public policy

How we sold our privacy piecemeal

PNRJ cognitive science, heuristics and biases, market failure, public policy, Uncategorized , , , , , , , , , ,

Apr 2, JDN 2457846

The US Senate just narrowly voted to remove restrictions on the sale of user information by Internet Service Providers. Right now, your ISP can basically sell your information to whomever they like without even telling you. The new rule that the Senate struck down would have required them to at least make you sign a form with some fine print on it, which you probably would sign without reading it. So in practical terms maybe it makes no difference.

…or does it? Maybe that’s really the mistake we’ve been making all along.

In cognitive science we have a concept called the just-noticeable difference (JND); it is basically what it sounds like. If you have two stimuli—two colors, say, or sounds of two different pitches—that differ by an amount smaller than the JND, people will not notice it. But if they differ by more than the JND, people will notice. (In practice it’s a bit more complicated than that, as different people have different JND thresholds and even within a person they can vary from case to case based on attention or other factors. But there’s usually a relatively narrow range of JND values, such that anything below that is noticed by no one and anything above that is noticed by almost everyone.)

The JND seems like an intuitively obvious concept—of course you can’t tell the difference between a color of 432.78 nanometers and 432.79 nanometers!—but it actually has profound implications. In particular it undermines the possibility of having truly transitive preferences. If you prefer some colors to others—which most of us do—but you have a nonzero JND in color wavelengths—as we all do—then I can do the following: Find one color you like (for concreteness, say you like blue of 475 nm), and another color you don’t (say green of 510 nm). Let you choose between the blue you like and another blue, 475.01 nm. Will you prefer one to the other? Of course not, the difference is within your JND. So now compare 475.01 nm and 475.02 nm; which do you prefer? Again, you’re indifferent. And I can go on and on this way a few thousand times, until finally I get to 510 nanometers, the green you didn’t like. I have just found a chain of your preferences that is intransitive; you said A = B = C = D… all the way down the line to X = Y = Z… but then at the end you said A > Z. Your preferences aren’t transitive, and therefore aren’t well-defined rational preferences. And you could do the same to me, so neither are mine.

Part of the reason we’ve so willingly given up our privacy in the last generation or so is our paranoid fear of terrorism, which no doubt triggers deep instincts about tribal warfare. Depressingly, the plurality of Americans think that our government has not gone far enough in its obvious overreaches of the Constitution in the name of defending us from a threat that has killed fewer Americans in my lifetime than die from car accidents each month.

But that doesn’t explain why we—and I do mean we, for I am as guilty as most—have so willingly sold our relationships to Facebook and our schedules to Google. Google isn’t promising to save me from the threat of foreign fanatics; they’re merely offering me a more convenient way to plan my activities. Why, then, am I so cavalier about entrusting them with so much personal data?

 

Well, I didn’t start by giving them my whole life. I created an email account, which I used on occasion. I tried out their calendar app and used it to remind myself when my classes were. And so on, and so forth, until now Google knows almost as much about me as I know about myself.

At each step, it didn’t feel like I was doing anything of significance; perhaps indeed it was below my JND. Each bit of information I was giving didn’t seem important, and perhaps it wasn’t. But all together, our combined information allows Google to make enormous amounts of money without charging most of its users a cent.

The process goes something like this. Imagine someone offering you a penny in exchange for telling them how many times you made left turns last week. You’d probably take it, right? Who cares how many left turns you made last week? But then they offer another penny in exchange for telling them how many miles you drove on Tuesday. And another penny for telling them the average speed you drive during the afternoon. This process continues hundreds of times, until they’ve finally given you say $5.00—and they know exactly where you live, where you work, and where most of your friends live, because all that information was encoded in the list of driving patterns you gave them, piece by piece.

Consider instead how you’d react if someone had offered, “Tell me where you live and work and I’ll give you $5.00.” You’d be pretty suspicious, wouldn’t you? What are they going to do with that information? And $5.00 really isn’t very much money. Maybe there’s a price at which you’d part with that information to a random suspicious stranger—but it’s probably at least $50 or even more like $500, not $5.00. But by asking it in 500 different questions for a penny each, they can obtain that information from you at a bargain price.

If you work out how much money Facebook and Google make from each user, it’s actually pitiful. Facebook has been increasing their revenue lately, but it’s still less than $20 per user per year. The stranger asks, “Tell me who all your friends are, where you live, where you were born, where you work, and what your political views are, and I’ll give you $20.” Do you take that deal? Apparently, we do. Polls find that most Americans are willing to exchange privacy for valuable services, often quite cheaply.

 

Of course, there isn’t actually an alternative social network that doesn’t sell data and instead just charges a subscription fee. I don’t think this is a fundamentally unfeasible business model, but it hasn’t succeeded so far, and it will have an uphill battle for two reasons.

The first is the obvious one: It would have to compete with Facebook and Google, who already have the enormous advantage of a built-in user base of hundreds of millions of people.

The second one is what this post is about: The social network based on conventional economics rather than selling people’s privacy can’t take advantage of the JND.

I suppose they could try—charge $0.01 per month at first, then after awhile raise it to $0.02, $0.03 and so on until they’re charging $2.00 per month and actually making a profit—but that would be much harder to pull off, and it would provide the least revenue when it is needed most, at the early phase when the up-front costs of establishing a network are highest. Moreover, people would still feel that; it’s a good feature of our monetary system that you can’t break money into small enough denominations to really consistently hide under the JND. But information can be broken down into very tiny pieces indeed. Much of the revenue earned by these corporate giants is actually based upon indexing the keywords of the text we write; we literally sell off our privacy word by word.

 

What should we do about this? Honestly, I’m not sure. Facebook and Google do in fact provide valuable services, without which we would be worse off. I would be willing to pay them their $20 per year, if I could ensure that they’d stop selling my secrets to advertisers. But as long as their current business model keeps working, they have little incentive to change. There is in fact a huge industry of data brokering, corporations you’ve probably never heard of that make their revenue entirely from selling your secrets.

In a rare moment of actual journalism, TIME ran an article about a year ago arguing that we need new government policy to protect us from this kind of predation of our privacy. But they had little to offer in the way of concrete proposals.

The ACLU does better: They have specific proposals for regulations that should be made to protect our information from the most harmful prying eyes. But as we can see, the current administration has no particular interest in pursuing such policies—if anything they seem to do the opposite.

Tax plan possibilities

PNRJ core principles, current events, public policy , , , , , , , , , , , , , , , , , , ,

Mar 26, JDN 2457839

Recently President Trump (that phrase may never quite feel right) began presenting his new tax plan. To be honest, it’s not as ridiculous as I had imagined it might be. I mean, it’s still not very good, but it’s probably better than Reagan’s tax plan his last year in office, and it’s not nearly as absurd as the half-baked plan Trump originally proposed during the campaign.

But it got me thinking about the incredible untapped potential of our tax system—the things we could achieve as a nation, if we were willing to really commit to them and raise taxes accordingly.

A few years back I proposed a progressive tax system based upon logarithmic utility. I now have a catchy name for that tax proposal; I call it the logtax. It depends on two parameters—a poverty level, at which the tax rate goes to zero; and what I like to call a metarate—the fundamental rate that sets all the actual tax rates by the formula.

For the poverty level, I suggest we use the highest 2-household poverty level set by the Department of Health and Human Services: Because of Alaska’s high prices, that’s the Alaska poverty level, and the resulting figure is $20,290—let’s round to $20,000.

I would actually prefer to calculate taxes on an individual basis—I see no reason to incentivize particular household arrangements—but as current taxes are calculated on a household basis, I’m going to use that for now.

The metarate can be varied, and in the plans below I will compare different options for the metarate.

I will compare six different tax plans:

  1. Our existing tax plan, set under the Obama administration
  2. Trump’s proposed tax plan
  3. A flat rate of 30% with a basic income of $12,000, replacing welfare programs and Medicaid
  4. A flat rate of 40% with a basic income of $15,000, replacing welfare programs and Medicaid
  5. A logtax with a metarate of 20%, all spending intact
  6. A logtax with a metarate of 25% and a basic income of $12,000, replacing welfare programs and Medicaid
  7. A logtax with a metarate of 35% and a basic income of $15,000, cutting military spending by 50% and expanding Medicare to the entire population while eliminating Medicare payroll taxes

To do a proper comparison, I need estimates of the income distribution in the United States, in order to properly estimate the revenue from each type of tax. For that I used US Census data for most of the income data, supplementing with the World Top Incomes database for the very highest income brackets. The household data is broken up into brackets of $5,000 and only goes up to $250,000, so it’s a rough approximation to use the average household income for each bracket, but it’s all I’ve got.

The current brackets are 10%, 15%, 25%, 28%, 33%, 35%, and 39.6%. These are actually marginal rates, not average rates, which makes the calculation a lot more complicated. I did it properly though; for example, when you start paying the marginal rate of 28%, your average rate is really only 20.4%.

Worst of all, I used static scoring—that is, I ignored the Laffer Effect by which increasing taxes changes incentives and can change pre-tax incomes. To really do this analysis properly, one should use dynamic scoring, taking these effects into account—but proper dynamic scoring is an enormous undertaking, and this is a blog post, not my dissertation.

Still, I was able to get pretty close to the true figures. The actual federal budget shows total revenue net of payroll taxes to be $2.397 trillion, whereas I estimated $2.326 trillion; the true deficit is $608 billion and I estimated $682 billion.

Under Trump’s tax plan, almost all rates are cut. He also plans to remove some deductions, but all reports I could find on the plan were vague as to which ones, and with data this coarse it’s very hard to get any good figures on deduction amounts anyway. I also want to give him credit where it’s due: It was a lot easier to calculate the tax rates under Trump’s plan (but still harder than under mine…). But in general what I found was the following:

Almost everyone pays less income tax under Trump’s plan, by generally about 4-5% of their income. The poor benefit less or are slightly harmed; the rich benefit a bit more.

For example, a household in poverty making $12,300 would pay $1,384 currently, but $1,478 under Trump’s plan, losing $94 or 0.8% of their income. An average household making $52,000 would pay $8,768 currently but only $6,238 under Trump’s plan, saving $2,530 or about 4.8% of their income. A household making $152,000 would pay $35,580 currently but only $28,235 under Trump’s plan, saving $7,345 or again about 4.8%. A top 1% household making $781,000 would pay $265,625 currently, but only $230,158 under Trump’s plan, saving $35,467 or about 4.5%. A top 0.1% household making $2,037,000 would pay $762,656 currently, but only $644,350 under Trump’s plan, saving $118,306 or 5.8% of their income. A top 0.01% household making $9,936,000 would pay $3,890,736 currently, but only $3,251,083 under Trump’s plan, saving $639,653 or 6.4% of their income.

Because taxes are cut across the board, Trump’s plan would raise less revenue. My static scoring will exaggerate this effect, but only moderately; my estimate says we would lose over $470 billion in annual revenue, while the true figure might be $300 billion. In any case, Trump will definitely increase the deficit substantially unless he finds a way to cut an awful lot of spending elsewhere—and his pet $54 billion increase to the military isn’t helping in that regard. My estimate of the new deficit under Trump’s plan is $1.155 trillion—definitely not the sort of deficit you should be running during a peacetime economic expansion.

Let’s see what we might have done instead.

If we value simplicity and ease of calculation, it’s hard to beat a flat tax plus basic income. With a flat tax of 30% and a basic income of $12,000 per household, the poor do much better off because of the basic income, while the rich do a little better because of the flat tax, and the middle class feels about the same because the two effects largely cancel. Calculating your tax liability now couldn’t be easier; multiply your income by 3, remove a zero—that’s what you owe in taxes. And how much do you get in basic income? The same as everyone else, $12,000.

Using the same comparison households: The poor household making $12,300 would now receive $8,305—increasing their income by $9,689 or 78.8% relative to the current system. The middle-class household making $52,000 would pay $3,596, saving $5,172 or 10% of their income. The upper-middle-class household making $152,000 would now pay $33,582, saving only $1998 or 1.3% of their income. The top 1% household making $782,000 would pay $234,461, saving $31,164 or 4.0%. The top 0.1% household making $2,037,000 would pay $611,000, saving $151,656 or 7.4%. Finally, the top 0.01% household making $9,936,000 would pay $2,980,757, saving $910,000 or 9.1%.

Thus, like Trump’s plan, the tax cut almost across the board results in less revenue. However, because of the basic income, we can now justify cutting a lot of spending on social welfare programs. I estimated we could reasonably save about $630 billion by cutting Medicaid and other social welfare programs, while still not making poor people worse off because of the basic income. The resulting estimated deficit comes in at $1.085 trillion, which is still too large—but less than what Trump is proposing.

If I raise the flat rate to 40%—just as easy to calculate—I can bring that deficit down, even if I raise the basic income to $15,000 to compensate. The poverty household now receives $10,073, and the other representative households pay $5,974; $45,776; $297,615; $799,666; and $3,959,343 respectively. This means that the poor are again much better off, the middle class are about the same, and the rich are now substantially worse off. But what’s our deficit now? $180 billion—that’s about 1% of GDP, the sort of thing you can maintain indefinitely with a strong currency.

Can we do better than this? I think we can, with my logtax.

I confess that the logtax is not quite as easy to calculate as the flat tax. It does require taking exponents, and you can’t do it in your head. But it’s actually still easier than the current system, because there are no brackets to keep track of, no discontinuous shifts in the marginal rate. It is continuously progressive for all incomes, and the same formula can be used for all incomes from zero to infinity.
The simplest plan just replaces the income tax with a logtax of 20%. The poor household now receives $1,254, just from the automatic calculation of the tax—no basic income was added. The middle-class household pays $9,041, slightly more than what they are currently paying. Above that, people start paying more for sure: $50,655; $406,076; $1,228,795; and $7,065,274 respectively.

This system is obviously more progressive, but does it raise sufficient revenue? Why, as a matter of fact it removes the deficit entirely. The model estimates that the budget would now be at surplus of $110 billion. This is probably too optimistic; under dynamic scoring the distortions are probably going to cut the revenue a little. But it would almost certainly reduce the deficit, and very likely eliminate it altogether—without any changes in spending.

The next logtax plan adds a basic income of $12,000. To cover this, I raised the metarate to 25%. Now the poor household is receiving $11,413, the middle-class household is paying a mere $1,115, and the other households are paying $50,144; $458,140; $1,384,475; and $7,819,932 respectively. That top 0.01% household isn’t going to be happy, as they are now paying 78% of their income where in our current system they would pay only 39%. But their after-tax income is still over $2 million.

How does the budget look now? As with the flat tax plan, we can save about $630 billion by cutting redundant social welfare programs. So we are once again looking at a surplus, this time of about $63 billion. Again, the dynamic scoring might show some deficit, but definitely not a large one.

Finally, what if I raise the basic income to $15,000 and raise the metarate to 35%? The poor household now receives $14,186, while the median household pays $2,383. The richer households of course foot the bill, paying $64,180; $551,031; $1,618,703; and $8,790,124 respectively. Oh no, the top 0.01% household will have to make do with only $1.2 million; how will they survive!?

This raises enough revenue that it allows me to do some even more exciting things. With a $15,000 basic income, I can eliminate social welfare programs for sure. But then I can also cut military spending, say in half—still leaving us the largest military in the world. I can move funds around to give Medicare to every single American, an additional cost of about twice what we currently pay for Medicare. Then Medicaid doesn’t just get cut; it can be eliminated entirely, folded into Medicare. Assuming that the net effect on total spending is zero, the resulting deficit is estimated at only $168 billion, well within the range of what can be sustained indefinitely.

And really, that’s only the start. Once you consider all the savings on healthcare spending—an average of $4000 per person per year, if switching to single-payer brings us down to the average of other highly-developed countries. This is more than what the majority of the population would be paying in taxes under this plan—meaning that once you include the healthcare benefits, the majority of Americans would net receive money from the government. Compared to our current system, everyone making under about $80,000 would be better off. That is what we could be doing right now—free healthcare for everyone, a balanced budget (or close enough), and the majority of Americans receiving more from the government than they pay in taxes.

These results are summarized in the table below. (I also added several more rows of representative households—though still not all the brackets I used!) I’ve color-coded who would be paying less in tax in green and who would be more in tax in red under each plan, compared to our current system. This color-coding is overly generous to Trump’s plan and the 30% flat tax plan, because it doesn’t account for the increased government deficit (though I did color-code those as well, again relative to the current system). And yet, over 50% of households make less than $51,986, putting the poorest half of Americans in the green zone for every plan except Trump’s. For the last plan, I also color-coded those between $52,000 and $82,000 who would pay additional taxes, but less than they save on healthcare, thus net saving money in blue. Including those folks, we’re benefiting over 69% of Americans.

Household

pre-tax income

 Current tax system Trump’s tax plan Flat 30% tax with $12k basic income Flat 40% tax with $15k basic income Logtax 20% Logtax 25% with $12k basic income Logtax 35% with $15k basic income, single-payer healthcare
$1,080 $108 $130 -$11,676 -$14,568 -$856 -$12,121 -$15,173
$12,317 $1,384 $1,478 -$8,305 -$10,073 -$1,254 -$11,413 -$14,186
$22,162 $2,861 $2,659 -$5,351 -$6,135 $450 -$9,224 -$11,213
$32,058 $4,345 $3,847 -$2,383 -$2,177 $2,887 -$6,256 -$7,258
$51,986 $8,768 $6,238 $3,596 $5,794 $9,041 $1,115 $2,383
$77,023 $15,027 $9,506 $11,107 $15,809 $18,206 $11,995 $16,350
$81,966 $16,263 $10,742 $12,590 $17,786 $20,148 $14,292 $17,786
$97,161 $20,242 $14,540 $17,148 $23,864 $26,334 $21,594 $28,516
$101,921 $21,575 $15,730 $18,576 $27,875 $30,571 $23,947 $31,482
$151,940 $35,580 $28,235 $33,582 $45,776 $50,655 $50,144 $64,180
$781,538 $265,625 $230,158 $222,461 $297,615 $406,076 $458,140 $551,031
$2,036,666 $762,656 $644,350 $599,000 $799,666 $1,228,795 $1,384,475 $1,618,703
$9,935,858 $3,890,736 $3,251,083 $2,968,757 $3,959,343 $7,065,274 $7,819,932 $8,790,124
Change in federal spending $0 $0 -$630 billion -$630 billion $0 -$630 billion $0
Estimated federal surplus -$682 billion -$1,155 billion -$822 billion -$180 billion $110 billion $63 billion -$168 billion

Information theory proves that multiple-choice is stupid

PNRJ cognitive science, education, public policy , , , , , , , , , , , , , , ,

Mar 19, JDN 2457832

This post is a bit of a departure from my usual topics, but it’s something that has bothered me for a long time, and I think it fits broadly into the scope of uniting economics with the broader realm of human knowledge.

Multiple-choice questions are inherently and objectively poor methods of assessing learning.

Consider the following question, which is adapted from actual tests I have been required to administer and grade as a teaching assistant (that is, the style of question is the same; I’ve changed the details so that it wouldn’t be possible to just memorize the response—though in a moment I’ll get to why all this paranoia about students seeing test questions beforehand would also be defused if we stopped using multiple-choice):

The demand for apples follows the equation Q = 100 – 5 P.
The supply of apples follows the equation Q = 10 P.
If a tax of $2 per apple is imposed, what is the equilibrium price, quantity, tax revenue, consumer surplus, and producer surplus?

A. Price = $5, Quantity = 10, Tax revenue = $50, Consumer Surplus = $360, Producer Surplus = $100

B. Price = $6, Quantity = 20, Tax revenue = $40, Consumer Surplus = $200, Producer Surplus = $300

C. Price = $6, Quantity = 60, Tax revenue = $120, Consumer Surplus = $360, Producer Surplus = $300

D. Price = $5, Quantity = 60, Tax revenue = $120, Consumer Surplus = $280, Producer Surplus = $500

You could try solving this properly, setting supply equal to demand, adjusting for the tax, finding the equilibrium, and calculating the surplus, but don’t bother. If I were tutoring a student in preparing for this test, I’d tell them not to bother. You can get the right answer in only two steps, because of the multiple-choice format.

Step 1: Does tax revenue equal $2 times quantity? We said the tax was $2 per apple.
So that rules out everything except C and D. Welp, quantity must be 60 then.

Step 2: Is quantity 10 times price as the supply curve says? For C they are, for D they aren’t; guess it must be C then.

Now, to do that, you need to have at least a basic understanding of the economics underlying the question (How is tax revenue calculated? What does the supply curve equation mean?). But there’s an even easier technique you can use that doesn’t even require that; it’s called Answer Splicing.

Here’s how it works: You look for repeated values in the answer choices, and you choose the one that has the most repeated values. Prices $5 and $6 are repeated equally, so that’s not helpful (maybe the test designer planned at least that far). Quantity 60 is repeated, other quantities aren’t, so it’s probably that. Likewise with tax revenue $120. Consumer surplus $360 and Producer Surplus $300 are both repeated, so those are probably it. Oh, look, we’ve selected a unique answer choice C, the correct answer!

You could have done answer splicing even if the question were about 18th century German philosophy, or even if the question were written in Arabic or Japanese. In fact you even do it if it were written in a cipher, as long as the cipher was a consistent substitution cipher.

Could the question have been designed to better avoid answer splicing? Probably. But this is actually quite difficult to do, because there is a fundamental tradeoff between two types of “distractors” (as they are known in the test design industry). You want the answer choices to contain correct pieces and resemble the true answer, so that students who basically understand the question but make a mistake in the process still get it wrong. But you also want the answer choices to be distinct enough in a random enough pattern that answer splicing is unreliable. These two goals are inherently contradictory, and the result will always be a compromise between them. Professional test-designers usually lean pretty heavily against answer-splicing, which I think is probably optimal so far as it goes; but I’ve seen many a professor err too far on the side of similar choices and end up making answer splicing quite effective.

But of course, all of this could be completely avoided if I had just presented the question as an open-ended free-response. Then you’d actually have to write down the equations, show me some algebra solving them, and then interpret your results in a coherent way to answer the question I asked. What’s more, if you made a minor mistake somewhere (carried a minus sign over wrong, forgot to divide by 2 when calculating the area of the consumer surplus triangle), I can take off a few points for that error, rather than all the points just because you didn’t get the right answer. At the other extreme, if you just randomly guess, your odds of getting the right answer are miniscule, but even if you did—or copied from someone else—if you don’t show me the algebra you won’t get credit.

So the free-response question is telling me a lot more about what the student actually knows, in a much more reliable way, that is much harder to cheat or strategize against.

Moreover, this isn’t a matter of opinion. This is a theorem of information theory.

The information that is carried over a message channel can be quantitatively measured as its Shannon entropy. It is usually measured in bits, which you may already be familiar with as a unit of data storage and transmission rate in computers—and yes, those are all fundamentally the same thing. A proper formal treatment of information theory would be way too complicated for this blog, but the basic concepts are fairly straightforward: think in terms of how long a sequence of 1s and 0s it would take to convey the message. That is, roughly speaking, the Shannon entropy of that message.

How many bits are conveyed by a multiple-choice response with four choices? 2. Always. At maximum. No exceptions. It is fundamentally, provably, mathematically impossible to convey more than 2 bits of information via a channel that only has 4 possible states. Any multiple-choice response—any multiple-choice response—of four choices can be reduced to the sequence 00, 01, 10, 11.

True-false questions are a bit worse—literally, they convey 1 bit instead of 2. It’s possible to fully encode the entire response to a true-false question as simply 0 or 1.

For comparison, how many bits can I get from the free-response question? Well, in principle the answer to any mathematical question has the cardinality of the real numbers, which is infinite (in some sense beyond infinite, in fact—more infinite than mere “ordinary” infinity); but in reality you can only write down a small number of possible symbols on a page. I can’t actually write down the infinite diversity of numbers between 3.14159 and the true value of pi; in 10 digits or less, I can only (“only”) write down a few billion of them. So let’s suppose that handwritten text has about the same information density as typing, which in ASCII or Unicode has 8 bits—one byte—per character. If the response to this free-response question is 300 characters (note that this paragraph itself is over 800 characters), then the total number of bits conveyed is about 2400.

That is to say, one free-response question conveys six hundred times as much information as a multiple-choice question. Of course, a lot of that information is redundant; there are many possible correct ways to write the answer to a problem (if the answer is 1.5 you could say 3/2 or 6/4 or 1.500, etc.), and many problems have multiple valid approaches to them, and it’s often safe to skip certain steps of algebra when they are very basic, and so on. But it’s really not at all unrealistic to say that I am getting between 10 and 100 times as much useful information about a student from reading one free response than I would from one multiple-choice question.

Indeed, it’s actually a bigger difference than it appears, because when evaluating a student’s performance I’m not actually interested in the information density of the message itself; I’m interested in the product of that information density and its correlation with the true latent variable I’m trying to measure, namely the student’s actual understanding of the content. (A sequence of 500 random symbols would have a very high information density, but would be quite useless in evaluating a student!) Free-response questions aren’t just more information, they are also better information, because they are closer to the real-world problems we are training for, harder to cheat, harder to strategize, nearly impossible to guess, and provided detailed feedback about exactly what the student is struggling with (for instance, maybe they could solve the equilibrium just fine, but got hung up on calculating the consumer surplus).

As I alluded to earlier, free-response questions would also remove most of the danger of students seeing your tests beforehand. If they saw it beforehand, learned how to solve it, memorized the steps, and then were able to carry them out on the test… well, that’s actually pretty close to what you were trying to teach them. It would be better for them to learn a whole class of related problems and then be able to solve any problem from that broader class—but the first step in learning to solve a whole class of problems is in fact learning to solve one problem from that class. Just change a few details each year so that the questions aren’t identical, and you will find that any student who tried to “cheat” by seeing last year’s exam would inadvertently be studying properly for this year’s exam. And then perhaps we could stop making students literally sign nondisclosure agreements when they take college entrance exams. Listen to this Orwellian line from the SAT nondisclosure agreement:

Misconduct includes,but is not limited to:

•Taking any test questions or essay topics from the testing room, including through memorization, giving them to anyone else, or discussing them with anyone else through anymeans, including, but not limited to, email, text messages or the Internet

Including through memorization. You are not allowed to memorize SAT questions, because God forbid you actually learn something when we are here to make money off evaluating you.

Multiple-choice tests fail in another way as well; by definition they cannot possibly test generation or recall of knowledge, they can only test recognition. You don’t need to come up with an answer; you know for a fact that the correct answer must be in front of you, and all you need to do is recognize it. Recall and recognition are fundamentally different memory processes, and recall is both more difficult and more important.

Indeed, the real mystery here is why we use multiple-choice exams at all.
There are a few types of very basic questions where multiple-choice is forgivable, because there are just aren’t that many possible valid answers. If I ask whether demand for apples has increased, you can pretty much say “it increased”, “it decreased”, “it stayed the same”, or “it’s impossible to determine”. So a multiple-choice format isn’t losing too much in such a case. But most really interesting and meaningful questions aren’t going to work in this format.

I don’t think it’s even particularly controversial among educators that multiple-choice questions are awful. (Though I do recall an “educational training” seminar a few weeks back that was basically an apologia for multiple choice, claiming that it is totally possible to test “higher-order cognitive skills” using multiple-choice, for reals, believe me.) So why do we still keep using them?

Well, the obvious reason is grading time. The one thing multiple-choice does have over a true free response is that it can be graded efficiently and reliably by machines, which really does make a big difference when you have 300 students in a class. But there are a couple reasons why even this isn’t a sufficient argument.

First of all, why do we have classes that big? It’s absurd. At that point you should just email the students video lectures. You’ve already foreclosed any possibility of genuine student-teacher interaction, so why are you bothering with having an actual teacher? It seems to be that universities have tried to work out what is the absolute maximum rent they can extract by structuring a class so that it is just good enough that students won’t revolt against the tuition, but they can still spend as little as possible by hiring only one adjunct or lecturer when they should have been paying 10 professors.

And don’t tell me they can’t afford to spend more on faculty—first of all, supporting faculty is why you exist. If you can’t afford to spend enough providing the primary service that you exist as an institution to provide, then you don’t deserve to exist as an institution. Moreover, they clearly can afford it—they simply prefer to spend on hiring more and more administrators and raising the pay of athletic coaches. PhD comics visualized it quite well; the average pay for administrators is three times that of even tenured faculty, and athletic coaches make ten times as much as faculty. (And here I think the mean is the relevant figure, as the mean income is what can be redistributed. Firing one administrator making $300,000 does actually free up enough to hire three faculty making $100,000 or ten grad students making $30,000.)

But even supposing that the institutional incentives here are just too strong, and we will continue to have ludicrously-huge lecture classes into the foreseeable future, there are still alternatives to multiple-choice testing.

Ironically, the College Board appears to have stumbled upon one themselves! About half the SAT math exam is organized into a format where instead of bubbling in one circle to give your 2 bits of answer, you bubble in numbers and symbols corresponding to a more complicated mathematical answer, such as entering “3/4” as “0”, “3”, “/”, “4” or “1.28” as “1”, “.”, “2”, “8”. This could easily be generalized to things like “e^2” as “e”, “^”, “2” and “sin(3pi/2)” as “sin”, “3” “pi”, “/”, “2”. There are 12 possible symbols currently allowed by the SAT, and each response is up to 4 characters, so we have already increased our possible responses from 4 to over 20,000—which is to say from 2 bits to 14. If we generalize it to include symbols like “pi” and “e” and “sin”, and allow a few more characters per response, we could easily get it over 20 bits—10 times as much information as a multiple-choice question.

But we can do better still! Even if we insist upon automation, high-end text-recognition software (of the sort any university could surely afford) is now getting to the point where it could realistically recognize a properly-formatted algebraic formula, so you’d at least know if the student remembered the formula correctly. Sentences could be transcribed into typed text, checked for grammar, and sorted for keywords—which is not nearly as good as a proper reading by an expert professor, but is still orders of magnitude better than filling circle “C”. Eventually AI will make even more detailed grading possible, though at that point we may have AIs just taking over the whole process of teaching. (Leaving professors entirely for research, presumably. Not sure if this would be good or bad.)

Automation isn’t the only answer either. You could hire more graders and teaching assistants—say one for every 30 or 40 students instead of one for every 100 students. (And then the TAs might actually be able to get to know their students! What a concept!) You could give fewer tests, or shorter ones—because a small, reliable sample is actually better than a large, unreliable one. A bonus there would be reducing students’ feelings of test anxiety. You could give project-based assignments, which would still take a long time to grade, but would also be a lot more interesting and fulfilling for both the students and the graders.

Or, and perhaps this is the most radical answer of all: You could stop worrying so much about evaluating student performance.

I get it, you want to know whether students are doing well, both so that you can improve your teaching and so that you can rank the students and decide who deserves various awards and merits. But do you really need to be constantly evaluating everything that students do? Did it ever occur to you that perhaps that is why so many students suffer from anxiety—because they are literally being formally evaluated with long-term consequences every single day they go to school?

If we eased up on all this evaluation, I think the fear is that students would just detach entirely; all teachers know students who only seem to show up in class because they’re being graded on attendance. But there are a couple of reasons to think that maybe this fear isn’t so well-founded after all.

If you give up on constant evaluation, you can open up opportunities to make your classes a lot more creative and interesting—and even fun. You can make students want to come to class, because they get to engage in creative exploration and collaboration instead of memorizing what you drone on at them for hours on end. Most of the reason we don’t do creative, exploratory activities is simply that we don’t know how to evaluate them reliably—so what if we just stopped worrying about that?

Moreover, are those students who only show up for the grade really getting anything out of it anyway? Maybe it would be better if they didn’t show up—indeed, if they just dropped out of college entirely and did something else with their lives until they get their heads on straight. Maybe all this effort that we are currently expending trying to force students to learn who clearly don’t appreciate the value of learning could instead be spent enriching the students who do appreciate learning and came here to do as much of it as possible. Because, ultimately, you can lead a student to algebra, but you can’t make them think. (Let me be clear, I do not mean students with less innate ability or prior preparation; I mean students who aren’t interested in learning and are only showing up because they feel compelled to. I admire students with less innate ability who nonetheless succeed because they work their butts off, and wish I were quite so motivated myself.)
There’s a downside to that, of course. Compulsory education does actually seem to have significant benefits in making people into better citizens. Maybe if we let those students just leave college, they’d never come back, and they would squander their potential. Maybe we need to force them to show up until something clicks in their brains and they finally realize why we’re doing it. In fact, we’re really not forcing them; they could drop out in most cases and simply don’t, probably because their parents are forcing them. Maybe the signaling problem is too fundamental, and the only way we can get unmotivated students to accept not getting prestigious degrees is by going through this whole process of forcing them to show up for years and evaluating everything they do until we can formally justify ultimately failing them. (Of course, almost by construction, a student who does the absolute bare minimum to pass will pass.) But college admission is competitive, and I can’t shake this feeling there are thousands of students out there who got rejected from the school they most wanted to go to, the school they were really passionate about and willing to commit their lives to, because some other student got in ahead of them—and that other student is now sitting in the back of the room playing with an iPhone, grumbling about having to show up for class every day. What about that squandered potential? Perhaps competitive admission and compulsory attendance just don’t mix, and we should stop compelling students once they get their high school diploma.

Intellectual Property, revisited

PNRJ core principles, development economics, public policy , , , , , , , , , , ,

Mar 12, JDN 2457825

A few weeks ago I wrote a post laying out the burden of proof for intellectual property, but didn’t have time to get into the empirical question of whether our existing intellectual property system can meet this burden of proof.

First of all, I want to make a very sharp distinction between three types of regulations that are all called “intellectual property”.

First there are trademarks, which I have absolutely no quarrel with. Avoiding fraud and ensuring transparency are fundamental functions without which markets would unravel, and without trademarks these things would be much harder to accomplish. Trademarks allow a company to establish a brand identity that others cannot usurp; they ensure that when you buy Coca-Cola (R) it is really in fact the beverage you expect and not some counterfeit knockoff. (And if counterfeit Coke sounds silly, note that counterfeit honey and maple syrup are actually a major problem.) Yes, there should be limits on how much you can trademark—no one wants to live in a world where you feel Love ™ and open Screen Doors ™—but in fact our courts are already fairly good about only allowing corporations to trademark newly-coined words and proper names for their products.

Next there are copyrights, which I believe are currently too strong and often abused, but I do think should exist in some form (or perhaps copylefts instead). Authors should have at least certain basic rights over how their work can be used and published. If nothing else, proper attribution should always be required, as without that plagiarism becomes intolerably easy. And steps should be taken to ensure that if any people profit from its sale, the author is among them. I publish this blog under a by-sa copyleft, which essentially means that you can share it with whomever you like and even adapt its content into your own work, so long as you properly attribute it to me and you do not attempt to claim ownership over it. For scientific content, I think only a copyleft of this sort makes sense—the era of for-profit journals with paywalls must end, as it is holding back our civilization. But for artistic content (and I mean art in the broadest sense, including books, music, movies, plays, and video games), stronger regulations might well make sense. The question is whether our current system is actually too strong, or is protecting the wrong people—often it seems to protect the corporations that sell the content rather than the artists who created it.

Finally there are patents. Unlike copyright which applies to a specific work of art, patent is meant to apply to the underlying concept of a technology. Copyright (or rather the by-sa copyleft) protects the text of this article; you can’t post it on your own blog and claim you wrote it. But if I were to patent it somehow (generally, verbal arguments cannot be patented, fortunately), you wouldn’t even be able to paraphrase it. The trademark on a Samsung ™ TV just means that if I make a TV I can’t say I am Samsung, because I’m not. You wouldn’t copyright a TV, but the analogous process would be if I were to copy every single detail of the television and try to sell that precise duplicate. But the patents on that TV mean that if I take it apart, study each component, find a way to build them all from my own raw materials, even make them better, and build a new TV out of them that looks different and performs better—I would still be infringing on intellectual property. Patents grant an extremely strong notion of property rights, one which actually undermines a lot of other, more basic concepts of property. It’s my TV, why can’t I take it apart and copy the components? Well, as long as the patent holds, it’s not entirely my TV. Property rights this strong—that allow a corporation to have its cake of selling the TV but eat it too by owning the rights to all its components—require a much stronger justification.

Trademark protects a name, which is unproblematic. Copyright protects a work, which carries risks but is still probably necessary in many cases. But patent protects an idea—and we should ask ourselves whether that is really something it makes sense to do.

In previous posts I’ve laid out some of the basic philosophical arguments for why patents do not seem to support innovation and may actually undermine it. But in this post I want to do something more direct and quantitative: Empirically, what is the actual effect of copyrights and patents on innovation? Can we find a way to quantify the costs and benefits to our society of different modes of intellectual property?

Economists quantify things all the time, so I briefly combed the literature to see what sort of empirical studies had been done on the economic impact of copyrights and patents.

Patents definitely create barriers to scientific collaboration: Scientific articles with ideas that don’t get patented are about 10-20% more likely to be cited than scientific articles with ideas that are patented. (I would have expected a larger effect, but that’s still not trivial.)

A 1995 study found that creased patent protections do seem to be positively associated with more trade.

A 2009 study of Great Britain published in AER found it “puzzling” that stronger patents actually seem to reduce the rate of innovation domestically, while having no effect on foreign innovation—yet this is exactly what I would have predicted. Foreign innovations should be largely unaffected by UK patents, but stricter patent laws in the UK make it harder for most actual innovators, only benefiting a handful of corporations that aren’t even particularly innovative.

This 1996 study did find a positive effect of stronger patent laws on economic growth, but it was quite small and only statistically significant when using instrumental variables that they couldn’t be bothered to define except in an appendix. When your result hinges on the use of instrumental variables that you haven’t even clearly defined in the paper, something is very fishy. My guess is that they p-hacked the instruments until they got the result they wanted.

This other 1996 study is a great example of why economists need to listen to psychologists. It found a negative correlation between foreign direct investment and—wait for it—the number of companies that answered “yes” to a survey question, “Does country X have intellectual property protection too weak to allow you to transfer your newest or most effective technology to a wholly-owned subsidiarythere?” Oh, wow, you found a correlation between foreign direct investment and a question directly asking about foreign direct investment.

his 2004 study found a nonlinear relationship whereby increased economic development affects intellectual property rights, rather than the other way around. But I find their theoretical model quite odd, and the scatter plot that lies at the core of their empirical argument reminds me of Rexthor, the Dog-Bearer. “This relationship appears to be non-linear,” they say when pointing at a scatter plot that looks mostly like nothing and maybe like a monotonic increase.

This 1997 study found a positive correlation between intellectual property strength, R&D spending, and economic growth. The effect is weak, but the study looks basically sound. (Though I must say I’d never heard anyone use the words “significant at the 24% level” before. Normally one would say “nonsignificant” for that variable methinks. It’s okay for it not to be significant in some of your regressions, you know.)

This 1992 paper found that intellectual property harms poor countries and may or may not benefit rich countries, but it uses a really weird idiosyncratic theoretical model to get there. Frankly if I see the word “theorem” anywhere in your empirical paper, I get suspicious. No, it is not a theorem that “For economies in steady state the South loses from tighter intellectual property rights.” It may be true, but it does not follow from the fundamental axioms of mathematics.

This law paper is excellent; it focuses on the fact that intellectual property is a unique arrangement and a significant deviation from conventional property rights. It tracks the rise of legal arguments that erroneously equate intellectual property with real property, and makes the vital point that fully internalizing the positive externalities of technology was never the goal, and would in fact be horrible should it come to pass. We would all have to pay most of our income in royalties to the Newton and Faraday estates. So, I highly recommend reading it. But it doesn’t contain any empirical results on the economic effects of intellectual property.

This is the best paper I was able to find showing empirical effects of different intellectual property regimes; I really have no complaints about its econometrics. But it was limited to post-Soviet economies shortly after the fall of the USSR, which were rather unique circumstances. (Indeed, by studying only those countries, you’d probably conclude that free markets are harmful, because the shock of transition was so great.)

This 1999 paper is also quite good; using a natural experiment from a sudden shift in Japanese patent policy, they found almost no difference in actual R&D. The natural experiment design makes this particularly credible, but it’s difficult to generalize since it only covered Japan specifically.

This study focused in particular on copyrights and the film industry, and found a nonlinear effect: While having no copyright protection at all was harmful to the film industry, making the copyright protections too strong had a strangling effect on new filmmakers entering the industry. This would suggest that the optimal amount of copyright is moderate, which sounds reasonable to me.

This 2009 study did a much more detailed comparison of different copyright regimes, and was unable to find a meaningful pattern amidst the noise. Indeed, they found that the only variable that consistently predicted the number of new works of art was population—more people means more art, and nothing else seemed to matter. If this is correct, it’s quite damning to copyright; it would suggest that people make art for reasons fundamentally orthogonal to copyright, and copyright does almost nothing useful. (And I must say, if you talk to most artists, that tends to be their opinion on the matter!)

This 1996 paper found that stronger patents had no benefits for poor countries, but benefited rich countries quite a large amount: Increased patent protection was estimated to add as much as 0.7% annual GDP growth over the whole period. That’s a lot; if this is really true, stronger patents are almost certainly worth it. But then it becomes difficult to explain why more precise studies haven’t found effects anywhere near that large.

This paper was pretty interesting; they found a fat-tailed distribution of patents, where most firms have none, many have one or a few, and a handful of firms have a huge number of patents. This is also consistent with the distribution of firm revenue and profit—and I’d be surprised if I didn’t find a strong correlation between all three. But this really doesn’t tell us whether patents are contributing to innovation.
This paper found that the harmonization of global patents in the Uruguay Round did lead to gains from trade for most countries, but also transferred about $4.5 billion to the US from the rest of the world. Of course, that’s really not that large an amount when we’re talking about global policy over several years.

What does all that mean? I don’t know. It’s a mess. There just don’t seem to be any really compelling empirical studies on the economic impact of copyrights and patents. The preponderance of the evidence, such as it is, would seem to suggest that copyrights provide a benefit as long as they aren’t too strong, while patents provide a benefit but it is quite small and likely offset by the rent-seeking of the corporations that own them. The few studies that found really large effects (like 0.7% annual GDP growth) don’t seem very credible to me; if the effect were really that large, it shouldn’t be so ambiguous. 0.7% per year over 25 years is a GDP 20% larger. Over 50 years, GDP would be 42% larger. We would be able to see that.

Does this ambiguity mean we should do nothing, and wait until the data is better? I don’t think so. Remember, the burden of proof for intellectual property should be high. It’s a fundamentally bizarre notion of property, one which runs against most of our standard concepts of real property; it restricts our rights in very basic ways, making literally the majority of our population into criminals. Such a draconian policy requires a very strong justification, but such a justification does not appear to be forthcoming. If it could be supported, that 0.7% GDP growth might be enough; but it doesn’t seem to be replicable. A free society does not criminalize activities just in case it might be beneficial to do so—it only criminalizes activities that have demonstrable harm. And the harm of copyright and patent infringement simply isn’t demonstrable enough to justify its criminalization.

We don’t have to remove them outright, but we should substantially weaken copyright and patent laws. They should be short-term, they should provide very basic protection, and they should never be owned by corporations, always by individuals (corporations should be able to license them—but not own them). If we then observe a substantial reduction in innovation and economic output, then we can put them back. But I think that what defenders of intellectual property fear most is that if we tried this, it wouldn’t be so bad—and then the “doom and gloom” justification they’ve been relying on all this time would fall apart.

Caught between nepotism and credentialism

PNRJ market failure, public policy , , , , , , , , ,

Feb 19, JDN 2457804

One of the more legitimate criticisms out there of we “urban elites” is our credentialism—our tendency to decide a person’s value as an employee or even as a human being based solely upon their formal credentials. Randall Collins, an American sociologist, wrote a book called The Credential Society arguing that much of the class stratification in the United States is traceable to this credentialism—upper-middle-class White Anglo-Saxon Protestants go to the good high schools to get into the good colleges to get the good careers, and all along the way maintain subtle but significant barriers to keep everyone else out.

A related concern is that of credential inflation, where more and more people get a given credential (such as a high school diploma or a college degree), and it begins to lose value as a signal of status. It is often noted that a bachelor’s degree today “gets” you the same jobs that a high school diploma did two generations ago, and two generations hence you may need a master’s or even a PhD.

I consider this concern wildly overblown, however. First of all, they’re not actually the same jobs at all. Even our “menial” jobs of today require skills that most people didn’t have two generations ago—not simply those involving electronics and computers, but even quite basic literacy and numeracy. Yes, you could be a banker in the 1920s with a high school diploma, but plenty of bankers in the 1920s didn’t know algebra. What, you think they were arbitraging derivatives based on the Black-Scholes model?

The primary purpose of education should be to actually improve students’ abilities, not to signal their superior status. More people getting educated is good, not bad. If we really do need signals, we can devise better ones than making people pay tens of thousands of dollars in tuition and spending years taking classes. An expenditure of that magnitude should be accomplishing something, not just signaling. (And given the overwhelming positive correlation between a country’s educational attainment and its economic development, clearly education is actually accomplishing something.) Our higher educational standards have directly tied to higher technology and higher productivity. If indeed you need a PhD to be a janitor in 2050, it will be because in 2050 a “janitor” is actually the expert artificial intelligence engineer who commands an army of cleaning robots, not because credentials have “inflated”. Thinking that credentials “inflate” requires thinking that business managers must be very stupid, that they would exclude whole swaths of qualified candidates that they could pay less to do the same work. Only a complete moron would require a PhD to hire you for wielding a mop.

No, what concerns me is an over-emphasis on prestigious credentials over genuine competence. This is definitely a real issue in our society: Almost every US President went to an Ivy League university, yet several of them (George W. Bush, anyone?) clearly would not actually have been selected by such a university if their families had not been wealthy and well-connected. (Harvard’s application literally contains a question asking whether you are a “lineal or collateral descendant” of one of a handful of super-wealthy families.) Papers that contain errors so basic that I would probably get a failing grade as a grad student for them become internationally influential because they were written by famous economists with fancy degrees.

Ironically, it may be precisely because elite universities try not to give grades or special honors that so many of their students try so desperately to latch onto any bits of social status they can get their hands on. In this blog post, a former Yale law student comments on how, without grades or cum laude to define themselves, Yale students became fiercely competitive in the pettiest ways imaginable. Or it might just be a selection effect; to get into Yale you’ve probably got to be pretty competitive, so even if they don’t give out grades once you get there, you can take the student out of the honors track, but you can’t take the honors track out of the student.

But perhaps the biggest problem with credentialism is… I don’t see any viable alternatives!

We have to decide who is going to be hired for technical and professional positions somehow. It almost certainly can’t be everyone. And the most sensible way to do it would be to have a process people go through to get trained and evaluated on their skills in that profession—that is, a credential.

What else would we do? We could decide randomly, I suppose; well, good luck with that. Or we could try to pick people who don’t have qualifications (“anti-credentialism” I suppose), which would be systematically wrong. Or individual employers could hire individuals they know and trust on a personal level, which doesn’t seem quite so ridiculous—but we have a name for that too, and it’s nepotism.

Even anti-credentialism does exist, bafflingly enough. Many people voted for George W. Bush because they said he was “the kind of guy you can have a beer with”. That wasn’t true, of course; he was the spoiled child of a billionaire, a man who had never really worked a day in his life. But even if it had been true, so what? How is that a qualification to be the leader of the free world? And how many people voted for Trump precisely because he had no experience in government? This made sense to them somehow. (And, shockingly, he has no idea what he’s doing. Actually what is shocking is that he admits that.)

Nepotism of course happens all the time. In fact, nepotism is probably the default state for humans. The continual re-emergence of hereditary monarchy and feudalism around the world suggests that this is some sort of attractor state for human societies, that in the absence of strong institutional pressures toward some other system this is what people will generally settle into. And feudalism is nothing if not nepotistic; your position in life is almost entirely determined by your father’s position, and his father’s before that.

Formal credentials can put a stop to that. Of course, your ability to obtain the credential often depends upon your income and social status. But if you can get past those barriers and actually get the credential, you now have a way of pushing past at least some of the competitors who would have otherwise been hired on their family connections alone. The rise in college enrollments—and women actually now exceeding men in college enrollment rates—is one of the biggest reasons why the gender pay gap is rapidly closing among young workers. Nepotism and sexism that would otherwise have hired unqualified men is now overtaken by the superior credentials of qualified women.

Credentialism does still seem suboptimal… but from where I’m sitting, it seems like a second-best solution. We can’t actually observe people’s competence and ability directly, so we need credentials to provide an approximate measurement. We can certainly work to improve credentials—and for example, I am fiercely opposed to multiple-choice testing because it produces such meaningless credentials—but ultimately I don’t see any alternative to credentials.

Is intellectual property justified?

PNRJ ethics, market failure, public policy , , , , ,

Feb 12, JDN 2457797

I had hoped to make this week’s post more comprehensive, but as I’ve spent the last week suffering from viral bronchitis I think I will keep this one short and revisit the topic in a few weeks.

Intellectual property underlies an increasingly large proportion of the world’s economic activity, more so now than ever before. We don’t just patent machines anymore; we patent drugs, and software programs, and even plants. Compared to that, copyrights on books, music, and movies seem downright pedestrian.

Though surely not the only cause, this is almost certainly contributing to the winner-takes-all effect; if you own the patent to something important, you can appropriate a huge amount of wealth to yourself with very little effort.

Moreover, this is not something that happened automatically as a natural result of market forces or autonomous human behavior. This is a policy, one that requires large investments in surveillance and enforcement to maintain. Intellectual property is probably the single largest market intervention that our government makes, and it is in a very strange direction: With antitrust law, the government seeks to undermine monopolies; but with intellectual property, the government seeks to protect monopolies.

So it’s important to ask: What is the justification for intellectual property? Do we actually have a good reason for doing this?

The basic argument goes something like this:

Many intellectual endeavors, such as research, invention, and the creation of art, require a large up-front investment of resources to complete, but once completed it costs almost nothing to disseminate the results. There is a very large fixed cost that makes it difficult to create these goods at all, but once they exist, the marginal cost of producing more of them is minimal.

If we didn’t have any intellectual property, once someone created an invention or a work of art, someone else could simply copy it and sell it at a much lower price. If enough competition emerged to drive price down to marginal cost, the original creator of the good would not only not profit, but would actually take an enormous loss, as they paid that large fixed cost but none of their competitors did.

Thus, knowing that they will take a loss if they do, individuals will not create inventions or works of art in the first place. Without intellectual property, all research, invention, and art would grind to a halt.

 

That last sentence sounds terrible, right? What would we do without research, invention, or art? But then if you stop and think about it for a minute, it becomes clear that this can’t possibly be the outcome of eliminating intellectual property. Most societies throughout the history of human civilization have not had a system of intellectual property, and yet they have all had art, and most of them have had research and invention as well.

If intellectual property is to be defended, it can’t be because we would have none of these things without it—it must be that we would have less, and so much less that it offsets the obvious harms of concentrating so much wealth and power in a handful of individuals.

I had hoped to get into the empirical results of different intellectual property regimes, but due to my illness I’m going to save that for another day.

Instead I’m just going to try to articulate what the burden of proof here really needs to be.

First of all, showing that we spend a lot of money on patents contributes absolutely nothing useful to defending them. Yes, we all know patents are expensive. The question is whether they are worth it. To show that this is not a strawman, here’s an article by IP Watchdog that takes the fact that “a new study showing that academic patent licensing contributed more than $1 trillion to the U.S. economy over eighteen years” is some kind of knockdown argument in favor of patents. If you actually showed that this economic activity would not exist without patents, then that would be an argument for patents. But all this study actually does is shows that we spend that much on patents, which says nothing about whether this is a good use of resources. It’s like when people try to defend the F-35 boondoggle by saying “it supports thousands of jobs!”; well, yes, but what about the millions of jobs we could be supporting instead if we used that money for something more efficient? (And indeed, the evidence is quite clear that spending on the F-35 destroys more jobs than it creates.) So any serious of estimate of economic benefits of intellectual property must also come with an estimate of the economic cost of intellectual property, or it is just propaganda.
It’s not enough to show some non-negligible (much less “statistically significant”) increase in innovation as a result of intellectual property. The effect size is critical; the increase in innovation needs to be large enough that it justifies having world-spanning monopolies that concentrate the world’s wealth in the hands of a few individuals. Because we already know that intellectual property concentrates wealth; they are monopolies, and monopolies concentrate wealth. It’s not enough to show that there is a benefit; that benefit must be greater than the cost, and there must be no alternative methods that allow us to achieve a greater net benefit.
It’s also important to be clear what we mean by “innovation”; this can be a very difficult thing to measure. But in principle what we really want to know is whether we are supporting important innovation—whether we will get more Mona Lisas and more polio vaccines, not simply whether we will get more Twilight and more Viagra. And one of the key problems with intellectual property as a method of funding innovation is that there is only a vague link between the profits that can be extracted and the benefits of the innovation. (Though to be fair, this is actually a more general problem; it is literally a mathematical theorem that competitive markets only maximize utility if you value rich people more, in inverse proportion to their marginal utility of wealth.)

Innovation is certainly important. Indeed, it is no exaggeration to say that innovation is the foundation of economic development and civilization itself. Defenders of intellectual property often want you to stop the conversation there: “Innovation is important!” Don’t let them. It’s not enough to say that innovation is important; intellectual property must also be the best way of achieving that innovation.

Is it? Well, in a few weeks I’ll get back to what the data actually says on this. There is some evidence supporting intellectual property—but the case is a lot weaker than you have probably been led to believe.

The urban-rural divide runs deep

PNRJ cognitive science, public policy , , , , , , , , ,

Feb 5, JDN 2457790

Are urban people worth less than rural people?

That probably sounds like a ridiculous thing to ask; of course not, all people are worth the same (other things equal of course—philanthropists are worth more than serial murderers). But then, if you agree with that, you’re probably an urban person, as I’m sure most of my readers are (and as indeed most people in highly-developed countries are).

A disturbing number of rural people, however, honestly do seem to believe this. They think that our urban lifestyles (whatever they imagine those to be) devalue us as citizens and human beings.

That is the key subtext to understand in the terrifying phenomenon that is Donald Trump. Most of the people who voted for him can’t possibly have thought he was actually trustworthy, and many probably didn’t actually support his policies of bigotry and authoritarianism (though he was very popular among bigots and authoritarians). From speaking with family members and acquaintances who proudly voted for Trump, one thing came through very clearly: This was a gigantic middle finger pointed at cities. They didn’t even really want Trump; they just knew we didn’t, and so they voted for him out of spite as much as anything else. They also have really confused views about free trade, so some of them voted for him because he promised to bring back jobs lost to trade (that weren’t lost to trade, can’t be brought back, and shouldn’t be even if they could). Talk with a Trump voter for a few minutes, and sneers of “latte-sipping liberal” (I don’t even like coffee) and “coastal elite” (I moved here to get educated; I wasn’t born here) are sure to follow.

There has always been some conflict between rural and urban cultures, for as long as there have been urban cultures for rural cultures to be in conflict with. It is found not just in the US, but in most if not all countries around the world. It was relatively calm during the postwar boom in the 20th century, as incomes everywhere (or at least everywhere within highly-developed countries) were improving more or less in lockstep. But the 21st century has brought us much more unequal growth, concentrated on particular groups of people and particular industries. This has brought more resentment. And that divide, above all else, is what brought us Trump; the correlation between population density and voting behavior is enormous.

Of course, “urban” is sometimes a dog-whistle for “Black”; but sometimes I think it actually really means “urban”—and yet there’s still a lot of hatred embedded in it. Indeed, perhaps that’s why the dog-whistle works; a White man from a rural town can sneer at “urban” people and it’s not entirely clear whether he’s being racist or just being anti-urban.

The assumption that rural lifestyles are superior runs so deep in our culture that even in articles by urban people (like this one from the LA Times) supposedly reflecting about how to resolve this divide, there are long paeans to the world of “hard work” and “sacrifice” and “autonomy” of rural life, and mocking “urban elites” for their “disproportionate” (by which you can only mean almost proportionate) power over government.

Well, guess what? If you want to live in a rural area, go live in a rural area. Don’t pine for it. Don’t tell me how great farm life is. If you want to live on a farm, go live on a farm. I have nothing against it; we need farmers, after all. I just want you to shut up about how great it is, especially if you’re not going to actually do it. Pining for someone else’s lifestyle when you could easily take on that lifestyle if you really wanted it just shows that you think the grass is greener on the other side.

Because the truth is, farm living isn’t so great for most people. The world’s poorest people are almost all farmers. 70% of people below the UN poverty line live in rural areas, even as more and more of the world’s population moves into cities. If you use a broader poverty measure, as many as 85% of the world’s poor live in rural areas.

The kind of “autonomy” that means defending your home with a shotgun is normally what we would call anarchy—it’s a society that has no governance, no security. (Of course, in the US that’s pure illusion; crime rates in general are low and falling, and lower in rural areas than urban areas. But in some parts of the world, that anarchy is very real.) One of the central goals of global economic development is to get people away from subsistence farming into far more efficient manufacturing and service jobs.

At least in the US, farm life is a lot better than it used to be, now that agricultural technology has improved so that one farmer can now do the work of hundreds. Despite increased population and increased food consumption per person, the number of farmers in the US is now the smallest it has been since before the Civil War. The share of employment devoted to agriculture has fallen from over 80% in 1800 to under 2% today. Even just since the 1960s labor productivity of US farms has more than tripled.

But the reason that some 80% of Americans have chosen to live in cities—and yes, I can clearly say “chosen”, because cities are more expensive and therefore urban living is a voluntary activity. Most people who live in the city right now could move to the country if we really wanted to. We choose not to, because we know our life would be worse if we did.

Indeed, I dare say that a lot of the hatred of city-dwellers has got to be envy. Our (median) incomes are higher and our (mean) lifespans are longer. Fewer of our children are in poverty. Life is better here—we know it, and deep down, they know it too.

We also have better Internet access, unsurprisingly—though rural areas are only a few years behind, and the technology improves so rapidly that twice as many rural homes in the US have Internet access than urban homes did in 1998.

Now, a rational solution to this problem would be either to improve the lives of people in rural areas or else move everyone to urban areas—and both of those things have been happening, not only in the US but around the world. But in order to do that, you need to be willing to change things. You have to give up the illusion that farm life is some wonderful thing we should all be emulating, rather than the necessary toil that humanity was forced to go through for centuries until civilization could advance beyond it. You have to be willing to replace farmers with robots, so that people who would have been farmers can go do something better with their lives. You need to give up the illusion that there is something noble or honorable about hard labor on a farm—indeed, you need to give up the illusion that there is anything noble or honorable about hard work in general. Work is not a benefit; work is a cost. Work is what we do because we have to—and when we no longer have to do it, we should stop. Wanting to escape toil and suffering doesn’t make you lazy or selfish—it makes you rational.

We could surely be more welcoming—but cities are obviously more welcoming to newcomers than rural areas are. Our housing is too expensive, but that’s in part because so many people want to live here—supply hasn’t been able to keep up with demand.

I may seem to be presenting this issue as one-sided; don’t urban people devalue rural people too? Sometimes. Insults like “hick” and “yokel” and “redneck” do of course exist. But I’ve never heard anyone from a city seriously argue that people who live in rural areas should have votes that systematically count for less than those of people who live in cities—yet the reverse is literally what people are saying when they defend the Electoral College. If you honestly think that the Electoral College deserves to exist in anything like its present form, you must believe that some Americans are worth more than others, and the people who are worth more are almost all in rural areas while the people who are worth less are almost all in urban areas.

No, National Review, the Electoral College doesn’t “save” America from California’s imperial power; it gives imperial power to a handful of swing states. The only reason California would be more important than any other state is that more Americans live here. Indeed, a lot of Republicans in California are disenfranchised, because they know that their votes will never overcome the overwhelming Democratic majority for the state as a whole and the system is winner-takes-all. Indeed, about 30% of California votes Republican (well, not in the last election, because that was Trump—Orange County went Democrat for the first time in decades), so the number of disenfranchised Republicans alone in California is larger than the population of Michigan, which in turn is larger than the population of Wyoming, North Dakota, South Dakota, Montana, Nebraska, West Virginia, and Kansas combined. Indeed, there are more people in California than there are in Canada. So yeah, I’m thinking maybe we should get a lot of votes?

But it’s easy for you to drum up fear over “imperial rule” by California in particular, because we’re so liberal—and so urban, indeed an astonishing 95% urban, the most of any US state (or frankly probably any major regional entity on the planet Earth! To beat that you have to be something like Singapore, which literally just is a single city).

In fact, while insults thrown at urban people get thrown at basically all of us regardless of what we do, most of the insults that are thrown at rural people are mainly thrown at uneducated rural people. (And statistically, while many people in rural areas are educated and many people in urban areas are not, there’s definitely a positive correlation between urbanization and education.) It’s still unfair in many ways, not least because education isn’t entirely a choice, not in a society where tuition at an average private university costs more than the median individual income. Many of the people we mock as being stupid were really just born poor. It may not be their fault, but they can’t believe that the Earth is only 10,000 years old and not have some substantial failings in their education. I still don’t think mockery is the right answer; it’s really kicking them while they’re down. But clearly there is something wrong with our society when 40% of people believe something so obviously ludicrous—and those beliefs are very much concentrated in the same Southern states that have the most rural populations. “They think we’re ignorant just because we believe that God made the Earth 6,000 years ago!” I mean… yes? I’m gonna have to own up to that one, I guess. I do in fact think that people who believe things that were disproven centuries ago are ignorant.

So really this issue is one-sided. We who live in cities are being systematically degraded and disenfranchised, and when we challenge that system we are accused of being selfish or elitist or worse. We are told that our lifestyles are inferior and shameful, and when we speak out about the positive qualities of our lives—our education, our acceptance of diversity, our flexibility in the face of change—we are again accused of elitism and condescension.

We could simply stew in that resentment. But we can do better. We can reach out to people in rural areas, show them not just that our lives are better—as I said, they already know this—but that they can have these lives too. And we can make policy so that this really can happen for people. Envy doesn’t automatically lead to resentment; that only happens when combined with a lack of mobility. The way urban people pine for the countryside is baffling, since we could go there any time; but the way that country people long for the city is perfectly understandable, as our lives really are better but our rent is too high for them to afford. We need to bring that rent down, not just for the people already living in cities, but also for the people who want to but can’t.

And of course we don’t want to move everyone to cities, either. Many people won’t want to live in cities, and we need a certain population of farmers to make our food after all. We can work to improve infrastructure in rural areas—particularly when it comes to hospitals, which are a basic necessity that is increasingly underfunded. We shouldn’t stop using cost-effectiveness calculations, but we need to compare against the right things. If that hospital isn’t worth building, it should be because there’s another, better hospital we could make for the same amount or cheaper—not because we think that this town doesn’t deserve to have a hospital. We can expand our public transit systems over a wider area, and improve their transit speeds so that people can more easily travel to the city from further away.

We should seriously face up to the costs that free trade has imposed upon many rural areas. We can’t give up on free trade—but that doesn’t mean we need to keep our trade policy exactly as it is. We can do more to ensure that multinational corporations don’t have overwhelming bargaining power against workers and small businesses. We can establish a tax system that would redistribute more of the gains from free trade to the people and places most hurt by the transition. Right now, poor people in the US are often the most fiercely opposed to redistribution of wealth, because somehow they perceive that wealth will be redistributed from them when it would in fact be redistributed to them. They are in a scarcity mindset, their whole worldview shaped by the fact that they struggle to get by. They see every change as a threat, every stranger as an enemy.

Somehow we need to fight that mindset, get them to see that there are many positive changes that can be made, many things that we can achieve together that none of us could achieve along.

Why do so many Americans think that crime is increasing?

PNRJ cognitive science, public policy , , , , , ,

Jan 29, JDN 2457783

Since the 1990s, crime in United States has been decreasing, and yet in every poll since then most Americans report that they believe that crime is increasing.

It’s not a small decrease either. The US murder rate is down to the lowest it has been in a century. There are now a smaller absolute number (by 34 log points) of violent crimes per year in the US than there were 20 years ago, despite a significant increase in total population (19 log points—and the magic of log points is that, yes, the rate has decreased by precisely 53 log points).

It isn’t geographically uniform, of course; some states have improved much more than others, and a few states (such as New Mexico) have actually gotten worse.

The 1990s were a peak of violent crime, so one might say that we are just regressing to the mean. (Even that would be enough to make it baffling that people think crime is increasing.) But in fact overall crime in the US is now the lowest it has been since the 1970s, and still decreasing.

Indeed, this decrease has been underestimated, because we are now much better about reporting and investigating crimes than we used to be (which may also be part of why they are decreasing, come to think of it). If you compare against surveys of people who say they have been personally victimized, we’re looking at a decline in violent crime rates of two thirds—109 log points.

Just since 2008 violent crime has decreased by 26% (30 log points)—but of course we all know that Obama is “soft on crime” because he thinks cops shouldn’t be allowed to just shoot Black kids for no reason.

And yet, over 60% of Americans believe that overall crime in the US has increased in the last 10 years (though only 38% think it has increased in their own community!). These figures are actually down from 2010, when 66% thought crime was increasing nationally and 49% thought it was increasing in their local area.

The proportion of people who think crime is increasing does seem to decrease as crime rates decrease—but it still remains alarmingly high. If people were half as rational as most economists seem to believe, the proportion of people who think crime is increasing should drop to basically zero whenever crime rates decrease, since that’s a really basic fact about the world that you can just go look up on the Web in a couple of minutes. There’s no deep ambiguity, not even much “rational ignorance” given the low cost of getting correct answers. People just don’t bother to check, or don’t feel they need to.
What’s going on? How can crime fall to half what it was 20 years ago and yet almost two-thirds of people think it’s actually increasing?

Well, one hint is that news coverage of crime doesn’t follow the same pattern as actual crime.

News coverage in general is a terrible source of information, not simply because news organizations can be biased, make glaring mistakes, and sometimes outright lie—but actually for a much more fundamental reason: Even a perfect news channel, qua news channel, would report what is surprising—and what is surprising is, by definition, improbable. (Indeed, there is a formal mathematical concept in probability theory called surprisal that is simply the logarithm of 1 over the probability.) Even assuming that news coverage reports only the truth, the probability of seeing something on the news isn’t proportional to the probability of the event occurring—it’s more likely proportional to the entropy, which is probability times surprisal.

Now, if humans were optimal information processing engines, that would be just fine, actually; reporting events proportional to their entropy is actually a very efficient mechanism for delivering information (optimal, under certain types of constraints), provided that you can then process the information back into probabilities afterward.

But of course, humans aren’t optimal information processing engines. We don’t recompute the probabilities from the given entropy; instead we use the availability heuristic, by which we simply use the number of times we can think of something happening as our estimate of the probability of that event occurring. If you see more murders on TV news than you used you, you assume that murders must be more common than they used to be. (And when I put it like that, it really doesn’t sound so unreasonable, does it? Intuitively the availability heuristic seems to make sense—which is part of why it’s so insidious.)

Another likely reason for the discrepancy between perception and reality is nostalgia. People almost always have a more positive view of the past than it deserves, particularly when referring to their own childhoods. Indeed, I’m quite certain that a major reason why people think the world was much better when they were kids was that their parents didn’t tell them what was going on. And of course I’m fine with that; you don’t need to burden 4-year-olds with stories of war and poverty and terrorism. I just wish people would realize that they were being protected from the harsh reality of the world, instead of thinking that their little bubble of childhood innocence was a genuinely much safer world than the one we live in today.

Then take that nostalgia and combine it with the availability heuristic and the wall-to-wall TV news coverage of anything bad that happens—and almost nothing good that happens, certainly not if it’s actually important. I’ve seen bizarre fluff pieces about puppies, but never anything about how world hunger is plummeting or air quality is dramatically improved or cars are much safer. That’s the one thing I will say about financial news; at least they report it when unemployment is down and the stock market is up. (Though most Americans, especially most Republicans, still seem really confused on those points as well….) They will attribute it to anything from sunspots to the will of Neptune, but at least they do report good news when it happens. It’s no wonder that people are always convinced that the world is getting more dangerous even as it gets safer and safer.

The real question is what we do about it—how do we get people to understand even these basic facts about the world? I still believe in democracy, but when I see just how painfully ignorant so many people are of such basic facts, I understand why some people don’t. The point of democracy is to represent everyone’s interests—but we also end up representing everyone’s beliefs, and sometimes people’s beliefs just don’t line up with reality. The only way forward I can see is to find a way to make people’s beliefs better align with reality… but even that isn’t so much a strategy as an objective. What do I say to someone who thinks that crime is increasing, beyond showing them the FBI data that clearly indicates otherwise? When someone is willing to override all evidence with what they feel in their heart to be true, what are the rest of us supposed to do?

In defense of slacktivism

PNRJ cognitive science, ethics, public policy, Uncategorized , , , , , , , , ,

Jan 22, JDN 2457776

It’s one of those awkward portmanteaus that people often make to try to express a concept in fewer syllables, while also implicitly saying that the phenomenon is specific enough to deserve its own word: “Slacktivism”, made of “slacker” and “activism”, not unlike “mansplain” is made of “man” and “explain” or “edutainment” was made of “education” and “entertainment”—or indeed “gerrymander” was made of “Elbridge Gerry” and “salamander”. The term seems to be particularly popular on Huffington Post, which has a whole category on slacktivism. There is a particular subcategory of slacktivism that is ironically against other slacktivism, which has been dubbed “snarktivism”.

It’s almost always used as a pejorative; very few people self-identify as “slacktivists” (though once I get through this post, you may see why I’m considering it myself). “Slacktivism” is activism that “isn’t real” somehow, activism that “doesn’t count”.

Of course, that raises the question: What “counts” as legitimate activism? Is it only protest marches and sit-ins? Then very few people have ever been or will ever be activists. Surely donations should count, at least? Those have a direct, measurable impact. What about calling your Congressman, or letter-writing campaigns? These have been staples of activism for decades.
If the term “slacktivism” means anything at all, it seems to point to activities surrounding raising awareness, where the goal is not to enact a particular policy or support a particular NGO but to simply get as much public attention to a topic as possible. It seems to be particularly targeted at blogging and social media—and that’s important, for reasons I’ll get to shortly. If you gather a group of people in your community and give a speech about LGBT rights, you’re an activist. If you send out the exact same speech on Facebook, you’re a slacktivist.

One of the arguments against “slacktivism” is that it can be used to funnel resources at the wrong things; this blog post makes a good point that the Kony 2012 campaign doesn’t appear to have actually accomplished anything except profits for the filmmakers behind it. (Then again: A blog post against slacktivism? Are you sure you’re not doing right now the thing you think you are against?) But is this problem unique to slacktivism, or is it a more general phenomenon that people simply aren’t all that informed about how to have the most impact? There are an awful lot of inefficient charities out there, and in fact the most important waste of charitable funds involves people giving to their local churches. Fortunately, this is changing, as people become more secularized; churches used to account for over half of US donations, and now they only account for less than a third. (Naturally, Christian organizations are pulling out their hair over this.) The 60 million Americans who voted for Trump made a horrible mistake and will cause enormous global damage; but they weren’t slacktivists, were they?

Studies do suggest that traditionally “slacktivist” activities like Facebook likes aren’t a very strong predictor of future, larger actions, and more private modes of support (like donations and calling your Congressman) tend to be stronger predictors. But so what? In order for slacktivism to be a bad thing, they would have to be a negative predictor. They would have to substitute for more effective activism, and there’s no evidence that this happens.

In fact, there’s even some evidence that slacktivism has a positive effect (normally I wouldn’t cite Fox News, but I think in this case we should expect a bias in the opposite direction, and you can read the full Georgetown study if you want):

A study from Georgetown University in November entitled “Dynamics of Cause Engagement” looked how Americans learned about and interacted with causes and other social issues, and discovered some surprising findings on Slacktivism.

While the traditional forms of activism like donating money or volunteering far outpaces slacktivism, those who engage in social issues online are twice as likely as their traditional counterparts to volunteer and participate in events. In other words, slacktivists often graduate to full-blown activism.

At worst, most slacktivists are doing nothing for positive social change, and that’s what the vast majority of people have been doing for the entirety of human history. We can bemoan this fact, but that won’t change it. Most people are simply too uniformed to know what’s going on in the world, and too broke and too busy to do anything about it.

Indeed, slacktivism may be the one thing they can do—which is why I think it’s worth defending.

From an economist’s perspective, there’s something quite odd about how people’s objections to slacktivism are almost always formulated. The rational, sensible objection would be to their small benefits—this isn’t accomplishing enough, you should do something more effective. But in fact, almost all the objections to slacktivism I have ever read focus on their small costs—you’re not a “real activist” because you don’t make sacrifices like I do.

Yet it is a basic principle of economic rationality that, all other things equal, lower cost is better. Indeed, this is one of the few principles of economic rationality that I really do think is unassailable; perfect information is unrealistic and total selfishness makes no sense at all. But cost minimization is really very hard to argue with—why pay more, when you can pay less and get the same benefit?

From an economist’s perspective, the most important thing about an activity is its cost-effectiveness, measured either by net benefit—benefit minus cost—or rate of return—benefit divided by cost. But in both cases, a lower cost is always better; and in fact slacktivism has an astonishing rate of return, precisely because its cost is so small.

Suppose that a campaign of 10 million Facebook likes actually does have a 1% chance of changing a policy in a way that would save 10,000 lives, with a life expectancy of 50 years each. Surely this is conservative, right? I’m only giving it a 1% chance of success, on a policy with a relatively small impact (10,000 lives could be a single clause in an EPA regulatory standard), with a large number of slacktivist participants (10 million is more people than the entire population of Switzerland). Yet because clicking “like” and “share” only costs you maybe 10 seconds, we’re talking about an expected cost of (10 million)(10/86,400/365) = 0.32 QALY for an expected benefit of (10,000)(0.01)(50) = 5000 QALY. That is a rate of return of 1,500,000%—that’s 1.5 million percent.

Let’s compare this to the rate of return on donating to a top charity like UNICEF, Oxfam, the Against Malaria Foundation, or the Schistomoniasis Control Initiative, for which donating about $300 would save the life of 1 child, adding about 50 QALY. That $300 most likely cost you about 0.01 QALY (assuming an annual income of $30,000), so we’re looking at a return of 500,000%. Now, keep in mind that this is a huge rate of return, far beyond what you can ordinarily achieve, that donating $300 to UNICEF is probably one of the best things you could possibly be doing with that money—and yet slacktivism may still exceed it in efficiency. Maybe slacktivism doesn’t sound so bad after all?

Of course, the net benefit of your participation is higher in the case of donation; you yourself contribute 50 QALY instead of only contributing 0.0005 QALY. Ultimately net benefit is what matters; rate of return is a way of estimating what the net benefit would be when comparing different ways of spending the same amount of time or money. But from the figures I just calculated, it begins to seem like maybe the very best thing you could do with your time is clicking “like” and “share” on Facebook posts that will raise awareness of policies of global importance. Now, you have to include all that extra time spent poring through other Facebook posts, and consider that you may not be qualified to assess the most important issues, and there’s a lot of uncertainty involved in what sort of impact you yourself will have… but it’s almost certainly not the worst thing you could be doing with your time, and frankly running these numbers has made me feel a lot better about all the hours I have actually spent doing this sort of thing. It’s a small benefit, yes—but it’s an even smaller cost.

Indeed, the fact that so many people treat low cost as bad, when it is almost by definition good, and the fact that they also target their ire so heavily at blogging and social media, says to me that what they are really trying to accomplish here has nothing to do with actually helping people in the most efficient way possible.

Rather, it’s two things.

The obvious one is generational—it’s yet another chorus in the unending refrain that is “kids these days”. Facebook is new, therefore it is suspicious. Adults have been complaining about their descendants since time immemorial; some of the oldest written works we have are of ancient Babylonians complaining that their kids are lazy and selfish. Either human beings have been getting lazier and more selfish for thousands of years, or, you know, kids are always a bit more lazy and selfish than their parents or at least seem so from afar.

The one that’s more interesting for an economist is signaling. By complaining that other people aren’t paying enough cost for something, what you’re really doing is complaining that they aren’t signaling like you are. The costly signal has been made too cheap, so now it’s no good as a signal anymore.

“Anyone can click a button!” you say. Yes, and? Isn’t it wonderful that now anyone with a smartphone (and there are more people with access to smartphones than toilets, because #WeLiveInTheFuture) can contribute, at least in some small way, to improving the world? But if anyone can do it, then you can’t signal your status by doing it. If your goal was to make yourself look better, I can see why this would bother you; all these other people doing things that look just as good as what you do! How will you ever distinguish yourself from the riffraff now?

This is also likely what’s going on as people fret that “a college degree’s not worth anything anymore” because so many people are getting them now; well, as a signal, maybe not. But if it’s just a signal, why are we spending so much money on it? Surely we can find a more efficient way to rank people by their intellect. I thought it was supposed to be an education—in which case the meteoric rise in global college enrollments should be cause for celebration. (In reality of course a college degree can serve both roles, and it remains an open question among labor economists as to which effect is stronger and by how much. But the signaling role is almost pure waste from the perspective of social welfare; we should be trying to maximize the proportion of real value added.)

For this reason, I think I’m actually prepared to call myself a slacktivist. I aim for cost-effective awareness-raising; I want to spread the best ideas to the most people for the lowest cost. Why, would you prefer I waste more effort, to signal my own righteousness?

The real crisis in education is access, not debt

PNRJ current events, ethics, public policy , , , , , , , , , , , , , ,

Jan 8, JDN 2457762

A few weeks ago I tried to provide assurances that the “student debt crisis” is really not much of a crisis; there is a lot of debt, but it is being spent on a very good investment both for individuals and for society. Student debt is not that large in the scheme of things, and it more than pays for itself in the long run.

But this does not mean we are not in the midst of an education crisis. It’s simply not about debt.

The crisis I’m worried about involves access.

As you may recall, there are a substantial number of people with very small amounts of student debt, and they tend to be the most likely to default. The highest default rates are among the group of people with student debt greater than $0 but less than $5000.

So how is it that there are people with only $5,000 in student debt anyway? You can’t buy much college for $5,000 these days, as tuition prices have risen at an enormous rate: From 1983 to 2013, in inflation-adjusted dollars, average annual tuition rose from $7,286 at public institutions and $17,333 at private institutions to $15,640 at public institutions and $35,987 at private institutions—more than doubling in each case.

Enrollments are much higher, but this by itself should not raise tuition per student. So where is all the extra money going? Some of it is due to increases in public funding that have failed to keep up with higher enrollments; but a lot of it just seems to be going to higher pay for administrators and athletic coaches. This is definitely a problem; students should not be forced to subsidize the millions of dollars most universities lose on funding athletics—the NCAA, who if anything are surely biased in favor of athletics, found that the total net loss due to athletics spending at FBS universities was $17 million per year. Only a handful of schools actually turn a profit on athletics, all of them Division I. So it might be fair to speak of an “irresponsible college administration crisis”, administrators who heap wealth upon themselves and their beloved athletic programs while students struggle to pay their bills, or even a “college tuition crisis” where tuition keeps rising far beyond what is sustainable. But that’s not the same thing as a “student debt crisis”—just as the mortgage crisis we had in 2008 is distinct from the slow-burning housing price crisis we’ve been in since the 1980s. Making restrictions on mortgages tighter might prevent banks from being as predatory as they have been lately, but it won’t suddenly allow people to better afford houses.

And likewise, I’m much more worried about students who don’t go to college because they are afraid of this so-called “debt crisis”; they’re going to end up much worse off. As Eduardo Porter put it in the New York Times:

And yet Mr. Beltrán says he probably wouldn’t have gone to college full time if he hadn’t received a Pell grant and financial aid from New York State to defray the costs. He has also heard too many stories about people struggling under an unbearable burden of student loans to even consider going into debt. “Honestly, I don’t think I would have gone,” he said. “I couldn’t have done four years.”

And that would have been the wrong decision.

His reasoning is not unusual. The rising cost of college looms like an insurmountable obstacle for many low-income Americans hoping to get a higher education. The notion of a college education becoming a financial albatross around the neck of the nation’s youth is a growing meme across the culture. Some education experts now advise high school graduates that a college education may not be such a good investment after all. “Sticker price matters a lot,” said Lawrence Katz, a professor of Harvard University. “It is a deterrent.”

 

[…]

 

And the most perplexing part of this accounting is that regardless of cost, getting a degree is the best financial decision a young American can make.

According to the O.E.C.D.’s report, a college degree is worth $365,000 for the average American man after subtracting all its direct and indirect costs over a lifetime. For women — who still tend to earn less than men — it’s worth $185,000.

College graduates have higher employment rates and make more money. According to the O.E.C.D., a typical graduate from a four-year college earns 84 percent more than a high school graduate. A graduate from a community college makes 16 percent more.

A college education is more profitable in the United States than in pretty much every other advanced nation. Only Irish women get more for the investment: $185,960 net.

So, these students who have $5,000 or less in student debt; what does that mean? That amount couldn’t even pay for a single year at most universities, so how did that happen?

Well, they almost certainly went to community college; only a community college could provide you with a nontrivial amount of education for less than $5,000. But community colleges vary tremendously in their quality, and some have truly terrible matriculation rates. While most students who start at a four-year school do eventually get a bachelor’s degree (57% at public schools, 78% at private schools), only 17% of students who start at community college do. And once students drop out, they very rarely actually return to complete a degree.

Indeed, the only way to really have that little student debt is to drop out quickly. Most students who drop out do so chiefly for reasons that really aren’t all that surprising: Mostly, they can’t afford to pay their bills. “Unable to balance school and work” is the number 1 reported reason why students drop out of college.

In the American system, student loans are only designed to pay the direct expenses of education; they often don’t cover the real costs of housing, food, transportation and healthcare, and even when they do, they basically never cover the opportunity cost of education—the money you could be making if you were working full-time instead of going to college. For many poor students, simply breaking even on their own expenses isn’t good enough; they have families that need to be taken care of, and that means working full-time. Many of them even need to provide for their parents or grandparents who may be poor or disabled. Yet in the US system it is tacitly assumed that your parents will help you—so when you need to help them, what are you supposed to do? You give up on college and you get a job.

The most successful reforms for solving this problem have been comprehensive; they involved working to support students directly and intensively in all aspects of their lives, not just the direct financial costs of school itself.

Another option would be to do something more like what they do in Sweden, where there is also a lot of student debt, but for a very different reason. The direct cost of college is paid automatically by the government. Yet essentially all Swedish students have student debt, and total student debt in Sweden is much larger than other European countries and comparable to the United States; why? Because Sweden understands that you should also provide for the opportunity cost. In Sweden, students live fully self-sufficient on student loans, just as if they were working full-time. They are not expected to be supported by their parents.

The problem with American student loans, then, is not that they are too large—but that they are too small. They don’t provide for what students actually need, and thus don’t allow them to make the large investment in their education that would have paid off in the long run. Panic over student loans being too large could make the problem worse, if it causes us to reduce the amount of loanable funds available for students.

The lack of support for poor students isn’t the only problem. There are also huge barriers to education in the US based upon race. While Asian students do as well (if not better) than White students, Black and Latino students have substantially lower levels of educational attainment. Affirmative action programs can reduce these disparities, but they are unpopular and widely regarded as unfair, and not entirely without reason.

A better option—indeed one that should be a no-brainer in my opinion—is not to create counter-biases in favor of Black and Latino students (which is what affirmative action is), but to eliminate biases in favor of White students that we know exist. Chief among these are so-called “legacy admissions”, in which elite universities attract wealthy alumni donors by granting their children admission and funding regardless of whether they even remotely deserve it or would contribute anything academically to the university.

These “legacy admissions” are frankly un-American. They go against everything our nation supposedly stands for; in fact, they reek of feudalism. And unsurprisingly, they bias heavily in favor of White students—indeed, over 90 percent of legacy admits are White and Protestant. Athletic admissions are also contrary to the stated mission of the university, though their racial biases are more complicated (Black students are highly overrepresented in football and basketball admits, for example) and it is at least not inherently un-American to select students based upon their athletic talent as opposed to their academic talent.

But this by itself would not be enough; the gaps are clearly too large to close that way. Getting into college is only the start, and graduation rates are much worse for Black students than White students. Moreover, the education gap begins well before college—high school dropout rates are much higher among Black and Latino studentsas well.

In fact, even closing the education gap by itself would not be enough; racial biases permeate our whole society. Black individuals with college degrees are substantially more likely to be unemployed and have substantially lower wages on average than White individuals with college degrees—indeed, a bachelor’s degree gets a Black man a lower mean wage than a White man would get with only an associate’s degree.

Fortunately, the barriers against women in college education have largely been conquered. In fact, there are now more women in US undergraduate institutions than men. This is not to say that there are not barriers against women in society at large; women still make about 75% as much income as men on average, and even once you adjust for factors such as education and career choice they still only make about 95% as much. Moreover, these factors we’re controlling for are endogenous. Women don’t choose their careers in a vacuum, they choose them based upon a variety of social and cultural pressures. The fact that 93% of auto mechanics are men and 79% of clerical workers are women might reflect innate differences in preferences—but it could just as well reflect a variety of cultural biases or even outright discrimination. Quite likely, it’s some combination of these. So it is not obvious to me that the “adjusted” wage gap is actually a more accurate reflection of the treatment of women in our society than the “unadjusted” wage gap; the true level of bias is most likely somewhere in between the two figures.

Gender wage gaps vary substantially across age groups and between even quite similar countries: Middle-aged women in Germany make 28% less than middle-aged men, while in France that gap is only 19%. Young women in Latvia make 14% less than young men, but in Romania they make 1.1% more. This variation clearly shows that this is not purely the effect of some innate genetic difference in skills or preferences; it must be at least in large part the product of cultural pressures or policy choices.

Even within academia, women are less likely to be hired full-time instead of part-time, awarded tenure, or promoted to administrative positions. Moreover, this must be active discrimination in some form, because gaps in hiring and wage offers between men and women persist in randomized controlled experiments. You can literally present the exact same resume and get a different result depending on whether you attached a male name or a female name.

But at least when it comes to the particular question of getting bachelor’s degrees, we have achieved something approaching equality across gender, and that is no minor accomplishment. Most countries in the world still have more men than women graduating from college, and in some countries the difference is terrifyingly large. I found from World Bank data that in the Democratic Republic of Congo, only 3% of men go to college—and less than 1% of women do. Even in Germany, 29% of men graduate from college but only 19% of women do. Getting both of these figures over 30% and actually having women higher than men is a substantial achievement for which the United States should be proud.

Yet it still remains the case that Americans who are poor, Black, Native American, or Latino are substantially less likely to ever make it through college. Panic about student debt might well be making this problem worse, as someone whose family makes $15,000 per year is bound to hear $50,000 in debt as an overwhelming burden, even as you try to explain that it will eventually pay for itself seven times over.

We need to instead be talking about the barriers that are keeping people from attending college, and pressuring them to drop out once they do. Debt is not the problem. Even tuition is not really the problem. Access is the problem. College is an astonishingly good investment—but most people never get the chance to make it. That is what we need to change.