLMs are just not reliable enough to actually use for anything important, and sooner or later, most of the people using them are going to figure that out.

Of course, by the Efficient Roulette Hypothesis, it’s extremely difficult to predict exactly when a bubble will burst, and it could well be that NVIDIA stock will continue to grow at astronomical rates for several years yet—or it could be that the bubble bursts tomorrow and NVIDIA stock collapses, if not to worthless, then to far below its current price.

Krugman has an idea of what might be the point that bursts the bubble: Energy costs. There is a clear mismatch between the anticipated energy needs of these ever-growing data centers and the actual energy production we’ve been installing—especially now that Trump and his ilk have gutted subsidies for solar and wind power. That’s definitely something to watch out for.

But the really scary thing is that the AI bubble actually seems to be the only thing holding the US economy above water right now. It’s the reason why Trump’s terrible policies haven’t been as disastrous as economists predicted they would; our economy is being sustained by this enormous amount of capital investment.

US GDP is about $30 trillion right now, but $500 billion of that is just AI investment. That’s over 1.6%, and last quarter our annualized GDP growth rate was 3.3%—so roughly half of our GDP growth was just due to building more data centers that probably won’t even be profitable.

Between that, the tariffs, the loss of immigrants, and rising energy costs, a crashing AI bubble could bring down the whole stock market with it.

So I guess what I’m saying is: Don’t believe the AI hype, and you might want to sell some stocks.

The problem with “human capital”

PNRJ core principles, critique of neoclassical economics, ethics , , , , , , , , , , , , , , ,

Dec 3 JDN 2460282

By now, human capital is a standard part of the economic jargon lexicon. It has even begun to filter down into society at large. Business executives talk frequently about “investing in their employees”. Politicians describe their education policies as “investing in our children”.

The good news: This gives businesses a reason to train their employees, and governments a reason to support education.

The bad news: This is clearly the wrong reason, and it is inherently dehumanizing.

The notion of human capital means treating human beings as if they were a special case of machinery. It says that a business may own and value many forms of productive capital: Land, factories, vehicles, robots, patents, employees.

But wait: Employees?


Businesses don’t own their employees. They didn’t buy them. They can’t sell them. They couldn’t make more of them in another factory. They can’t recycle them when they are no longer profitable to maintain.

And the problem is precisely that they would if they could.

Indeed, they used to. Slavery pre-dates capitalism by millennia, but the two quite successfully coexisted for hundreds of years. From the dawn of civilization up until all too recently, people literally were capital assets—and we now remember it as one of the greatest horrors human beings have ever inflicted upon one another.

Nor is slavery truly defeated; it has merely been weakened and banished to the shadows. The percentage of the world’s population currently enslaved is as low as it has ever been, but there are still millions of people enslaved. In Mauritania, slavery wasn’t even illegal until 1981, and those laws weren’t strictly enforced until 2007. (I had graduated from high school!) One of the most shocking things about modern slavery is how cheaply human beings are willing to sell other human beings; I have bought sandwiches that cost more than some people have paid for other people.

The notion of “human capital” basically says that slavery is the correct attitude to have toward people. It says that we should value human beings for their usefulness, their productivity, their profitability.

Business executives are quite happy to see the world in that way. It makes the way they have spent their lives seem worthwhile—perhaps even best—while allowing them to turn a blind eye to the suffering they have neglected or even caused along the way.

I’m not saying that most economists believe in slavery; on the contrary, economists led the charge of abolitionism, and the reason we wear the phrase “the dismal science” like a badge is that the accusation was first leveled at us for our skepticism toward slavery.

Rather, I’m saying that jargon is not ethically neutral. The names we use for things have power; they affect how people view the world.

This is why I always endeavor to always speak of net wealth rather than net worth—because a billionare is not worth more than other people. I’m not even sure you should speak of the net worth of Tesla Incorporated; perhaps it would be better to simply speak of its net asset value or market capitalization. But at least Tesla is something you can buy and sell (piece by piece). Elon Musk is not.

Likewise, I think we need a new term for the knowledge, skills, training, and expertise that human beings bring to their work. It is clearly extremely important; in fact in some sense it’s the most important economic asset, as it’s the only one that can substitute for literally all the others—and the one that others can least substitute for.

Human ingenuity can’t substitute for air, you say? Tell that to Buzz Aldrin—or the people who were once babies that breathed liquid for their first months of life. Yes, it’s true, you need something for human ingenuity to work with; but it turns out that with enough ingenuity, you may not need much, or even anything in particular. One day we may manufacture the air, water and food we need to live from pure energy—or we may embody our minds in machines that no longer need those things.

Indeed, it is the expansion of human know-how and technology that has been responsible for the vast majority of economic growth. We may work a little harder than many of our ancestors (depending on which ancestors you have in mind), but we accomplish with that work far more than they ever could have, because we know so many things they did not.

All that capital we have now is the work of that ingenuity: Machines, factories, vehicles—even land, if you consider all the ways that we have intentionally reshaped the landscape.

Perhaps, then, what we really need to do is invert the expression:

Humans are not machines. Machines are embodied ingenuity.

We should not think of human beings as capital. We should think of capital as the creation of human beings.

Marx described capital as “embodied labor”, but that’s really less accurate: What makes a robot a robot is much less about the hours spent building it, than the centuries of scientific advancement needed to understand how to make it in the first place. Indeed, if that robot is made by another robot, no human need ever have done any labor on it at all. And its value comes not from the work put into it, but the work that comes out of it.

Like so much of neoliberal ideology, the notion of human capital seems to treat profit and economic growth as inherent ends in themselves. Human beings only become valued insofar as we advance the will of the almighty dollar. We forget that the whole reason we should care about economic growth in the first place is that it benefits people. Money is the means, not the end; people are the end, not the means.

We should not think in terms of “investing in children”, as if they were an asset that was meant to yield a return. We should think of enriching our children—of building a better world for them to live in.

We should not speak of “investing in employees”, as though they were just another asset. We should instead respect employees and seek to treat them with fairness and justice.

That would still give us plenty of reason to support education and training. But it would also give us a much better outlook on the world and our place in it.

You are worth more than your money or your job.

The economy exists for people, not the reverse.

Don’t ever forget that.

The inequality of factor mobility

PNRJ critique of neoclassical economics, public policy, tribal paradigm , , , , , , , , , , , , , , , , , , ,

Sep 24 JDN 2460212

I’ve written before about how free trade has brought great benefits, but also great costs. It occurred to me this week that there is a fairly simple reason why free trade has never been as good for the world as the models would suggest: Some factors of production are harder to move than others.

To some extent this is due to policy, especially immigration policy. But it isn’t just that.There are certain inherent limitations that render some kinds of inputs more mobile than others.

Broadly speaking, there are five kinds of inputs to production: Land, labor, capital, goods, and—oft forgotten—ideas.

You can of course parse them differently: Some would subdivide different types of labor or capital, and some things are hard to categorize this way. The same product, such as an oven or a car, can be a good or capital depending on how it’s used. (Or, consider livestock: is that labor, or capital? Or perhaps it’s a good? Oddly, it’s often discussed as land, which just seems absurd.) Maybe ideas can be considered a form of capital. There is a whole literature on human capital, which I increasingly find distasteful, because it seems to imply that economists couldn’t figure out how to value human beings except by treating them as a machine or a financial asset.

But this four-way categorization is particularly useful for what I want to talk about today. Because the rate at which those things move is very different.

Ideas move instantly. It takes literally milliseconds to transmit an idea anywhere in the world. This wasn’t always true; in ancient times ideas didn’t move much faster than people, and it wasn’t until the invention of the telegraph that their transit really became instantaneous. But it is certainly true now; once this post is published, it can be read in a hundred different countries in seconds.

Goods move in hours. Air shipping can take a product just about anywhere in less than a day. Sea shipping is a bit slower, but not radically so. It’s never been easier to move goods all around the world, and this has been the great success of free trade.

Capital moves in weeks. Here it might be useful to subdivide different types of capital: It’s surely faster to move an oven or even a car (the more good-ish sort of capital) than it is to move an entire factory (capital par excellence). But all in all, we can move stuff pretty fast these days. If you want to move your factory to China or Indonesia, you can probably get it done in a matter of weeks or at most months.

Labor moves in months. This one is a bit ironic, since it is surely easier to carry a single human person—or even a hundred human people—than all the equipment necessary to run an entire factory. But moving labor isn’t just a matter of physically carrying people from one place to another. It’s not like tourism, where you just pack and go. Moving labor requires uprooting people from where they used to live and letting them settle in a new place. It takes a surprisingly long time to establish yourself in a new environment—frankly even after two years in Edinburgh I’m not sure I quite managed it. And all the additional restrictions we’ve added involving border crossings and immigration laws and visas only make it that much slower.

Land moves never. This one seems perfectly obvious, but is also often neglected. You can’t pick up a mountain, a lake, a forest, or even a corn field and carry it across the border. (Yes, eventually plate tectonics will move our land around—but that’ll be millions of years.) Basically, land stays put—and so do all the natural environments and ecosystems on that land. Land isn’t as important for production as it once was; before industrialization, we were dependent on the land for almost everything. But we absolutely still are dependent on the land! If all the topsoil in the world suddenly disappeared, the economy wouldn’t simply collapse: the human race would face extinction. Moreover, a lot of fixed infrastructure, while technically capital, is no more mobile than land. We couldn’t much more easily move the Interstate Highway System to China than we could move Denali.

So far I have said nothing particularly novel. Yeah, clearly it’s much easier to move a mathematical theorem (if such a thing can even be said to “move”) than it is to move a factory, and much easier to move a factory than to move a forest. So what?

But now let’s consider the impact this has on free trade.

Ideas can move instantly, so free trade in ideas would allow all the world to instantaneously share all ideas. This isn’t quite what happens—but in the Internet age, we’re remarkably close to it. If anything, the world’s governments seem to be doing their best to stop this from happening: One of our most strictly-enforced trade agreements, the TRIPS Accord, is about stopping ideas from spreading too easily. And as far as I can tell, region-coding on media goes against everything free trade stands for, yet here we are. (Why, it’s almost as if these policies are more about corporate profits than they ever were about freedom!)

Goods and capital can move quickly. This is where we have really felt the biggest effects of free trade: Everything in the US says “made in China” because the capital is moved to China and then the goods are moved back to the US.

But it would honestly have made more sense to move all those workers instead. For all their obvious flaws, US institutions and US infrastructure are clearly superior to those in China. (Indeed, consider this: We may be so aware of the flaws because the US is especially transparent.) So, the most absolutely efficient way to produce all those goods would be to leave the factories in the US, and move the workers from China instead. If free trade were to achieve its greatest promises, this is the sort of thing we would be doing.


Of course that is not what we did. There are various reasons for this: A lot of the people in China would rather not have to leave. The Chinese government would not want them to leave. A lot of people in the US would not want them to come. The US government might not want them to come.

Most of these reasons are ultimately political: People don’t want to live around people who are from a different nation and culture. They don’t consider those people to be deserving of the same rights and status as those of their own country.

It may sound harsh to say it that way, but it’s clearly the truth. If the average American person valued a random Chinese person exactly the same as they valued a random other American person, our immigration policy would look radically different. US immigration is relatively permissive by world standards, and that is a great part of American success. Yet even here there is a very stark divide between the citizen and the immigrant.

There are morally and economically legitimate reasons to regulate immigration. There may even be morally and economically legitimate reasons to value those in your own nation above those in other nations (though I suspect they would not justify the degree that most people do). But the fact remains that in terms of pure efficiency, the best thing to do would obviously be to move all the people to the place where productivity is highest and do everything there.

But wouldn’t moving people there reduce the productivity? Yes. Somewhat. If you actually tried to concentrate the entire world’s population into the US, productivity in the US would surely go down. So, okay, fine; stop moving people to a more productive place when it has ceased to be more productive. What this should do is average out all the world’s labor productivity to the same level—but a much higher level than the current world average, and frankly probably quite close to its current maximum.

Once you consider that moving people and things does have real costs, maybe fully equaling productivity wouldn’t make sense. But it would be close. The differences in productivity across countries would be small.

They are not small.

Labor productivity worldwide varies tremendously. I don’t count Ireland, because that’s Leprechaun Economics (this is really US GDP with accounting tricks, not Irish GDP). So the prize for highest productivity goes to Norway, at $100 per worker hour (#ScandinaviaIsBetter). The US is doing the best among large countries, at an impressive $73 per hour. And at the very bottom of the list, we have places like Bangladesh at $4.79 per hour and Cambodia at $3.43 per hour. So, roughly speaking, there is about a 20-to-1 ratio between the most productive and least productive countries.

I could believe that it’s not worth it to move US production at $73 per hour to Norway to get it up to $100 per hour. (For one thing, where would we fit it all?) But I find it far more dubious that it wouldn’t make sense to move most of Cambodia’s labor to the US. (Even all 16 million people is less than what the US added between 2010 and 2020.) Even given the fact that these Cambodian workers are less healthy and less educated than American workers, they would almost certainly be more productive on the other side of the Pacific, quite likely ten times as productive as they are now. Yet we haven’t moved them, and have no plans to.

That leaves the question of whether we will move our capital to them. We have been doing so in China, and it worked (to a point). Before that, we did it in Korea and Japan, and it worked. Cambodia will probably come along sooner or later. For now, that seems to be the best we can do.

But I still can’t shake the thought that the world is leaving trillions of dollars on the table by refusing to move people. The inequality of factor mobility seems to be a big part of the world’s inequality, period.

Scalability and inequality

PNRJ core principles, inequality, mathematical models, statistics , , , , , , , , , , , , , ,

May 15 JDN 2459715

Why are some molecules (e.g. DNA) billions of times larger than others (e.g. H2O), but all atoms are within a much narrower range of sizes (only a few hundred)?

Why are some animals (e.g. elephants) millions of times as heavy as other (e.g. mice), but their cells are basically the same size?

Why does capital income vary so much more (factors of thousands or millions) than wages (factors of tens or hundreds)?

These three questions turn out to have much the same answer: Scalability.

Atoms are not very scalable: Adding another proton to a nucleus causes interactions with all the other protons, which makes the whole atom unstable after a hundred protons or so. But molecules, particularly organic polymers such as DNA, are tremendously scalable: You can add another piece to one end without affecting anything else in the molecule, and keep on doing that more or less forever.

Cells are not very scalable: Even with the aid of active transport mechanisms and complex cellular machinery, a cell’s functionality is still very much limited by its surface area. But animals are tremendously scalable: The same exponential growth that got you from a zygote to a mouse only needs to continue a couple years longer and it’ll get you all the way to an elephant. (A baby elephant, anyway; an adult will require a dozen or so years—remarkably comparable to humans, in fact.)

Labor income is not very scalable: There are only so many hours in a day, and the more hours you work the less productive you’ll be in each additional hour. But capital income is perfectly scalable: We can add another digit to that brokerage account with nothing more than a few milliseconds of electronic pulses, and keep doing that basically forever (due to the way integer storage works, above 2^63 it would require special coding, but it can be done; and seeing as that’s over 9 quintillion, it’s not likely to be a problem any time soon—though I am vaguely tempted to write a short story about an interplanetary corporation that gets thrown into turmoil by an integer overflow error).

This isn’t just an effect of our accounting either. Capital is scalable in a way that labor is not. When your contribution to production is owning a factory, there’s really nothing to stop you from owning another factory, and then another, and another. But when your contribution is working at a factory, you can only work so hard for so many hours.

When a phenomenon is highly scalable, it can take on a wide range of outcomes—as we see in molecules, animals, and capital income. When it’s not, it will only take on a narrow range of outcomes—as we see in atoms, cells, and labor income.

Exponential growth is also part of the story here: Animals certainly grow exponentially, and so can capital when invested; even some polymers function that way (e.g. under polymerase chain reaction). But I think the scalability is actually more important: Growing rapidly isn’t so useful if you’re going to immediately be blocked by a scalability constraint. (This actually relates to the difference between r- and K- evolutionary strategies, and offers further insight into the differences between mice and elephants.) Conversely, even if you grow slowly, given enough time, you’ll reach whatever constraint you’re up against.

Indeed, we can even say something about the probability distribution we are likely to get from random processes that are scalable or non-scalable.

A non-scalable random process will generally converge toward the familiar normal distribution, a “bell curve”:

[Image from Wikipedia: By Inductiveload – self-made, Mathematica, Inkscape, Public Domain, https://commons.wikimedia.org/w/index.php?curid=3817954]

The normal distribution has most of its weight near the middle; most of the population ends up near there. This is clearly the case for labor income: Most people are middle class, while some are poor and a few are rich.

But a scalable random process will typically converge toward quite a different distribution, a Pareto distribution:

[Image from Wikipedia: By Danvildanvil – Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=31096324]

A Pareto distribution has most of its weight near zero, but covers an extremely wide range. Indeed it is what we call fat tailed, meaning that really extreme events occur often enough to have a meaningful effect on the average. A Pareto distribution has most of the people at the bottom, but the ones at the top are really on top.

And indeed, that’s exactly how capital income works: Most people have little or no capital income (indeed only about half of Americans and only a third(!) of Brits own any stocks at all), while a handful of hectobillionaires make utterly ludicrous amounts of money literally in their sleep.

Indeed, it turns out that income in general is pretty close to distributed normally (or maybe lognormally) for most of the income range, and then becomes very much Pareto at the top—where nearly all the income is capital income.

This fundamental difference in scalability between capital and labor underlies much of what makes income inequality so difficult to fight. Capital is scalable, and begets more capital. Labor is non-scalable, and we only have to much to give.

It would require a radically different system of capital ownership to really eliminate this gap—and, well, that’s been tried, and so far, it hasn’t worked out so well. Our best option is probably to let people continue to own whatever amounts of capital, and then tax the proceeds in order to redistribute the resulting income. That certainly has its own downsides, but they seem to be a lot more manageable than either unfettered anarcho-capitalism or totalitarian communism.

Capitalism can be fair

PNRJ core principles, ethics , , , , , ,

Aug 22 JDN 2459449

There are certainly extreme right-wing libertarians who seem to think that capitalism is inherently fair, or that “fairness” is meaningless and (some very carefully defined notion of) liberty is the only moral standard. I am not one of them. I agree that many of the actual practices of modern capitalism as we know it are unfair, particularly in the treatment of low-skill workers.

But lately I’ve been seeing a weirdly frequent left-wing take—Marxist take, really—that goes to the opposite extreme, saying that capitalism is inherently unfair, that the mere fact that capital owners ever get any profit on anything is proof that the system is exploitative and unjust and must be eliminated.

So I decided it would be worthwhile to provide a brief illustration of how, at least in the best circumstances, a capitalist system of labor can in fact be fair and just.

The argument that capitalism is inherently unjust seems to be based on the notion that profit means “workers are paid less than their labor is worth”. I think that the reason this argument is so insidious is that it’s true in one sense—but not true in another. Workers are indeed paid less than the total surplus of their actual output—but, crucially, they are not paid less than what the surplus of their output would have been had the capital owner not provided capital and coordination.

Suppose that we are making some sort of product. To make it more concrete, let’s say shirts. You can make a shirt by hand, but it’s a lot of work, and it takes a long time. Suppose that you, working on your own by hand, can make 1 shirt per day. You can sell each shirt for $10, so you get $10 per day.

Then, suppose that someone comes along who owns looms and sewing machines. They gather you and several other shirt-makers and offer to let you use their machines, in exchange for some of the revenue. With the aid of 9 other workers and the machines, you are able to make 30 shirts per day. You can still sell each shirt for $10, so now there is total revenue of $300.

Whether or not this is fair depends on precisely the bargain that was struck with the owner of the machines. Suppose that he asked for 40% of the revenue. Then the 10 workers including yourself would get (0.60)($300) = $180 to split, presumably evenly, and each get $18 per day. This seems fair; you’re clearly better off than you were making shirts by yourself. The capital owner then gets (0.40)($300) = $120, which is more than each of you, but not by a ridiculous amount; and he probably has costs to deal with in maintaining those machines.

But suppose instead the owner had demanded 80% of the revenue; then you would have to split (0.20)($300) = $60 between you, and each would only get $6 per day. The capital owner would then get (0.80)($300) = $240, 40 times as much as each of you.

Or perhaps instead of a revenue-sharing agreement, the owner offers to pay you a wage. If that wage is $18 per day, it seems fair. If it is $6 per day, it seems obviously unfair.

If this owner is the only employer, then he is competing only with working alone. So we would expect him to offer a wage of $10 per day, or maybe slightly more since working with the machines may be harder or more unpleasant than working by hand.

But if there are many employers, then he is now competing with those employers as well. If he offers $10, someone else might offer $12, and a third might offer $15. Competition should drive the system toward an equilibrium where workers are getting paid their marginal value product—in other words, the wage for one hour of work should equal the additional value added by one more hour of work.

In the case that seems fair, where workers are getting more money than they would have on their own, are they getting paid “less than the value of their labor”? In one sense, yes; the total surplus is not going all to the workers, but is being shared with the owner of the machines. But the more important sense is whether they’d be better off quitting and working on their own—and they obviously would not be.

What value does the capital owner provide? Well, the capital, of course. It’s their property and they are letting other people use it. Also, they incur costs to maintain it.

Of course, it matters how the capital owner obtained that capital. If they are an inventor who made it themselves, it seems obviously just that they should own it. If they inherited it or got lucky on the stock market, it isn’t something they deserve in a deep sense, but it’s reasonable to say they are entitled to it. But if the only reason they have the capital is by theft, fraud, or exploitation, then obviously they don’t deserve it. In practice, there are very few of the first category, a huge number of the second, and all too many of the third. Yet this is not inherent to the capitalist work arrangement. Many capital owners don’t deserve what they own; but those who do have a right to make a profit letting other people use their property.

There are of course many additional complexities that arise in the real world, in terms of market power, bargaining, asymmetric information, externalities, and so on. I freely admit that in practice, capitalism is often unfair. But I think it’s worth pointing out that the mere existence of profit from capital ownership is not inherently unjust, and in fact by organizing our economy around it we have managed to achieve unprecedented prosperity.

How much wealth is there in the world?

PNRJ inequality , , ,

July 14 JDN 2458679

How much wealth is there in the world? If we split it all evenly, how much would each of us have?

It’s a surprisingly complicated question: What counts as wealth? Presumably we include financial assets, real estate, commodities—anything that can be sold on a market. But what about natural resources? Shouldn’t we somehow value clean air and water? What about human capital—health, knowledge, skills, and expertise that make us able to work better?

I’m going to stick with tradeable assets for now, because I’m interested in questions of redistribution. If we were to add up all the wealth in the United States, or all the wealth in the world, and split it all evenly, how much would each person get? Even then, there are questions about how to price assets: Do we current market prices, or what was actually paid for them in the past? How much do we depreciate? How do we count debt that was used to buy non-financial assets (such as student loans)?

The Federal Reserve reports an official estimate of the US capital stock at $56.2 trillion (in 2011 dollars). Assuming that a third of income is capital income, that means that of our GDP of $18.9 trillion (in 2012 dollars), this would make the rate of return on capital 11%. That rate of return strikes me as pretty clearly too high. This must be an underestimate of our capital stock.

The 2015 Global Wealth Report estimates total US wealth as $63.5 trillion, and total world wealth as $153.2 trillion. This was for 2014, so using the US GDP growth rate of about 2% and the world GDP growth rate of 3.6%, the current wealth stocks should be about $70 trillion and $183 trillion respectively.

This gives a much more plausible rate of return: One third of the US GDP of $19.6 trillion (in 2014 dollars) is $6.53 trillion, yielding a rate of return of about 9%.

One third of the world GDP of $78 trillion is $26 trillion, yielding a rate of return of about 14%. This seems a bit high, but we’re including a lot of countries with very little capital that we would expect to have very high rates of return, so it might be right.

Credit Suisse releases estimates of total wealth that are supposed to include non-financial assets as well, though these are even more uncertain than financial assets. They estimate total US wealth as $98 trillion and total world wealth as $318 trillion.

There’s a lot of uncertainty around all of these figures, but I think these are close enough to get a sense of what sort of redistribution might be possible.

If the US wealth stock is about $70 trillion and our population is about 330 million, that means that the average wealth of an American is $200,000. If our wealth stock is instead about $98 trillion, the average wealth of an American is about $300,000.

Since the average number of people in a US household is 2.5, this means that average household wealth is somewhere between $500,000 and $750,000. This is actually a bit less than I thought; I would have guessed that the mythical “average American household” is a millionaire. (Of course, even Credit Suisse might be underestimating our wealth stock.)

If the world wealth stock is about $180 trillion and the population is about 7.7 billion, global average wealth per person is about $23,000. If instead the global wealth stock is about $320 trillion, the average wealth of a human being is about $42,000.

Both of these are far above the median wealth, which is much more representative of what a typical person has. Median wealth per adult in the US is about $65,000; worldwide it’s only about $4,200.

This means that if we were to somehow redistribute all wealth in the United States, half the population would gain an average of somewhere between $140,000 and $260,000, or on a percentage basis, the median American would see their wealth increase by 215% to 400%. If we were to instead somehow redistribute all wealth in the world, half the population would gain an average of $19,000 to $38,000; the median individual would see their wealth increase by 450% to 900%.

Of course, we can’t literally redistribute all the wealth in the world. Even if we could somehow organize it logistically—a tall order to be sure—such a program would introduce all sorts of inefficiencies and perverse incentives. That would really be socialism: We would be allocating wealth entirely based on a government policy and not at all by the market.

But suppose instead we decided to redistribute some portion of all this wealth. How about 10%? That seems like a small enough amount to avoid really catastrophic damage to the economy. Yes, there would be some inefficiencies introduced, but this could be done with some form of wealth taxes that wouldn’t require completely upending capitalism.

Suppose we did this just within the US. 10% of US wealth, redistributed among the whole population, would increase median wealth by between $20,000 and $30,000, or between 30% and 45%. That’s already a pretty big deal. And this is definitely feasible; the taxation infrastructure is all already in place. We could essentially buy the poorest half of the population a new car on the dime of the top half.

If instead we tried to do this worldwide, we would need to build the fiscal capacity first; the infrastructure to tax wealth effectively is not in place in most countries. But supposing we could do that, we could increase median wealth worldwide by between $2,000 and $4,000, or between 50% and 100%. Of course, this would mean that many of us in the US would lose a similar amount; but I think it’s still quite remarkable that we could as much as double the wealth of most of the world’s population by redistributing only 10% of the total wealth. That’s how much wealth inequality there is in the world.

Just how rich is rich?

PNRJ core principles, ethics, inequality, public policy , , , , , , , , , , , , , , , ,

May 26 JDN 2458630

I think if there is one single thing I would like more people to know about economics, it is the sheer magnitude of global inequality. Most people seem to have no idea just how rich some people are—and how poor so many others are. They have a vision in their head of what “rich” and “poor” are, and their “rich” is a low-level Wall Street trader making $400,000 a year (the kind of people Gordon Gekko mocks in the film), and “poor” is someone who lives under a bridge in New York City. (They’re both New Yorkers, I guess. New Yorkers seem to be the iconic Americans, which is honestly more representative than you might think—80% of Americans live in urban or suburban areas.)

If we take a global perspective, this is not what “rich” and “poor” truly mean.

In next week’s post I’ll talk about what “poor” means. It’s really appallingly bad. We have to leave the First World in order to find it; many people here are poor, but not that poor. It’s so bad that I think once you really understand it, it can’t but change your whole outlook on the world. But I’m saving that for next week.

This week, I’ll talk about what “rich” really means in today’s world. We needn’t leave the United States, for the top 3 and 6 of the top 10 richest people in the world live here. And they are all White men, by the way, though Carlos Slim and Amancio Ortega are at least Latino.

Going down the list of billionaires ranked by wealth, you have to get down to 15th place before encountering a woman, and it’s really worse than that, because Francoise Bettencourt (15), Alice Walton (17), Jacqueline Mars (33), Yang Huiyan (42), Susan Klatton (46), Laurena Powell-Jobs (54), Abigail Johnson (71), and Iris Fontbona (74) are all heirs. The richest living woman who didn’t simply inherit from her father or husband is actually Gina Rinehart, the 75th richest person in the world. (And note that, while also in some sense an heir, Queen Elizabeth is not on that list; in fact, she’s nowhere near the richest people in the world. She’s not in the top 500.)

You have to get to 20th place before encountering someone non-White (Ma Huateng), and all the way down to 65th before encountering someone not White or East Asian (the Hinduja brothers). Not one of the top 100 richest people is Black.

Just how rich are these people? Well, there’s a meme going around saying that Jeff Bezos could afford to buy every homeless person in the world a house at median market price and still, with just what’s left over, be a multi-billionaire among the top 100 richest people in the world.

And that meme is completely correct. The math checks out.

There are about 554,000 homeless people in the US at any given time.

The median sale price of a currently existing house in the US is about $253,000.

Multiply those two numbers together, and you get $140 billion.

And Jeff Bezos has net wealth of $157 billion.

This means that he would still have $17 billion left after buying all those houses. The 100th richest person in the world has $13 billion, so Jeff Bezos would still be higher than that.

Even $17 billion is enough to spend over $2 million every single day—over $20 per second—and never run out of money as long as the dividends keep paying out.

Jeff Bezos in fact made so much in dividends and capital gains this past quarter that he was taking in as much money as the median Amazon employee’s annual salary—which is more than what I make as a grad student, and only slightly less than the median US individual income—every nine seconds. Yes, you read that correctly: Nine (9) seconds. In the time it took you to read this paragraph, Jeff Bezos probably received more in capital gains than you will make this whole year. And if not (because you’re relatively rich or you read quickly), I’m sure he will have in the time it takes you to read this whole post.

When Mitt Romney ran for President, a great deal was made of his net wealth of over $250 million. This is indeed very rich, richer than anyone really needs or probably deserves. But compared to the world’s richest, this is pocket change. Jeff Bezos gets that much in dividends and capital gains every day. Bill Gates could give away that much every day for a year and still not run out of money. (He doesn’t quite give that much, but he does give a lot.)

I grew up in Ann Arbor, Michigan. Ann Arbor is a medium-sized city of about 120,000 people (230th in the US by population), and relatively well-off (median household income about 16% higher than the US median). Nevertheless, if Jeff Bezos wanted to, he could give every single person in Ann Arbor the equivalent of 30 years of their income—over a million dollars each—and still have enough money left to be among the world’s 100 richest people.

Or suppose instead that all the world’s 500 richest people decided to give away all the money they have above $1 billion—so they’d all still be billionaires, but only barely. That $8.7 trillion they have together, minus the $500 billion they’re keeping, would be $8.2 trillion. In fact, let’s say they keep a little more, just to make sure they all have the same ordering: Give each one an extra $1 million for each point they are in the ranking, so that Jeff Bezos would stay on top at $1 B + 500 ($0.001 B) = $1.5 billion, while Bill Gates in second place would have $1 million less, and so on. That would leave us with still over $8 trillion to give away.

How far could that $8 trillion go? Well, suppose we divided it evenly between all 328 million people in the United States. How much would each person receive? Oh, just about $24,000—basically my annual income.

Or suppose instead we spread it out over the entire world: Every single man, woman, and child on the planet Earth gets an equal share. There are 7.7 billion people in the world, so by spreading out $8 trillion between them, each one would get over $1000. For you or I that’s a big enough windfall to feel. For the world’s poorest people, it’s more than they make in several years. It would be life-changing for them. (Actually that’s about what GiveDirectly gives each family—and it is life-changing.)

And let me remind you: This would be leaving them billionaires. They’re just not as much billionaires as before—they only have $1 billion instead of $20 billion or $50 billion or $100 billion. And even $1 billion is obviously enough to live however you want, wherever you want, for the rest of your life, never working another day if you don’t want to. With $1 billion, you can fly in jets (a good one will set you back $20 million), sail in yachts (even a massive 200-footer wouldn’t run much above $200 million), and eat filet mignon at every meal (in fact, at $25 per pound, you can serve it to yourself and a hundred of your friends without breaking a sweat). You can decorate your bedroom with original Jackson Pollock paintings (at $200 million, his most expensive painting is only 20% of your wealth) and bathe in bottles of Dom Perignon (at $400 per liter, a 200-liter bath would cost you about $80,000—even every day that’s only $30 million a year, or maybe half to a third of your capital income). Remember, this is all feasible at just $1 billion—and Jeff Bezos has over a hundred times that. There is no real lifestyle improvement that happens between $1 billion and $157 billion; it’s purely a matter of status and power.

Taking enough to make them mere millionaires would give us another $0.5 trillion to spend (about the GDP of Sweden, one-fourth the GDP of Canada, or 70% of the US military budget).

Do you think maybe these people have too much money?

I’m not saying that we should confiscate all private property. I’m not saying that we should collectivize all industry. I believe in free markets and private enterprise. People should be able to get rich by inventing things and starting businesses.

But should they be able to get that rich? So rich that one man could pay off every mortgage in a whole major city? So rich that the CEO of a company makes what his employees make in a year in less than a minute? So rich that 500 people—enough to fill a large lecture hall—own enough wealth that if it were spread out evenly they could give $1000 to every single person in the world?

If Jeff Bezos had $1.5 million, I’d say he absolutely earned it. Some high-level programmers at Amazon have that much, and they absolutely earned it. If he had $15 million, I’d think maybe he could deserve that, given his contribution to the world. If he had $150 million, I’d find it hard to believe that anyone could really deserve that much, but if it’s part of what we need to make capitalism work, I could live with that.

But Jeff Bezos doesn’t have $1.5 million. He doesn’t have $15 million. He doesn’t have $150 million. He doesn’t have $1.5 billion. He doesn’t even have $15 billion. He has $150 billion. He has over a thousand times the level of wealth at which I was already having to doubt whether any human being could possibly deserve so much money—and once it gets that big, it basically just keeps growing. A stock market crash might drop it down temporarily, but it would come back in a few years.

And it’s not like there’s nothing we could do to spread this wealth around. Some fairly simple changes in how we tax dividends and capital gains would be enough to get a lot of it, and a wealth tax like the one Elizabeth Warren has proposed would help a great deal as well. At the rates people have seriously proposed, these taxes would only really stop their wealth from growing; it wouldn’t meaningfully shrink it.

That could be combined with policy changes about compensation for corporate executives, particularly with regard to stock options, to make it harder to extract such a large proportion of a huge multinational corporation’s wealth into a single individual. We could impose a cap on the ratio between median employee salary (including the entire supply chain!) and total executive compensation (including dividends and capital gains!), say 100 to 1. (Making in 9 seconds what his employees make in a year, Jeff Bezos is currently operating at a ratio of over 3 million to 1.) If you exceed the cap, the remainder is taxed at 100%. This would mean that as a CEO you can still make $100 million a year, but only if your median employee makes $1 million. If your median employee makes $30,000, you’d better keep your own compensation under $3 million, because we’re gonna take the rest.

Is this socialism? I guess maybe it’s democratic socialism, the high-tax, high-spend #ScandinaviaIsBetter welfare state. But it would not be an end to free markets or free enterprise. We’re not collectivizing any industries, let alone putting anyone in guillotines. You could still start a business and make millions or even hundreds of millions of dollars; you’d simply be expected to share that wealth with your employees and our society as a whole, instead of hoarding it all for yourself.