When are we going to get serious about climate change?

Oct 8, JDN 24578035

Those two storms weren’t simply natural phenomena. We had a hand in creating them.

The EPA doesn’t want to talk about the connection, and we don’t have enough statistical power to really be certain, but there is by now an overwhelming scientific consensus that global climate change will increase hurricane intensity. The only real question left is whether it is already doing so.

The good news is that global carbon emissions are no longer rising. They have been essentially static for the last few years. The bad news is that this is almost certainly too little, too late.

The US is not on track to hit our 2025 emission target; we will probably exceed it by at least 20%.

But the real problem is that the targets themselves are much too high. Most countries have pledged to drop emissions only about 8-10% below their 1990s levels.

Even with the progress we have made, we are on track to exceed the global carbon budget needed to keep warming below 2 C by the year 2040. We have been reducing emission intensity by about 0.8% per year—we need to be reducing it by at least 3% per year and preferably faster. Highly-developed nations should be switching to nuclear energy as quickly as possible; an equitable global emission target requires us to reduce our emissions by 80% by 2050.

At the current rate of improvement, we will overshoot the 2 C warming target and very likely the 3C target as well.

Why aren’t we doing better? There is of course the Tragedy of the Commons to consider: Each individual country acting in its own self-interest will continue to pollute more, as this is the cheapest and easiest way to maintain industrial development. But then if all countries do so, the result is a disaster for us all.
But this explanation is too simple. We have managed to achieve some international cooperation on this issue. The Kyoto protocol has worked; emissions among Kyoto member nations have been reduced by more than 20% below 1990 levels, far more than originally promised. The EU in particular has taken a leadership role in reducing emissions, and has a serious shot at hitting their target of 40% reduction by 2030.

That is a truly astonishing scale of cooperation; the EU has a population of over 500 million people and spans 28 nations. It would seem like doing that should get us halfway to cooperating across all nations and all the world’s people.

But there is a vital difference between the EU and the world as a whole: The tribal paradigm. Europeans certainly have their differences: The UK and France still don’t really get along, everyone’s bitter with Germany about that whole Hitler business, and as the acronym PIIGS emphasizes, the peripheral countries have never quite felt as European as the core Schengen members. But despite all this, there has been a basic sense of trans-national (meta-national?) unity among Europeans for a long time.
For one thing, today Europeans see each other as the same race. That wasn’t always the case. In Medieval times, ethnic categories were as fine as “Cornish” and “Liverpudlian”. (To be fair, there do still exist a handful of Cornish nationalists.) Starting around the 18th cenutry, Europeans began to unite under the heading of “White people”, a classification that took on particular significance during the trans-Atlantic slave trade. But even in the 19th century, “Irish” and “Sicilian” were seen as racial categories. It wasn’t until the 20th century that Europeans really began to think of themselves as one “kind of people”, and not coincidentally it was at the end of the 20th century that the European Union finally took hold.

There is another region that has had a similar sense of unification: Latin America. Again, there are conflicts: There are a lot of nasty stereotypes about Puerto Ricans among Cubans and vice-versa. But Latinos, by and large, think of each other as the same “kind of people”, distinct from both Europeans and the indigenous population of the Americas.

I don’t think it is coincidental that the lowest carbon emission intensity (carbon emissions / GDP PPP) in the world is in Latin America, followed closely by Europe.
And if you had to name right now the most ethnically divided region in the world, what would you say? The Middle East, of course. And sure enough, they have the worst carbon emission intensity. (Of course, oil is an obvious confounding variable here, likely contributing to both.)

Indeed, the countries with the lowest ethnic fractionalization ratings tend to be in Europe and Latin America, and the highest tend to be in the Middle East and Africa.

Even within the United States, political polarization seems to come with higher carbon emissions. When we think of Democrats and Republicans as different “kinds of people”, we become less willing to cooperate on finding climate policy solutions.

This is not a complete explanation, of course. China has a low fractionalization rating but a high carbon intensity, and extremely high overall carbon emissions due to their enormous population. Africa’s carbon intensity isn’t as high as you’d think just from their terrible fractionalization, especially if you exclude Nigeria which is a major oil producer.

But I think there is nonetheless a vital truth here: One of the central barriers to serious long-term solutions to climate change is the entrenchment of racial and national identity. Solving the Tragedy of the Commons requires cooperation, we will only cooperate with those we trust, and we will only trust those we consider to be the same “kind of people”.

You can even hear it in the rhetoric: If “we” (Americans) give up our carbon emissions, then “they” (China) will take advantage of us. No one seems to worry about Alabama exploiting California—certainly no Republican would—despite the fact that in real economic terms they basically do. But people in Alabama are Americans; in other words, they count as actual people. People in China don’t count. If anything, people in California are supposed to be considered less American than people in Alabama, despite the fact that vastly more Americans live in California than Alabama. This mirrors the same pattern where we urban residents are somehow “less authentic” even though we outnumber the rural by four to one.
I don’t know how to mend this tribal division; I very much wish I did. But I do know that simply ignoring it isn’t going to work. We can talk all we want about carbon taxes and cap-and-trade, but as long as most of the world’s people are divided into racial, ethnic, and national identities that they consider to be in zero-sum conflict with one another, we are never going to achieve the level of cooperation necessary for a real permanent solution to climate change.

The temperatures and the oceans rise. United we must stand, or divided we shall fall.

A tale of two storms

Sep 24, JDN 2458021

There were two severe storm events this past week; one you probably heard a great deal about, the other, probably not. The first was Hurricane Irma, which hit the United States and did most of its damage in Florida; the second was Typhoon Doksuri, which hit Southeast Asia and did most of its damage in Vietnam.

You might expect that this post is going to give you more bad news. Well, I have a surprise for you: The news is actually mostly good.

The death tolls from both storms were astonishingly small. The hurricane is estimated to have killed at least 84 people, while the typhoon has killed at least 26. This result is nothing less than heroism. The valiant efforts of thousands of meteorologists and emergency responders around the world has saved thousands of lives, and did so both in the wealthy United States and in impoverished Vietnam.

When I started this post, I had expected to see that the emergency response in Vietnam would be much worse, and fatalities would be far higher; I am delighted to report that nothing of the sort was the case, and Vietnam, despite their per-capita GDP PPP of under $6,000, has made emergency response a sufficiently high priority that they saved their people just about as well as Florida did.

To get a sense of what might have happened without them, consider that 1.5 million homes in Florida were leveled by the hurricane, and over 100,000 homes were damaged by the typhoon. Vietnam is a country of 94 million people. Florida has a population of 20 million. (The reason Florida determines so many elections is that it is by far the most populous swing state.) Without weather forecasting and emergency response, these death figures would have been in the tens of thousands, not the dozens.

Indeed, if you know statistics and demographics well, these figures become even more astonishing: These death rates were almost indistinguishable from statistical noise.

Vietnam’s baseline death rate is about 5.9 per 1,000, meaning that they experience about 560,000 deaths in any given year. This means that over 1500 people die in Vietnam on a normal day.

Florida’s baseline death rate is about 6.6 per 1,000, actually a bit higher than Vietnam’s, because Florida’s population skews so much toward the elderly. Therefore Florida experiences about 130,000 deaths per year, or 360 deaths on a normal day.

In both Vietnam and Florida, this makes the daily death probability for any given person about 0.0017%. A random process with a fixed probability of 0.0017% over a population of n people will result in an average of 0.0017n events, but with some variation around that number. The standard deviation is actually sqrt(p(1-p)n) = 0.004 sqrt(n). When n = 20,000,000 (Florida), this results in a standard deviation of 18. When n = 94,000,000 (Vietnam), this results in a standard deviation of 40.

This means that the 26 additional deaths in Vietnam were within one standard deviation of average! They basically are indistinguishable from statistical noise. There have been over a hundred days in Vietnam where an extra 26 people happened to die, just in the past year. Weather forecasting took what could have been a historic disaster and turned it into just another bad day.

The 84 additional deaths in Florida are over four standard deviations away from average, so they are definitely distinguishable from statistical noise—but this still means that Florida’s total death rate for the year will only tick up by 0.6%.

It is common in such tragedies to point out in grave tones that “one death is too many”, but I maintain that this is not actually moral wisdom but empty platitude. No conceivable policy is ever going to reduce death rates to zero, and the people who died of heart attacks or brain aneurysms are every bit as dead as the people who died from hurricanes or terrorist attacks. Instead of focusing on the handful of people who died because they didn’t heed warnings or simply got extraordinarily unlucky, I think we should be focusing on the thousands of people who survived because our weather forecasters and emergency responders did their jobs so exceptionally well. Of course if we can reduce the numbers even further, we should; but from where I’m sitting, our emergency response system has a lot to be proud of.

Of course, the economic damage of the storms was substantially greater. The losses in destroyed housing and infrastructure in Florida are projected at over $80 billion. Vietnam is much poorer, so there simply isn’t as much infrastructure to destroy; total damage is unlikely to exceed $10 billion. Florida’s GDP is $926 billion, so they are losing 8.6%; while Vietnam’s GDP is $220 billion, so they are still losing 4.5%. And of course the damage isn’t evenly spread across everyone; those hardest hit will lose perhaps their entire net wealth, while others will feel absolutely nothing.

But economic damage is fleeting. Indeed, if we spend the government money we should be, and take the opportunity to rebuild this infrastructure better than it was before, the long-run economic impact could be positive. Even 8.6% of GDP is less than five years of normal economic growth—and there were years in the 1950s where we did it in a single year. The 4.6% that Vietnam lost, they should make back within a year of their current economic growth.

Thank goodness.

Think of this as a moral recession

August 27, JDN 2457993

The Great Depression was, without doubt, the worst macroeconomic event of the last 200 years. Over 30 million people became unemployed. Unemployment exceeded 20%. Standard of living fell by as much as a third in the United States. Political unrest spread across the world, and the collapsing government of Germany ultimately became the Third Reich and triggered the Second World War If we ignore the world war, however, the effect on mortality rates was surprisingly small. (“Other than that, Mrs. Lincoln, how was the play?”)

And yet, how long do you suppose it took for economic growth to repair the damage? 80 years? 50 years? 30 years? 20 years? Try ten to fifteen. By 1940, the US, US, Germany, and Japan all had a per-capita GDP at least as high as in 1930. By 1945, every country in Europe had a per-capita GDP at least as high as they did before the Great Depression.

The moral of this story is this: Recessions are bad, and can have far-reaching consequences; but ultimately what really matters in the long run is growth.

Assuming the same growth otherwise, a country that had a recession as large as the Great Depression would be about 70% as rich as one that didn’t.

But over 100 years, a country that experienced 3% growth instead of 2% growth would be over two and a half times richer.

Therefore, in terms of standard of living only, if you were given the choice between having a Great Depression but otherwise growing at 3%, and having no recessions but growing at 2%, your grandchildren will be better off if you chose the former. (Of course, given the possibility of political unrest or even war, the depression could very well end up worse.)

With that in mind, I want you to think of the last few years—and especially the last few months—as a moral recession. Donald Trump being President of the United States is clearly a step backward for human civilization, and it seems to have breathed new life into some of the worst ideologies our society has ever harbored, from extreme misogyny, homophobia, right-wing nationalism, and White supremacism to outright Neo-Nazism. When one of the central debates in our public discourse is what level of violence is justifiable against Nazis under what circumstances, something has gone terribly, terribly wrong.

But much as recessions are overwhelmed in the long run by economic growth, there is reason to be confident that this moral backslide is temporary and will be similarly overwhelmed by humanity’s long-run moral progress.

What moral progress, you ask? Let’s remind ourselves.

Just 100 years ago, women could not vote in the United States.

160 years ago, slavery was legal in 15 US states.

Just 3 years ago, same-sex marriage was illegal in 14 US states. Yes, you read that number correctly. I said three. There are gay couples graduating high school and getting married now who as freshmen didn’t think they would be allowed to get married.

That’s just the United States. What about the rest of the world?

100 years ago, almost all of the world’s countries were dictatorships. Today, half of the world’s countries are democracies. Indeed, thanks to India, the majority of the world’s population now lives under democracy.

35 years ago, the Soviet Union still ruled most of Eastern Europe and Northern Asia with an iron fist (or should I say “curtain”?).

30 years ago, the number of human beings in extreme poverty—note I said number, not just rate; the world population was two-thirds what it is today—was twice as large as it is today.

Over the last 65 years, the global death rate due to war has fallen from 250 per million to just 10 per million.

The global literacy rate has risen from 40% to 80% in just 50 years.

World life expectancy has increased by 6 years in just the last 20 years.

We are living in a golden age. Do not forget that.

Indeed, if there is anything that could destroy all these astonishing achievements, I think it would be our failure to appreciate them.

If you listen to what these Neo-Nazi White supremacists say about their grievances, they sound like the spoiled children of millionaires (I mean, they elected one President, after all). They are outraged because they only get 90% of what they want instead of 100%—or even outraged not because they didn’t get what they wanted but because someone else they don’t know also did.

If you listen to the far left, their complaints don’t make much more sense. If you didn’t actually know any statistics, you’d think that life is just as bad for Black people in America today as it was under Jim Crow or even slavery. Well, it’s not even close. I’m not saying racism is gone; it’s definitely still here. But the civil rights movement has made absolutely enormous strides, from banning school segregation and housing redlining to reforming prison sentences and instituting affirmative action programs. Simply the fact that “racist” is now widely considered a terrible thing to be is a major accomplishment in itself. A typical Black person today, despite having only about 60% of the income of a typical White person, is still richer than a typical White person was just 50 years ago. While the 71% high school completion rate Black people currently have may not sound great, it’s much higher than the 50% rate that the whole US population had as recently as 1950.

Yes, there are some things that aren’t going very well right now. The two that I think are most important are climate change and income inequality. As both the global mean temperature anomaly and the world top 1% income share continue to rise, millions of people will suffer and die needlessly from diseases of poverty and natural disasters.

And of course if Neo-Nazis manage to take hold of the US government and try to repeat the Third Reich, that could be literally the worst thing that ever happened. If it triggered a nuclear war, it unquestionably would be literally the worst thing that ever happened. Both these events are unlikely—but not nearly as unlikely as they should be. (Five Thirty Eight interviewed several nuclear experts who estimated a probability of imminent nuclear war at a horrifying five percent.) So I certainly don’t want to make anyone complacent about these very grave problems.

But I worry also that we go too far the other direction, and fail to celebrate the truly amazing progress humanity has made thus far. We hear so often that we are treading water, getting nowhere, or even falling backward, that we begin to feel as though the fight for moral progress is utterly hopeless. If all these centuries of fighting for justice really had gotten us nowhere, the only sensible thing to do at this point would be to give up. But on the contrary, we have made enormous progress in an incredibly short period of time. We are on the verge of finally winning this fight. The last thing we want to do now is give up.

Will China’s growth continue forever?

July 23, JDN 2457958

It’s easy to make the figures sound alarming, especially if you are a xenophobic American:

Annual GDP growth in the US is currently 2.1%, while annual GDP growth in China is 6.9%. At markte exchange rates, US GDP is currently $18.6 trillion, while China’s GDP is $11.2 trillion. If these growth rates continue, that means that China’s GDP will surpass ours in just 12 years.

Looking instead at per-capita GDP (and now using purchasing-power-parity, which is a much better measure for standard of living), the US is currently at $53,200 per person per year while China is at $14,400 per person per year. Since 2010 US per-capita GDP PPP has been growing at about 1.2%, while China’s has been growing at 7.1%. At that rate, China will surpass the US in standard of living in only 24 years.

And then if you really want to get scared, you start thinking about what happens if this growth continues for 20, or 30, or 50 years. At 50 years of these growth rates, US GDP will just about triple; but China’s GDP would increase by almost a factor of thirty. US per-capita GDP will increase to about $150,000, while China’s per-capita GDP will increase all the way to $444,000.

But while China probably will surpass the US in total nominal GDP within say 15 years, the longer-horizon predictions are totally unfounded. In fact, there is reason to believe that China will never surpass the US in standard of living, at least within the foreseeable future. Sure, some sort of global catastrophe could realign the world’s fortunes (climate change being a plausible candidate) and over very long time horizons all sorts of things can happen; but barring catastrophe and looking within the next few generations, there’s little reason to think that the average person in China will actually be better off than the average person in the United States. Indeed, while that $150,000 figure is actually remarkably plausible, that $444,000 figure is totally nonsensical. I project that in 2065, per-capita GDP in the US will indeed be about $150,000, but per-capita GDP in China will be more like $100,000.

That’s still a dramatic improvement over today for both countries, and something worth celebrating; but the panic that the US must be doing something wrong and China must be doing something right, that China is “eating our lunch” in Trump’s terminology, is simply unfounded.

Why am I so confident of this? Because, for all the proud proclamations of Chinese officials and panicked reports of American pundits, China’s rapid growth rates are not unprecedented. We have seen this before.

Look at South Korea. As I like to say, the discipline of development economics is basically the attempt to determine what happened in South Korea 1950-2000 and how to make it happen everywhere.

In 1960, South Korea’s nominal per-capita GDP was only $944. In 2016, it was $25,500. That takes them from solidly Third World underdeveloped status into very nearly First World highly-developed status in just two generations. This was an average rate of growth of 6.0%. But South Korea didn’t grow steadily at 6.0% for that entire period. Their growth fluctuated wildly (small countries tend to do that; they are effectively undiversified assets), but also overall trended downward.

The highest annual growth rate in South Korea over that time period was an astonishing 20.8%. Over twenty percent per year. Now that is growth you would feel. Imagine going from an income of $10,000 to an income of $12,000, in just one year. Imagine your entire country doing this. In its best years, South Korea was achieving annual growth rates in income comparable to the astronomical investment returns of none other than Warren Buffett (For once, we definitely had r < g). Even if you smooth out over the boom-and-bust volatility South Korea went through during that period, they were still averaging growth rates over 7.5% in the 1970s.

I wasn’t alive then, but I wouldn’t be surprised if Americans back then were panicking about South Korea’s growth too. Maybe not, since South Korea was and remains a close US ally, and their success displayed the superiority of capitalism over Communism (boy did it ever: North Korea’s per capita GDP also started at about $900 in 1960, and is still today… only about $1000!); but you could have made the same pie-in-the-sky forecasts of Korea taking over the world if you’d extrapolated their growth rates forward.

South Korea’s current growth rate, on the other hand? 2.9%. Not so shocking now!

Moreover, this is a process we understand theoretically as well as empirically. The Solow model is now well-established as the mainstream neoclassical model of economic growth, and it directly and explicitly predicts this sort of growth pattern, where a country that starts very poor will initially grow extremely fast as they build a capital base and reverse-engineer technology from more advanced countries, but then over a couple of generations their growth will slow down and eventually level off once they reach a high level of economic development.

Indeed, the basic reason is quite simple: A given proportional growth is easier to do when you start small. (There’s more to it than that, involving capital degradation and diminishing marginal returns, but at its core, that’s the basic idea.)

I think I can best instill this realization in you by making another comparison between the US and China: How much income are we adding in absolute terms?

US per-capita GDP of $53,200 is growing at 1.2% per year; that means we’re adding $640 per person per year. China per-capita GDP of $14,400 is growing at 7.1% per year; that means they’re adding $1,020 per year. So while it sounds like they are growing almost six times faster, they’re actually only adding about 40% more real income per person each year than we are. It’s just a larger proportion to them.

Indeed, China is actually doing relatively well on this scale. Many developing countries that are growing “fast” are actually adding less income per person in absolute terms than many highly-developed countries. India’s per capita GDP is growing at 5.8% per year, but adding only $340 per person per year. Ethiopia’s income per person is growing by 4.9%—which is only $75 per person per year. Compare this to the “slow” growth of the UK, where 1.0% annual growth is still $392 per person per year, or France, where “stagnant” growth of 0.8% is still $293 per person per year.

Back when South Korea was growing at 20%, that was still on the order of $200 per person per year. Their current 2.9%, on the other hand, is actually $740 per person per year. We often forget just how poor many poor countries truly are; what sounds like a spectacular growth rate still may not be all that much in absolute terms.

Here’s a graph (on a log scale) of GDP per capita in the US, Japan, China, and Korea, from World Bank data since 1960. I’d prefer to use GDP PPP, but the World Bank data doesn’t go back far enough.

As you can see, there is a general pattern of growth at a decreasing rate; it’s harder to see in China because they are earlier in the process; but there’s good reason to think that they will follow the same pattern.

If anything, I think the panic about Japan in the 1990s may have been more justifiable (not that it was terribly justified either). As you can see on the graph, in terms of nominal GDP per capita, Japan actually did briefly surpass the United States in the 1990s. Of course, the outcome of that was not a global war or Japan ruling the world or something; it was… the Nintendo Wii and the Toyota Prius.

Of course, that doesn’t stop people from writing news articles and even publishing economic papers about how this time is different, not like all the other times we saw the exact same pattern. Many Chinese officials appear to believe that China is special, that they can continue to grow at extremely high rates indefinitely without the constraints that other countries would face. But for once economic theory and economic data are actually in very good agreement: These high growth rates will not last forever. They will slow down, and that’s not such a bad thing. By the time they do, China will have greatly raised their standard of living to something very close to our own. Hundreds of millions of people have already been lifted out of abject poverty; continued growth could benefit hundreds of millions more.

The far bigger problem would be if the government refuses to accept that growth must slow down, and begins trying to force impossible levels of growth or altering the economic data to make it appear as though growth has occurred that hasn’t. We already know that the People’s Republic of China has a track record of doing this sort of thing: we know they have manipulated some data, though we think only in small ways, and the worst example of an attempt at forcing economic growth in human history was in China, the so-called “Great Leap Forward” that killed 20 million people. The danger is not that China will grow this fast forever, nor that they will slow down soon enough, but that they will slow down and their government will refuse to admit it.

Why “marginal productivity” is no excuse for inequality

May 28, JDN 2457902

In most neoclassical models, workers are paid according to their marginal productivity—the additional (market) value of goods that a firm is able to produce by hiring that worker. This is often used as an excuse for inequality: If someone can produce more, why shouldn’t they be paid more?

The most extreme example of this is people like Maura Pennington writing for Forbes about how poor people just need to get off their butts and “do something”; but there is a whole literature in mainstream economics, particularly “optimal tax theory”, arguing based on marginal productivity that we should tax the very richest people the least and never tax capital income. The Chamley-Judd Theorem famously “shows” (by making heroic assumptions) that taxing capital just makes everyone worse off because it reduces everyone’s productivity.

The biggest reason this is wrong is that there are many, many reasons why someone would have a higher income without being any more productive. They could inherit wealth from their ancestors and get a return on that wealth; they could have a monopoly or some other form of market power; they could use bribery and corruption to tilt government policy in their favor. Indeed, most of the top 0.01% do literally all of these things.

But even if you assume that pay is related to productivity in competitive markets, the argument is not nearly as strong as it may at first appear. Here I have a simple little model to illustrate this.

Suppose there are 10 firms and 10 workers. Suppose that firm 1 has 1 unit of effective capital (capital adjusted for productivity), firm 2 has 2 units, and so on up to firm 10 which has 10 units. And suppose that worker 1 has 1 unit of so-called “human capital”, representing their overall level of skills and education, worker 2 has 2 units, and so on up to worker 10 with 10 units. Suppose each firm only needs one worker, so this is a matching problem.

Furthermore, suppose that productivity is equal to capital times human capital: That is, if firm 2 hired worker 7, they would make 2*7 = $14 of output.

What will happen in this market if it converges to equilibrium?

Well, first of all, the most productive firm is going to hire the most productive worker—so firm 10 will hire worker 10 and produce $100 of output. What wage will they pay? Well, they need a wage that is high enough to keep worker 10 from trying to go elsewhere. They should therefore pay a wage of $90—the next-highest firm productivity times the worker’s productivity. That’s the highest wage any other firm could credibly offer; so if they pay this wage, worker 10 will not have any reason to leave.

Now the problem has been reduced to matching 9 firms to 9 workers. Firm 9 will hire worker 9, making $81 of output, and paying $72 in wages.

And so on, until worker 1 at firm 1 produces $1 and receives… $0. Because there is no way for worker 1 to threaten to leave, in this model they actually get nothing. If I assume there’s some sort of social welfare system providing say $0.50, then at least worker 1 can get that $0.50 by threatening to leave and go on welfare. (This, by the way, is probably the real reason firms hate social welfare spending; it gives their workers more bargaining power and raises wages.) Or maybe they have to pay that $0.50 just to keep the worker from starving to death.

What does inequality look like in this society?
Well, the most-productive firm only has 10 times as much capital as the least-productive firm, and the most-educated worker only has 10 times as much skill as the least-educated worker, so we might think that incomes would vary only by a factor of 10.

But in fact they vary by a factor of over 100.

The richest worker makes $90, while the poorest worker makes $0.50. That’s a ratio of 180. (Still lower than the ratio of the average CEO to their average employee in the US, by the way.) The worker is 10 times as productive, but they receive 180 times as much income.

The firm profits vary along a more reasonable scale in this case; firm 1 makes a profit of $0.50 while firm 10 makes a profit of $10. Indeed, except for firm 1, firm n always makes a profit of $n. So that’s very nearly a linear scaling in productivity.

Where did this result come from? Why is it so different from the usual assumptions? All I did was change one thing: I allowed for increasing returns to scale.

If you make the usual assumption of constant returns to scale, this result can’t happen. Multiplying all the inputs by 10 should just multiply the output by 10, by assumption—since that is the definition of constant returns to scale.

But if you look at the structure of real-world incomes, it’s pretty obvious that we don’t have constant returns to scale.

If we had constant returns to scale, we should expect that wages for the same person should only vary slightly if that person were to work in different places. In particular, to have a 2-fold increase in wage for the same worker you’d need more than a 2-fold increase in capital.

This is a bit counter-intuitive, so let me explain a bit further. If a 2-fold increase in capital results in a 2-fold increase in wage for a given worker, that’s increasing returns to scale—indeed, it’s precisely the production function I assumed above.
If you had constant returns to scale, a 2-fold increase in wage would require something like an 8-fold increase in capital. This is because you should get a 2-fold increase in total production by doubling everything—capital, labor, human capital, whatever else. So doubling capital by itself should produce a much weaker effect. For technical reasons I’d rather not get into at the moment, usually it’s assumed that production is approximately proportional to capital to the one-third power—so to double production you need to multiply capital by 2^3 = 8.

I wasn’t able to quickly find really good data on wages for the same workers across different countries, but this should at least give a rough idea. In Mumbai, the minimum monthly wage for a full-time worker is about $80. In Shanghai, it is about $250. If you multiply out the US federal minimum wage of $7.25 per hour by 40 hours by 4 weeks, that comes to $1160 per month.

Of course, these are not the same workers. Even an “unskilled” worker in the US has a lot more education and training than a minimum-wage worker in India or China. But it’s not that much more. Maybe if we normalize India to 1, China is 3 and the US is 10.

Likewise, these are not the same jobs. Even a minimum wage job in the US is much more capital-intensive and uses much higher technology than most jobs in India or China. But it’s not that much more. Again let’s say India is 1, China is 3 and the US is 10.

If we had constant returns to scale, what should the wages be? Well, for India at productivity 1, the wage is $80. So for China at productivity 3, the wage should be $240—it’s actually $250, close enough for this rough approximation. But the US wage should be $800—and it is in fact $1160, 45% larger than we would expect by constant returns to scale.

Let’s try comparing within a particular industry, where the differences in skill and technology should be far smaller. The median salary for a software engineer in India is about 430,000 INR, which comes to about $6,700. If that sounds rather low for a software engineer, you’re probably more accustomed to the figure for US software engineers, which is $74,000. That is a factor of 11 to 1. For the same job. Maybe US software engineers are better than Indian software engineers—but are they that much better? Yes, you can adjust for purchasing power and shrink the gap: Prices in the US are about 4 times as high as those in India, so the real gap might be 3 to 1. But these huge price differences themselves need to be explained somehow, and even 3 to 1 for the same job in the same industry is still probably too large to explain by differences in either capital or education, unless you allow for increasing returns to scale.

In most industries, we probably don’t have quite as much increasing returns to scale as I assumed in my simple model. Workers in the US don’t make 100 times as much as workers in India, despite plausibly having both 10 times as much physical capital and 10 times as much human capital.

But in some industries, this model might not even be enough! The most successful authors and filmmakers, for example, make literally thousands of times as much money as the average author or filmmaker in their own country. J.K. Rowling has almost $1 billion from writing the Harry Potter series; this is despite having literally the same amount of physical capital and probably not much more human capital than the average author in the UK who makes only about 11,000 GBP—which is about $14,000. Harry Potter and the Philosopher’s Stone is now almost exactly 20 years old, which means that Rowling made an average of $50 million per year, some 3500 times as much as the average British author. Is she better than the average British author? Sure. Is she three thousand times better? I don’t think so. And we can’t even make the argument that she has more capital and technology to work with, because she doesn’t! They’re typing on the same laptops and using the same printing presses. Either the return on human capital for British authors is astronomical, or something other than marginal productivity is at work here—and either way, we don’t have anything close to constant returns to scale.

What can we take away from this? Well, if we don’t have constant returns to scale, then even if wage rates are proportional to marginal productivity, they aren’t proportional to the component of marginal productivity that you yourself bring. The same software developer makes more at Microsoft than at some Indian software company, the same doctor makes more at a US hospital than a hospital in China, the same college professor makes more at Harvard than at a community college, and J.K. Rowling makes three thousand times as much as the average British author—therefore we can’t speak of marginal productivity as inhering in you as an individual. It is an emergent property of a production process that includes you as a part. So even if you’re entirely being paid according to “your” productivity, it’s not really your productivity—it’s the productivity of the production process you’re involved in. A myriad of other factors had to snap into place to make your productivity what it is, most of which you had no control over. So in what sense, then, can we say you earned your higher pay?

Moreover, this problem becomes most acute precisely when incomes diverge the most. The differential in wages between two welders at the same auto plant may well be largely due to their relative skill at welding. But there’s absolutely no way that the top athletes, authors, filmmakers, CEOs, or hedge fund managers could possibly make the incomes they do by being individually that much more productive.

Unpaid work and the double burden

Apr 16, JDN 2457860

When we say the word “work”, what leaps to mind is usually paid work in the formal sector—the work people do for employers. When you “go to work” each morning, you are going to do your paid work in the formal sector.

But a large quantity of the world’s labor does not take this form. First, there is the informal sectorwork done for cash “under the table”, where there is no formal employment structure and often no reporting or payment of taxes. Many economists estimate that the majority of the world’s workers are employed in the informal sector. The ILO found that informal employment comprises as much as 70% of employment in some countries. However, it depends how you count: A lot of self-employment could be considered either formal or informal. If you base it on whether you do any work outside an employer-employee relationship, informal sector work is highly prevalent around the world. If you base it on not reporting to the government to avoid taxes, informal sector work is less common. If it must be your primary source of income, whether or not you pay taxes, informal sector work is uncommon. And if you only include informal sector work when it is your primary income source and not reported to the government, informal sector work is relatively rare and largely restricted to underdeveloped countries.

But that’s not really my focus for today, because you at least get paid in the informal sector. Nor am I talking about forced laborthat is, slavery, essentially—which is a serious human rights violation that sadly still goes on in many countries.

No, the unpaid work I want to talk about today is work that people willingly do for free.

I’m also excluding internships and student work, where (at least in theory) the idea is that instead of getting paid you are doing the work in order to acquire skills and experience that will be valuable to you later on. I’m talking about work that you do for its own sake.

Such work can be divided into three major categories.
First there is vocation—the artist who would paint even if she never sold a single canvas; the author who is compelled to write day and night and would give the books away for free. Vocation is work that you do for fun, or because it is fulfilling. It doesn’t even feel like “work” in quite the same sense. For me, writing and research are vocation, at least in part; even if I had $5 million in stocks I would still do at least some writing and research as part of what gives my life meaning.

Second there is volunteering—the soup kitchen, the animal shelter, the protest march. Volunteering is work done out of altruism, to help other people or work toward some greater public goal. You don’t do it for yourself, you do it for others.

Third, and really my main focus for this post, is domestic labor—vacuuming the rug, mopping the floor, washing the dishes, fixing the broken faucet, changing the baby’s diapers. This is generally not work that anyone finds particularly meaningful or fulfilling, nor is it done out of any great sense of altruism (perhaps toward your own family, but that’s about the extent of it). But you also don’t get paid to do it. You do it because it must be done.

There is also considerable overlap, of course: Many people find meaning in their activism or charitable work, and part of what motivates artists and authors is a desire to change the world.

Vocation is ultimately what I would like to see the world move towards. One of the great promises of a basic income is that it might finally free us from the grind of conventional employment that has gripped us ever since we first managed to escape the limitations of subsistence farming—which in turn gripped us ever since we escaped the desperation of hunter-gatherer survival. The fourth great stage in human prosperity might finally be a world where we can work not for food or for pay, but for meaning. A world of musicians and painters, of authors and playwrights, of sculptors and woodcutters, yes; but also a world of cinematographers and video remixers, of 3D modelers and holographers, of VR designers and video game modders. If you ever fret that no work would be done without the constant pressure of the wage incentive, spend some time on Stack Overflow or the Steam Workshop. People will spend hundreds of person-hours at extremely high-skill tasks—I’m talking AI programming and 3D modeling here—not for money but for fun.

Volunteering is frankly kind of overrated; as the Effective Altruism community will eagerly explain to you any chance they get, it’s usually more efficient for you to give money rather than time, because money is fungible while giving your time only makes sense if your skills are actually the ones that the project needs. If this criticism of so much well-intentioned work sounds petty, note that literally thousands of lives would be saved each year if instead of volunteering people donated an equivalent amount of money so that charities could hire qualified workers instead. Unskilled volunteers and donations of useless goods after a disaster typically cause what aid professionals call the “second disaster”. Still, people do find meaning in volunteering, and there is value in that; and also there are times when you really are the best one to do it, particularly when it comes to local politics.

But what should we do with domestic labor?

Some of it can and will be automated away—the Parable of the Dishwasher with literal dishwashers. But it will be awhile before it all can, and right now it’s still a bit expensive. Maybe instead of vacuuming I should buy a Roomba—but $500 feels like a lot of money right now.

Much domestic labor we could hire out to someone else, but we simply choose not to. I could always hire someone to fix my computer, unclog my bathtub, or even mop my floors; I just don’t because it seems too expensive.
From the perspective of an economist, it’s actually a bit odd that it seems too expensive. I might have a comparative advantage in fixing my computer—it’s mine, after all, so I know its ins and outs, and while I’m no hotshot Google admin I am a reasonably competent programmer and debugger in my own right. And while for many people auto repair is a household chore, I do actually hire auto mechanics; I don’t even change my own oil, though partly that’s because my little Smart has an extremely compact design that makes it hard to work on. But I surely have no such comparative advantage in cleaning my floors or unclogging my pipes; so why doesn’t it seem worth it to hire someone else to do that?

Maybe I’m being irrational; hiring a cleaning service isn’t that expensive after all. I could hire a cleaning service to do my whole apartment for something like $80, and if I scheduled a regular maid it would probably be something like that per month. That’s what I would charge for two hours of tutoring, so maybe it would behoove me to hire a maid and spend that extra time tutoring or studying.

Or maybe it’s this grad student budget of mine; money is pretty tight at the moment, as I go through this strange societal ritual where young adults go through a period of near-poverty, overwhelming workload and constant anxiety not in spite but because we are so intelligent and hard-working. Perhaps if and when I get that $70,000 job as a professional economist my marginal utility of wealth will decrease and I will feel more inclined to hire maid services.

There are also transaction costs I save on by doing the work myself. A maid would have to commute here, first of all, reducing the efficiency gains from their comparative advantage in the work; but more than that, there’s a lot of effort I’d have to put in just to prepare for the maid and deal with any problems that might arise. There are scheduling issues, and the work probably wouldn’t get done as quickly unless I were to spend enough to hire a maid on a regular basis. There’s also a psychological cost in comfort and privacy to dealing with a stranger in one’s home, and a small but nontrivial risk that the maid might damage or steal something important.

But honestly it might be as simple as social norms (remember: to a first approximation, all human behavior is social norms). Regardless of whether or not it is affordable, it feels strange to hire a maid. That’s the sort of thing only rich, decadent people do. A responsible middle-class adult is supposed to mop their own floors and do their own laundry. Indeed, while hiring a plumber or an auto mechanic feels like paying for a service, hiring a maid crosses a line and feels like hiring a servant. (I honestly always feel a little awkward around the gardeners hired by our housing development for that reason. I’m only paying them indirectly, but there’s still this vague sense that they are somehow subservient—and surely, we are of quite distinct socioeconomic classes. Maybe it would help if I brushed up on my Spanish and got to know them better?)

And then there’s the gender factor. Being in a same-sex couple household changes the domestic labor dynamic quite a bit relative to the conventional opposite-sex couple household. Even in ostensibly liberal, feminist, egalitarian households, and even when both partners are employed full-time, it usually ends up being the woman who does most of the housework. This is true in the US; it is true in the UK; it is true in Europe; indeed it’s true in most if not all countries around the world, and, unsurprisingly, it is worst in India, where women spend a whopping five hours per day more on housework than men. (I was not surprised by the fact that Japan and China also do poorly, given their overall gender norms; but I’m a bit shocked at how badly Ireland and Italy do on this front.) And yes, while #ScandinaviaIsBetter, still in Sweden and Norway women spend half an hour to an hour more on housework on an average day than men.

Which, of course, supports the social norm theory. Any time you see both an overwhelming global trend against women and considerable cross-country variation within that trend, your first hypothesis should be sexism. Without the cross-country variation, maybe it could be biology—the sex differences in height and upper-body strength, for example, are pretty constant across countries. But women doing half an hour more in Norway but five hours more in India looks an awful lot like sexism.

This is called the double burden: To meet the social norms of being responsible middle-class adults, men are merely expected to work full-time at a high-paying job, but women are expected to do both the full effort of maintaining a household and the full effort of working at a full-time job. This is surely an improvement over the time when women were excluded from the formal workforce, not least because of the financial freedom that full-time work affords many women; but it would be very nice if we could also find a way to share some of that domestic burden as well. There has been some trend toward a less unequal share of housework as more women enter the workforce, but it still has a long way to go, even in highly-developed countries.

So, we can start by trying to shift the social norm that housework is gendered: Women clean the floors and change the diapers, while men fix the car and paint the walls. Childcare in particular is something that should be done equally by all parents, and while it’s plausible that one person may be better or worse at mopping or painting, it strains credulity to think that it’s always the woman who is better at mopping and the man who is better at painting.

Yet perhaps this is a good reason to try to shift away from another social norm as well, the one where only rich people hire maids and maids are servants. Unfortunately, it’s likely that most maids will continue to be women for the foreseeable future—cleaning services are gendered in much the same way that nursing and childcare are gendered. But at least by getting paid to clean, one can fulfill the “job” norm and the “housekeeping” norm in one fell swoop; and then women who are in other professions can carry only one burden instead of two. And if we can begin to think of cleaning services as more like plumbing and auto repair—buying a service, not hiring a servant—this is likely to improve the condition and social status of a great many maids. I doubt we’d ever get to the point where mopping floors is as prestigious as performing neurosurgery, but maybe we can at least get to the point where being a maid is as respectable as being a plumber. Cleaning needs done; it shouldn’t be shameful to be someone who is very good at doing it and gets paid to do so. (That is perhaps the most pernicious aspect of socioeconomic class, this idea that some jobs are “shameful” because they are done by workers with less education or involve more physical labor.)
This also makes good sense in terms of economic efficiency: Your comparative advantage is probably not in cleaning services, or if it is then perhaps you should do that as a career. So by selling your labor at whatever you are good at and then buying the services of someone who is especially good at cleaning, you should, at least in theory, be able to get the same cleaning done and maintain the same standard of living for yourself while also accomplishing more at whatever it is you do in your profession and providing income for whomever you hire to do the cleaning.

So, should I go hire a cleaning service after all? I don’t know, that still sounds pretty expensive.

Intellectual Property, revisited

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.