productivity

Low-skill jobs

pnrj ethics, inequality, market failure, public policy , , , ,

Dec 5 JDN 2459554

I’ve seen this claim going around social media for awhile now: “Low-skill jobs are a classist myth created to justify poverty wages.”

I can understand why people would say things like this. I even appreciate that many low-skill jobs are underpaid and unfairly stigmatized. But it’s going a bit too far to claim that there is no such thing as a low-skill job.

Suppose all the world’s physicists and all the world’s truckers suddenly had to trade jobs for a month. Who would have a harder time?

If a mathematician were asked to do the work of a janitor, they’d be annoyed. If a janitor were asked to do the work of a mathematician, they’d be completely nonplussed.

I could keep going: Compare robotics engineers to dockworkers or software developers to fruit pickers.

Higher pay does not automatically equate to higher skills: welders are clearly more skilled than stock traders. Give any welder a million-dollar account and a few days of training, and they could do just as well as the average stock trader (which is to say, worse than the S&P 500). Give any stock trader welding equipment and a similar amount of training, and they’d be lucky to not burn their fingers off, much less actually usefully weld anything.

This is not to say that any random person off the street could do just as well as a janitor or dockworker as someone who has years of experience at that job. It is simply to say that they could do better—and pick up the necessary skills faster—than a random person trying to work as a physicist or software developer.

Moreover, this does justify some difference in pay. If some jobs are easier than others, in the sense that more people are qualified to do them, then the harder jobs will need to pay more in order to attract good talent—if they didn’t, they’d risk their high-skill workers going and working at the low-skill jobs instead.

This is of course assuming all else equal, which is clearly not the case. No two jobs are the same, and there are plenty of other considerations that go into choosing someone’s wage: For one, not simply what skills are required, but also the effort and unpleasantness involved in doing the work. I’m entirely prepared to believe that being a dockworker is less fun than being a physicist, and this should reduce the differential in pay between them. Indeed, it may have: Dockworkers are paid relatively well as far as low-skill jobs go—though nowhere near what physicists are paid. Then again, productivity is also a vital consideration, and there is a general tendency that high-skill jobs tend to be objectively more productive: A handful of robotics engineers can do what was once the work of hundreds of factory laborers.

There are also ways for a worker to be profitable without being particularly productive—that is, to be very good at rent-seeking. This is arguably the case for lawyers and real estate agents, and undeniably the case for derivatives traders and stockbrokers. Corporate executives aren’t stupid; they wouldn’t pay these workers astronomical salaries if they weren’t making money doing so. But it’s quite possible to make lots of money without actually producing anything of particular value for human society.

But that doesn’t mean that wages are always fair. Indeed, I dare say they typically are not. One of the most important determinants of wages is bargaining power. Unions don’t increase skill and probably don’t increase productivity—but they certainly increase wages, because they increase bargaining power.

And this is also something that’s correlated with lower levels of skill, because the more people there are who know how to do what you do, the harder it is for you to make yourself irreplaceable. A mathematician who works on the frontiers of conformal geometry or Teichmueller theory may literally be one of ten people in the world who can do what they do (quite frankly, even the number of people who know what they do is considerably constrained, though probably still at least in the millions). A dockworker, even one who is particularly good at loading cargo skillfully and safely, is still competing with millions of other people with similar skills. The easier a worker is to replace, the less bargaining power they have—in much the same way that a monopoly has higher profits than an oligopoly, which has higher profits that a competitive market.

This is why I support unions. I’m also a fan of co-ops, and an ardent supporter of progressive taxation and safety regulations. So don’t get me wrong: Plenty of low-skill workers are mistreated and underpaid, and they deserve better.

But that doesn’t change the fact that it’s a lot easier to be a janitor than a physicist.

Economic Possibilities for Ourselves

pnrj core principles, critique of neoclassical economics, development economics, ethics, futurism, inequality, public policy , , , , , , ,

May 2 JDN 2459335

In 1930, John Maynard Keynes wrote one of the greatest essays ever written on economics, “Economic Possibilities for our Grandchildren.” You can read it here.


In that essay he wrote:

“I would predict that the standard of life in progressive countries one hundred years hence will be between four and eight times as high as it is.”

US population in 1930: 122 million; US real GDP in 1930: $1.1 trillion. Per-capita GDP: $9,000

US population in 2020: 329 million; US real GDP in 2020: $18.4 trillion. Per-capita GDP: $56,000

That’s a factor of 6. Keynes said 4 to 8; that makes his estimate almost perfect. We aren’t just inside his error bar, we’re in the center of it. If anything he was under-confident. Of course we still have 10 years left before a full century has passed: At a growth rate of 1% in per-capita GDP, that will make the ratio closer to 7—still well within his confidence interval.

I’d like to take a moment to marvel at how good this estimate is. Keynes predicted the growth rate of the entire US economy one hundred years in the future to within plus or minus 30%, and got it right.

With this in mind, it’s quite astonishing what Keynes got wrong in his essay.


The point of the essay is that what Keynes calls “the economic problem” will soon be solved. By “the economic problem”, he means the scarcity of resources that makes it impossible for everyone in the world to make a decent living. Keynes predicts that by 2030—so just a few years from now—humanity will have effectively solved this problem, and we will live in a world where everyone can live comfortably with adequate basic necessities like shelter, food, water, clothing, and medicine.

He laments that with the dramatically higher productivity that technological advancement brings, we will be thrust into a life of leisure that we are unprepared to handle. Evolved for a world of scarcity, we built our culture around scarcity, and we may not know what to do with ourselves in a world of abundance.

Keynes sounds his most naive when he imagines that we would spread out our work over more workers each with fewer hours:

“For many ages to come the old Adam will be so strong in us that everybody will need to do some work if he is to be contented. We shall do more things for ourselves than is usual with the rich today, only too glad to have small duties and tasks and routines. But beyond this, we shall endeavour to spread the bread thin on the butter-to make what work there is still to be done to be as widely shared as possible. Three-hour shifts or a fifteen-hour week may put off the problem for a great while. For three hours a day is quite enough to satisfy the old Adam in most of us!”

Plainly that is nothing like what happened. Americans do on average work fewer hours today than we did in the past, but not by anything like this much: average annual hours fell from about 1,900 in 1950 to about 1,700 today. Where Keynes was predicting a drop of 60%, the actual drop was only about 10%.

Here’s another change Keynes predicted that I wish we’d made, but we certainly haven’t:

“When the accumulation of wealth is no longer of high social importance, there will be great changes in the code of morals. We shall be able to rid ourselves of many of the pseudo-moral principles which have hag-ridden us for two hundred years, by which we have exalted some of the most distasteful of human qualities into the position of the highest virtues. We shall be able to afford to dare to assess the money-motive at its true value. The love of money as a possession—as distinguished from the love of money as a means to the enjoyments and realities of life—will be recognised for what it is, a somewhat disgusting morbidity, one of those semicriminal, semi-pathological propensities which one hands over with a shudder to the specialists in mental disease.”

Sadly, people still idolize Jeff Bezos and Elon Musk just as much their forebears idolized Henry Ford or Andrew Carnegie. And really there’s nothing semi- about it: The acquisition of billions of dollars by exploiting others is clearly indicative of narcissism if not psychopathy.

It’s not that we couldn’t have made the world that Keynes imagined. There’s plenty of stuff—his forecast for our per-capita GDP was impeccable. But when we automated away all of the most important work, Keynes thought we would turn to lives of leisure, exploring art, music, literature, film, games, sports. But instead we did something he did not anticipate: We invented new kinds of work.

This would be fine if the new work we invented is genuinely productive; and some of it is, no doubt. Keynes could not have anticipated the emergence of 3D graphics designers, smartphone engineers, or web developers, but these jobs do genuinely productive and beneficial work that makes use of our extraordinary new technologies.

But think for a moment about Facebook and Google, now two of the world’s largest and most powerful corporations. What do they sell? Think carefully! Facebook doesn’t sell social media. Google doesn’t sell search algorithms. Those are services they provide as platforms for what they actually sell: Advertising.

That is, some of the most profitable, powerful corporations in the world today make all of their revenue entirely from trying to persuade people to buy things they don’t actually need. The actual benefits they provide to humanity are sort of incidental; they exist to provide an incentive to look at the ads.

Paul Krugman often talks about Solow’s famous remark that “computers showed up everywhere but the productivity statistics”; aggregate productivity growth has, if anything, been slower in the last 40 years than in the previous 40.

But this aggregate is a very foolish measure. It’s averaging together all sorts of work into one big lump.

If you look specifically at manufacturing output per worker—the sort of thing you’d actually expect to increase due to automation—it has in fact increased, at breakneck speed: The average American worker produced four times as much output per hour in 2000 as in 1950.

The problem is that instead of splitting up the manufacturing work to give people free time, we moved them all into services—which have not meaningfully increased their productivity in the same period. The average growth rate in multifactor productivity in the service industries since the 1970s has been a measly 0.2% per year, meaning that our total output per worker in service industries is only 10% higher than it was in 1970.

While our population is more than double what it was in 1950, our total manufacturing employment is now less than it was in 1950. Our employment in services is four times what it was in 1950. We moved everyone out of the sector that actually got more productive and stuffed them into the sector that didn’t.

This is why the productivity statistics are misleading. Suppose we had 100 workers, and 2 industries.

Initially, in manufacturing, each worker can produce goods worth $20 per hour. In services, each worker can only produce services worth $10 per hour. 50 workers work in each industry, so average productivity is (50*$20+50*$10)/100 = $15 per hour.

Then, after new technological advances, productivity in manufacturing increases to $80 per hour, but people don’t actually want to spend that much on manufactured good. So 30 workers from manufacturing move over to services, which still only produce $10 per hour. Now total productivity is (20*$80+80*$10)/100 = $24 per hour.

Overall productivity now appears to only have risen 60% over that time period (in 50 years this would be 0.9% per year), but in fact it rose 300% in manufacturing (2.2% per year) but 0% in services. What looks like anemic growth in productivity is actually a shift of workers out of the productive sectors into the unproductive sectors.

Keynes imagined that once we had made manufacturing so efficient that everyone could have whatever appliances they like, we’d give them the chance to live their lives without having to work. Instead, we found jobs for them—in large part, jobs that didn’t need doing.

Advertising is the clearest example: It’s almost pure rent-seeking, and if it were suddenly deleted from the universe almost everyone would actually be better off.

But there are plenty of other jobs, what the late David Graeber called “bullshit jobs”, that have the same character: Sales, consulting, brokering, lobbying, public relations, and most of what goes on in management, law and finance. Graeber had a silly theory that we did this on purpose either to make the rich feel important or to keep people working so they wouldn’t question the existing system. The real explanation is much simpler: These jobs are rent-seeking. They do make profits for the corporations that employ them, but they contribute little or nothing to human society as a whole.

I’m not sure how surprised Keynes would be by this outcome. In parts of the essay he acknowledges that the attitude which considers work a virtue and idleness a vice is well-entrenched in our society, and seems to recognize that the transition to a world where most people work very little is one that would be widely resisted. But his vision of what the world would be like in the early 21st century does now seem to be overly optimistic, not in its forecasts of our productivity and output—which, I really cannot stress enough, were absolutely spot on—but in its predictions of how society would adapt to that abundance.

It seems that most people still aren’t quite ready to give up on a world built around jobs. Most people still think of a job as the primary purpose of an adult’s life, that someone who isn’t working for an employer is somehow wasting their life and free-riding on everyone else.

In some sense this is perhaps true; but why is it more true of someone living on unemployment than of someone who works in marketing, or stock brokering, or lobbying, or corporate law? At least people living on unemployment aren’t actively making the world worse. And since unemployment pays less than all but the lowest-paying jobs, the amount of resources that are taken up by people on unemployment is considerably less than the rents which are appropriated by industries like consulting and finance.

Indeed, whenever you encounter a billionaire, there’s one thing you know for certain: They are very good at rent-seeking. Whether by monopoly power, or exploitation, or outright corruption, all the ways it’s possible to make a billion dollars are forms of rent-seeking. And this is for a very simple and obvious reason: No one can possibly work so hard and be so productive as to actually earn a billion dollars. No one’s real opportunity cost is actually that high—and the difference between income and real opportunity cost is by definition economic rent.

If we’re truly concerned about free-riding on other people’s work, we should really be thinking in terms of the generations of scientists and engineers before us who made all of this technology possible, as well as the institutions and infrastructure that have bequeathed us a secure stock of capital. You didn’t build that applies to all of us: Even if all the necessary raw materials were present, none of us could build a smartphone by hand alone on a desert island. Most of us couldn’t even sew a pair of pants or build a house—though that is at least the sort of thing that it’s possible to do by hand.

But in fact I think free-riding on our forebears is a perfectly acceptable activity. I am glad we do it, and I hope our descendants do it to us. I want to build a future where life is better than it is now; I want to leave the world better than we found it. If there were some way to inter-temporally transfer income back to the past, I suppose maybe we ought to do so—but as far as we know, there isn’t. Nothing can change the fact that most people were desperately poor for most of human history.

What we now have the power to decide is what will happen to people in the future: Will we continue to maintain this system where our wealth is decided by our willingness to work for corporations, at jobs that may be utterly unnecessary or even actively detrimental? Or will we build a new system, one where everyone gets the chance to share in the abundance that our ancestors have given us and each person gets the chance to live their life in the way that they find most meaningful?

Keynes imagined a bright future for the generation of his grandchildren. We now live in that generation, and we have precisely the abundance of resources he predicted we would. Can we now find a way to build that bright future?

“Harder-working” countries are not richer

pnrj public policy, Uncategorized , , , , , , ,

July 28 JDN 2458693

American culture is obsessed with work. We define ourselves by our professions. We are one of only a handful of countries in the world that don’t guarantee vacations for their workers. Over 50 million Americans suffer from chronic sleep deprivation, mostly due to work. Then again, we are also an extremely rich country; perhaps our obsession with work is what made us so rich?

Well… not really. Take a look at this graph, which I compiled from OECD data:

 

Worker_productivity

The X-axis shows the average number of hours per worker per year. I think this is the best measure of a country’s “work obsession”, as it includes both length of work week, proportion of full-time work, and amount of vacation time. The At 1,786 hours per worker per year, the US is not actually the highest: That title goes to Mexico, at an astonishing 2,148 hours per worker per year. The lowest is Germany at only 1,363 hours per worker per year. Converted into standard 40-hour work weeks, this means that on average Americans work 44 weeks per year, Germans work on average 34 weeks per year, and Mexicans work 54 weeks per year—that is, they work more than full-time every week of the year.

The Y-axis shows GDP per worker per year. I calculated this by multiplying GDP per work hour (a standard measure of labor productivity) by average number of work hours per worker per year. At first glance, these figures may seem too large; for instance they are $114,000 in the US and $154,000 in Ireland. But keep in mind that this is per worker, not per person; the usual GDP per capita figure divides by everyone in the population, while this is only dividing by the number of people who are actively working. Unemployed people are not included, and neither are children or retired people.

There is an obvious negative trend line here. While Ireland is an outlier with exceptionally high labor productivity, the general pattern is clear: the countries with the most GDP per worker actually work the fewest hours. Once again #ScandinaviaIsBetter: Norway and Denmark are near the bottom for work hours and near the top for GDP per worker. The countries that work the most hours, like Mexico and Costa Rica, have the lowest GDP per worker.

This is actually quite remarkable. We would expect that productivity per hour decreases as work hours increase; that’s not surprising at all. But productivity per worker decreasing means that these extra hours are actually resulting in less total output. We are so overworked, overstressed, and underslept that we actually produce less than our counterparts in Germany or Denmark who spend less time working.

Where we would expect the graph of output as a function of hours to look like the blue line below, it actually looks more like the orange line:

Labor_output

Rather than merely increasing at a decreasing rate, output per worker actually decreases as we put in more hours—and does so over most of the range in which countries actually work. It wouldn’t be so surprising if this sort of effect occurred above say 2000 hours per year, when you start running out of time to do anything else; but in fact it seems to be happening somewhere around 1400 hours per year, which is less than most countries work.

Only a handful of countries—mostly Scandinavian—actually seem to be working the right amount; everyone else is working too much and producing less as a result.

And note that this is not restricted to white-collar or creative jobs where we would expect sleep deprivation and stress to have a particularly high impact. This includes all jobs. Our obsession with work is actually making us poorer!

The “productivity paradox”

pnrj critique of neoclassical economics, futurism, public policy , , , , , , ,

 

Dec 10, JDN 2458098

Take a look at this graph of manufacturing output per worker-hour:

Manufacturing_productivity

From 1988 to 2008, it was growing at a steady pace. In 2008 and 2009 it took a dip due to the Great Recession; no big surprise there. But then since 2012 it has been… completely flat. If we take this graph at face value, it would imply that manufacturing workers today can produce no more output than workers five years ago, and indeed only about 10% more than workers a decade ago. Whereas, a worker in 2008 was producing over 60% more than a worker in 1998, who was producing over 40% more than a worker in 1988.

Many economists call this the “productivity paradox”, and use it to argue that we don’t really need to worry about robots taking all our jobs any time soon. I think this view is mistaken.

The way we measure productivity is fundamentally wrongheaded, and is probably the sole cause of this “paradox”.

First of all, we use total hours scheduled to work, not total hours actually doing productive work. This is obviously much, much easier to measure, which is why we do it. But if you think for a moment about how the 40-hour workweek norm is going to clash with rapidly rising real productivity, it becomes apparent why this isn’t going to be a good measure.
When a worker finds a way to get done in 10 hours what used to take 40 hours, what does that worker’s boss do? Send them home after 10 hours because the job is done? Give them a bonus for their creativity? Hardly. That would be far too rational. They assign them more work, while paying them exactly the same. Recognizing this, what is such a worker to do? The obvious answer is to pretend to work the other 30 hours, while in fact doing something more pleasant than working.
And indeed, so-called “worker distraction” has been rapidly increasing. People are right to blame smartphones, I suppose, but not for the reasons they think. It’s not that smartphones are inherently distracting devices. It’s that smartphones are the cutting edge of a technological revolution that has made most of our work time unnecessary, so due to our fundamentally defective management norms they create overwhelming incentives to waste time at work to avoid getting drenched in extra tasks for no money.

That would probably be enough to explain the “paradox” by itself, but there is a deeper reason that in the long run is even stronger. It has to do with the way we measure “output”.

It might surprise you to learn that economists almost never consider output in terms of the actual number of cars produced, buildings constructed, songs written, or software packages developed. The standard measures of output are all in the form of so-called “real GDP”; that is, the dollar value of output produced.

They do adjust for indexes of inflation, but as I’ll show in a moment this still creates a fundamentally biased picture of the productivity dynamics.

Consider a world with only three industries: Housing, Food, and Music.

Productivity in Housing doesn’t change at all. Producing a house cost 10,000 worker-hours in 1950, and cost 10,000 worker-hours in 2000. Nominal price of houses has rapidly increased, from $10,000 in 1950 to $200,000 in 2000.

Productivity in Food rises moderately fast. Producing 1,000 meals cost 1,000 worker-hours in 1950, and cost 100 worker-hours in 2000. Nominal price of food has increased slowly, from $1,000 per 1,000 meals in 1950 to $5,000 per 1,000 meals in 2000.

Productivity in Music rises extremely fast. Producing 1,000 performances cost 10,000 worker-hours in 1950, and cost 1 worker-hour in 2000. Nominal price of music has collapsed, from $100,000 per 1,000 performances in 1950 to $1,000 per 1,000 performances in 2000.

This is of course an extremely stylized version of what has actually happened: Housing has gotten way more expensive, food has stayed about the same in price while farm employment has plummeted, and the rise of digital music has brought about a new Renaissance in actual music production and listening while revenue for the music industry has collapsed. There is a very nice Vox article on the “productivity paradox” showing a graph of how prices have changed in different industries.

How would productivity appear in the world I’ve just described, by standard measures? Well, to say that I actually need to say something about how consumers substitute across industries. But I think I’ll be forgiven in this case for saying that there is no substitution whatsoever; you can’t eat music or live in a burrito. There’s also a clear Maslow hierarchy here: They say that man cannot live by bread alone, but I think living by Led Zeppelin alone is even harder.

Consumers will therefore choose like this: Over 10 years, buy 1 house, 10,000 meals, and as many performances as you can afford after that. Further suppose that each person had $2,100 per year to spend in 1940-1950, and $50,000 per year to spend in 1990-2000. (This is approximately true for actual nominal US GDP per capita.)

1940-1950:
Total funds: $21,000

1 house = $10,000

10,000 meals = $10,000

Remaining funds: $1,000

Performances purchased: 10

1990-2000:

Total funds: $500,000

1 house = $200,000

10,000 meals = $50,000

Remaining funds: $250,000

Performances purchased: 250,000

(Do you really listen to this much music? 250,000 performances over 10 years is about 70 songs per day. If each song is 3 minutes, that’s only about 3.5 hours per day. If you listen to music while you work or watch a couple of movies with musical scores, yes, you really do listen to this much music! The unrealistic part is assuming that people in 1950 listen to so little, given that radio was already widespread. But if you think of music as standing in for all media, the general trend of being able to consume vastly more media in the digital age is clearly correct.)

Now consider how we would compute a price index for each time period. We would construct a basket of goods and determine the price of that basket in each time period, then adjust prices until that basket has a constant price.

Here, the basket would probably be what people bought in 1940-1950: 1 house, 10,000 meals, and 400 music performances.

In 1950, this basket cost $10,000+$10,000+$100 = $21,000.

In 2000, this basket cost $200,000+$50,000+$400 = $150,400.

This means that our inflation adjustment is $150,400/$21,000 = 7 to 1. This means that we would estimate the real per-capita GDP in 1950 at about $14,700. And indeed, that’s about the actual estimate of real per-capita GDP in 1950.

So, what would we say about productivity?

Sales of houses in 1950 were 1 per person, costing 10,000 worker hours.

Sales of food in 1950 were 10,000 per person, costing 10,000 worker hours.

Sales of music in 1950 were 400 per person, costing 4,000 worker hours.

Worker hours per person are therefore 24,000.

Sales of houses in 2000 were 1 per person, costing 10,000 worker hours.

Sales of food in 2000 were 10,000 per person, costing 1,000 worker hours.

Sales of music in 2000 were 250,000 per person, costing 25,000 worker hours.

Worker hours per person are therefore 36,000.

Therefore we would estimate that productivity rose from $14,700/24,000 = $0.61 per worker-hour to $50,000/36,000 = $1.40 per worker-hour. This is an annual growth rate of about 1.7%, which is again, pretty close to the actual estimate of productivity growth. For such a highly stylized model, my figures are doing remarkably well. (Honestly, better than I thought they would!)

But think about how much actual productivity rose, at least in the industries where it did.

We produce 10 times as much food per worker hour after 50 years, which is an annual growth rate of 4.7%, or three times the estimated growth rate.

We produce 10,000 times as much music per worker hour after 50 years, which is an annual growth rate of over 20%, or almost twelve times the estimated growth rate.

Moreover, should music producers be worried about losing their jobs to automation? Absolutely! People simply won’t be able to listen to much more music than they already are, so any continued increases in music productivity are going to make musicians lose jobs. And that was already allowing for music consumption to increase by a factor of over 600.

Of course, the real world has a lot more industries than this, and everything is a lot more complicated. We do actually substitute across some of those industries, unlike in this model.

But I hope I’ve gotten at least the basic point across that when things become drastically cheaper as technological progress often does, simply adjusting for inflation doesn’t do the job. One dollar of music today isn’t the same thing as one dollar of music a century ago, even if you inflation-adjust their dollars to match ours. We ought to be measuring in hours of music; an hour of music is much the same thing as an hour of music a century ago.

And likewise, that secretary/weather forecaster/news reporter/accountant/musician/filmmaker in your pocket that you call a “smartphone” really ought to be counted as more than just a simple inflation adjustment on its market price. The fact that it is mind-bogglingly cheaper to get these services than it used to be is the technological progress we care about; it’s not some statistical artifact to be removed by proper measurement.

Combine that with actually measuring the hours of real, productive work, and I think you’ll find that productivity is still rising quite rapidly, and that we should still be worried about what automation is going to do to our jobs.

Why “marginal productivity” is no excuse for inequality

pnrj critique of neoclassical economics, development economics, ethics, 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.

Sometimes people have to lose their jobs. This isn’t a bad thing.

pnrj ethics, inequality, macroeconomics, public policy , , , , , , , , , , , , , , , , , , , , ,

Oct 8, JDN 2457670

Eleizer Yudkowsky (founder of the excellent blog forum Less Wrong) has a term he likes to use to distinguish his economic policy views from either liberal, conservative, or even libertarian: “econoliterate”, meaning the sort of economic policy ideas one comes up with when one actually knows a good deal about economics.

In general I think Yudkowsky overestimates this effect; I’ve known some very knowledgeable economists who disagree quite strongly over economic policy, and often following the conventional political lines of liberal versus conservative: Liberal economists want more progressive taxation and more Keynesian monetary and fiscal policy, while conservative economists want to reduce taxes on capital and remove regulations. Theoretically you can want all these things—as Miles Kimball does—but it’s rare. Conservative economists hate minimum wage, and lean on the theory that says it should be harmful to employment; liberal economists are ambivalent about minimum wage, and lean on the empirical data that shows it has almost no effect on employment. Which is more reliable? The empirical data, obviously—and until more economists start thinking that way, economics is never truly going to be a science as it should be.

But there are a few issues where Yudkowsky’s “econoliterate” concept really does seem to make sense, where there is one view held by most people, and another held by economists, regardless of who is liberal or conservative. One such example is free trade, which almost all economists believe in. A recent poll of prominent economists by the University of Chicago found literally zero who agreed with protectionist tariffs.

Another example is my topic for today: People losing their jobs.

Not unemployment, which both economists and almost everyone else agree is bad; but people losing their jobs. The general consensus among the public seems to be that people losing jobs is always bad, while economists generally consider it a sign of an economy that is run smoothly and efficiently.

To be clear, of course losing your job is bad for you; I don’t mean to imply that if you lose your job you shouldn’t be sad or frustrated or anxious about that, particularly not in our current system. Rather, I mean to say that policy which tries to keep people in their jobs is almost always a bad idea.

I think the problem is that most people don’t quite grasp that losing your job and not having a job are not the same thing. People not having jobs who want to have jobs—unemployment—is a bad thing. But losing your job doesn’t mean you have to stay unemployed; it could simply mean you get a new job. And indeed, that is what it should mean, if the economy is running properly.

Check out this graph, from FRED:

hires_separations

The red line shows hires—people getting jobs. The blue line shows separations—people losing jobs or leaving jobs. During a recession (the most recent two are shown on this graph), people don’t actually leave their jobs faster than usual; if anything, slightly less. Instead what happens is that hiring rates drop dramatically. When the economy is doing well (as it is right now, more or less), both hires and separations are at very high rates.

Why is this? Well, think about what a job is, really: It’s something that needs done, that no one wants to do for free, so someone pays someone else to do it. Once that thing gets done, what should happen? The job should end. It’s done. The purpose of the job was not to provide for your standard of living; it was to achieve the task at hand. Once it doesn’t need done, why keep doing it?

We tend to lose sight of this, for a couple of reasons. First, we don’t have a basic income, and our social welfare system is very minimal; so a job usually is the only way people have to provide for their standard of living, and they come to think of this as the purpose of the job. Second, many jobs don’t really “get done” in any clear sense; individual tasks are completed, but new ones always arise. After every email sent is another received; after every patient treated is another who falls ill.

But even that is really only true in the short run. In the long run, almost all jobs do actually get done, in the sense that no one has to do them anymore. The job of cleaning up after horses is done (with rare exceptions). The job of manufacturing vacuum tubes for computers is done. Indeed, the job of being a computer—that used to be a profession, young women toiling away with slide rules—is very much done. There are no court jesters anymore, no town criers, and very few artisans (and even then, they’re really more like hobbyists). There are more writers now than ever, and occasional stenographers, but there are no scribes—no one powerful but illiterate pays others just to write things down, because no one powerful is illiterate (and even few who are not powerful, and fewer all the time).

When a job “gets done” in this long-run sense, we usually say that it is obsolete, and again think of this as somehow a bad thing, like we are somehow losing the ability to do something. No, we are gaining the ability to do something better. Jobs don’t become obsolete because we can’t do them anymore; they become obsolete because we don’t need to do them anymore. Instead of computers being a profession that toils with slide rules, they are thinking machines that fit in our pockets; and there are plenty of jobs now for software engineers, web developers, network administrators, hardware designers, and so on as a result.

Soon, there will be no coal miners, and very few oil drillers—or at least I hope so, for the sake of our planet’s climate. There will be far fewer auto workers (robots have already done most of that already), but far more construction workers who install rail lines. There will be more nuclear engineers, more photovoltaic researchers, even more miners and roofers, because we need to mine uranium and install solar panels on rooftops.

Yet even by saying that I am falling into the trap: I am making it sound like the benefit of new technology is that it opens up more new jobs. Typically it does do that, but that isn’t what it’s for. The purpose of technology is to get things done.

Remember my parable of the dishwasher. The goal of our economy is not to make people work; it is to provide people with goods and services. If we could invent a machine today that would do the job of everyone in the world and thereby put us all out of work, most people think that would be terrible—but in fact it would be wonderful.

Or at least it could be, if we did it right. See, the problem right now is that while poor people think that the purpose of a job is to provide for their needs, rich people think that the purpose of poor people is to do jobs. If there are no jobs to be done, why bother with them? At that point, they’re just in the way! (Think I’m exaggerating? Why else would anyone put a work requirement on TANF and SNAP? To do that, you must literally think that poor people do not deserve to eat or have homes if they aren’t, right now, working for an employer. You can couch that in cold economic jargon as “maximizing work incentives”, but that’s what you’re doing—you’re threatening people with starvation if they can’t or won’t find jobs.)

What would happen if we tried to stop people from losing their jobs? Typically, inefficiency. When you aren’t allowed to lay people off when they are no longer doing useful work, we end up in a situation where a large segment of the population is being paid but isn’t doing useful work—and unlike the situation with a basic income, those people would lose their income, at least temporarily, if they quit and tried to do something more useful. There is still considerable uncertainty within the empirical literature on just how much “employment protection” (laws that make it hard to lay people off) actually creates inefficiency and reduces productivity and employment, so it could be that this effect is small—but even so, likewise it does not seem to have the desired effect of reducing unemployment either. It may be like minimum wage, where the effect just isn’t all that large. But it’s probably not saving people from being unemployed; it may simply be shifting the distribution of unemployment so that people with protected jobs are almost never unemployed and people without it are unemployed much more frequently. (This doesn’t have to be based in law, either; while it is made by custom rather than law, it’s quite clear that tenure for university professors makes tenured professors vastly more secure, but at the cost of making employment tenuous and underpaid for adjuncts.)

There are other policies we could make that are better than employment protection, active labor market policies like those in Denmark that would make it easier to find a good job. Yet even then, we’re assuming that everyone needs jobs–and increasingly, that just isn’t true.

So, when we invent a new technology that replaces workers, workers are laid off from their jobs—and that is as it should be. What happens next is what we do wrong, and it’s not even anybody in particular; this is something our whole society does wrong: All those displaced workers get nothing. The extra profit from the more efficient production goes entirely to the shareholders of the corporation—and those shareholders are almost entirely members of the top 0.01%. So the poor get poorer and the rich get richer.

The real problem here is not that people lose their jobs; it’s that capital ownership is distributed so unequally. And boy, is it ever! Here are some graphs I made of the distribution of net wealth in the US, using from the US Census.

Here are the quintiles of the population as a whole:

net_wealth_us

And here are the medians by race:

net_wealth_race

Medians by age:

net_wealth_age

Medians by education:

net_wealth_education

And, perhaps most instructively, here are the quintiles of people who own their homes versus renting (The rent is too damn high!)

net_wealth_rent

All that is just within the US, and already they are ranging from the mean net wealth of the lowest quintile of people under 35 (-$45,000, yes negative—student loans) to the mean net wealth of the highest quintile of people with graduate degrees ($3.8 million). All but the top quintile of renters are poorer than all but the bottom quintile of homeowners. And the median Black or Hispanic person has less than one-tenth the wealth of the median White or Asian person.

If we look worldwide, wealth inequality is even starker. Based on UN University figures, 40% of world wealth is owned by the top 1%; 70% by the top 5%; and 80% by the top 10%. There is less total wealth in the bottom 80% than in the 80-90% decile alone. According to Oxfam, the richest 85 individuals own as much net wealth as the poorest 3.7 billion. They are the 0.000,001%.

If we had an equal distribution of capital ownership, people would be happy when their jobs became obsolete, because it would free them up to do other things (either new jobs, or simply leisure time), while not decreasing their income—because they would be the shareholders receiving those extra profits from higher efficiency. People would be excited to hear about new technologies that might displace their work, especially if those technologies would displace the tedious and difficult parts and leave the creative and fun parts. Losing your job could be the best thing that ever happened to you.

The business cycle would still be a problem; we have good reason not to let recessions happen. But stopping the churn of hiring and firing wouldn’t actually make our society better off; it would keep people in jobs where they don’t belong and prevent us from using our time and labor for its best use.

Perhaps the reason most people don’t even think of this solution is precisely because of the extreme inequality of capital distribution—and the fact that it has more or less always been this way since the dawn of civilization. It doesn’t seem to even occur to most people that capital income is a thing that exists, because they are so far removed from actually having any amount of capital sufficient to generate meaningful income. Perhaps when a robot takes their job, on some level they imagine that the robot is getting paid, when of course it’s the shareholders of the corporations that made the robot and the corporations that are using the robot in place of workers. Or perhaps they imagine that those shareholders actually did so much hard work they deserve to get paid that money for all the hours they spent.

Because pay is for work, isn’t it? The reason you get money is because you’ve earned it by your hard work?

No. This is a lie, told to you by the rich and powerful in order to control you. They know full well that income doesn’t just come from wages—most of their income doesn’t come from wages! Yet this is even built into our language; we say “net worth” and “earnings” rather than “net wealth” and “income”. (Parade magazine has a regular segment called “What People Earn”; it should be called “What People Receive”.) Money is not your just reward for your hard work—at least, not always.

The reason you get money is that this is a useful means of allocating resources in our society. (Remember, money was created by governments for the purpose of facilitating economic transactions. It is not something that occurs in nature.) Wages are one way to do that, but they are far from the only way; they are not even the only way currently in use. As technology advances, we should expect a larger proportion of our income to go to capital—but what we’ve been doing wrong is setting it up so that only a handful of people actually own any capital.

Fix that, and maybe people will finally be able to see that losing your job isn’t such a bad thing; it could even be satisfying, the fulfillment of finally getting something done.

Should we give up on growth?

pnrj core principles, development economics, ethics, futurism, macroeconomics, public policy , , , , , , , , , , , , , , , , , , , ,

JDN 2457572

Recently I read this article published by the Post Carbon Institute, “How to Shrink the Economy without Crashing It”, which has been going around environmentalist circles. (I posted on Facebook that I’d answer it in more detail, so here goes.)

This is the far left view on climate change, which is wrong, but not nearly as wrong as even the “mainstream” right-wing view that climate change is not a serious problem and we should continue with business as usual. Most of the Republicans who ran for President this year didn’t believe in using government action to fight climate change, and Donald Trump doesn’t even believe it exists.
This core message of the article is clearly correct:

We know this because Global Footprint Network, which methodically tracks the relevant data, informs us that humanity is now using 1.5 Earths’ worth of resources.

We can temporarily use resources faster than Earth regenerates them only by borrowing from the future productivity of the planet, leaving less for our descendants. But we cannot do this for long.

To be clear, “using 1.5 Earths” is not as bad as it sounds; spending is allow to exceed income at times, as long as you have reason to think that future income will exceed future spending, and this is true not just of money but also of natural resources. You can in fact “borrow from the future”, provided you do actually have a plan to pay it back. And indeed there has been some theoretical work by environmental economists suggesting that we are rightly still in the phase of net ecological dissaving, and won’t enter the phase of net ecological saving until the mid-21st century when our technology has made us two or three times as productive. This optimal path is defined by a “weak sustainability” condition where total real wealth never falls over time, so any natural wealth depleted is replaced by at least as much artificial wealth.

Of course some things can’t be paid back; while forests depleted can be replanted, if you drive species to extinction, only very advanced technology could restore them. And we are driving thousands of species to extinction every single year. Even if we should be optimally dissaving, we are almost certainly depleting natural resources too fast, and depleting natural resources that will be difficult if not impossible to later restore. In that sense, the Post Carbon Institute is right: We must change course toward ecological sustainability.

Unfortunately, their specific ideas of how to do so leave much to be desired. Beyond ecological sustainability, they really argue for two propositions: one is radical but worth discussing, but the other is totally absurd.

The absurd claim is that we should somehow force the world to de-urbanize and regress into living in small farming villages. To show this is a bananaman and not a strawman, I quote:

8. Re-localize. One of the difficulties in the transition to renewable energy is that liquid fuels are hard to substitute. Oil drives nearly all transportation currently, and it is highly unlikely that alternative fuels will enable anything like current levels of mobility (electric airliners and cargo ships are non-starters; massive production of biofuels is a mere fantasy). That means communities will be obtaining fewer provisions from far-off places. Of course trade will continue in some form: even hunter-gatherers trade. Re-localization will merely reverse the recent globalizing trade trend until most necessities are once again produced close by, so that we—like our ancestors only a century ago—are once again acquainted with the people who make our shoes and grow our food.

9. Re-ruralize. Urbanization was the dominant demographic trend of the 20th century, but it cannot be sustained. Indeed, without cheap transport and abundant energy, megacities will become increasingly dysfunctional. Meanwhile, we’ll need lots more farmers. Solution: dedicate more societal resources to towns and villages, make land available to young farmers, and work to revitalize rural culture.

First of all: Are electric cargo ships non-starters? The Ford-class aircraft carrier is electric, specifically nuclear. Nuclear-powered cargo ships would raise a number of issues in terms of practicality, safety, and regulation, but they aren’t fundamentally infeasible. Massive efficient production of biofuels is a fantasy as long as the energy to do it is provided by coal power, but not if it’s provided by nuclear. Perhaps this author’s concept of “infeasible” really just means “infeasible if I can’t get over my irrational fear of nuclear power”. Even electric airliners are not necessarily out of the question; NASA has been experimenting with electric aircraft.

The most charitable reading I can give of this (in my terminology of argument “men”, I’m trying to make a banana out of iron), is as promoting slightly deurbanizing and going back to more like say the 1950s United States, with 64% of people in cities instead of 80% today. Even then this makes less than no sense, as higher urbanization is associated with lower per-capita ecological impact, which frankly shouldn’t even be surprising because cities have such huge economies of scale. Instead of everyone needing a car to get around in the suburbs, we can all share a subway system in the city. If that subway system is powered by a grid of nuclear, solar, and wind power, it could produce essentially zero carbon emissions—which is absolutely impossible for rural or suburban transportation. Urbanization is also associated with slower population growth (or even population decline), and indeed the reason population growth is declining is that rising standard of living and greater urbanization have reduced birth rates and will continue to do so as poor countries reach higher levels of development. Far from being a solution to ecological unsustainability, deurbanization would make it worse.

And that’s not even getting into the fact that you would have to force urban white-collar workers to become farmers, because if we wanted to be farmers we already would be (the converse is not as true), and now you’re actually talking about some kind of massive forced labor-shift policy like the Great Leap Forward. Normally I’m annoyed when people accuse environmentalists of being totalitarian communists, but in this case, I think the accusation might be onto something.

Moving on, the radical but not absurd claim is that we must turn away from economic growth and even turn toward economic shrinkage:

One way or another, the economy (and here we are talking mostly about the economies of industrial nations) must shrink until it subsists on what Earth can provide long-term.

[…]

If nothing is done deliberately to reverse growth or pre-adapt to inevitable economic stagnation and contraction, the likely result will be an episodic, protracted, and chaotic process of collapse continuing for many decades or perhaps centuries, with innumerable human and non-human casualties.

I still don’t think this is right, but I understand where it’s coming from, and like I said it’s worth talking about.

The biggest mistake here lies in assuming that GDP is directly correlated to natural resource depletion, so that the only way to reduce natural resource depletion is to reduce GDP. This is not even remotely true; indeed, countries vary almost as much in their GDP-per-carbon-emission ratio as they do in their per-capita GDP. As usual, #ScandinaviaIsBetter; Norway and Sweden produce about $8,000 in GDP per ton of carbon, while the US produces only about $2,000 per ton. Both poor and rich countries can be found among both the inefficient and the efficient. Saudi Arabia is very rich and produces about $900 per ton, while Liberia is exceedingly poor and produces about $800 per ton. I already mentioned how Norway produces $8,000 per ton, and they are as rich as Saudi Arabia. Yet above them is Mali, which produces almost $11,000 per ton, and is as poor as Liberia. Other notable facts: France is head and shoulders above the UK and Germany at almost $6000 per ton instead of $4300 and $3600 respectively—because France runs almost entirely on nuclear power.

So the real conclusion to draw from this is not that we need to shrink GDP, but that we need to make GDP more like how they do it in Norway or at least how they do it in France, rather than how we do in the US, and definitely not how they do it in Saudi Arabia. Total world emissions are currently about 36 billion tons per year, producing about $108 trillion in GDP, averaging about $3,000 of GDP per ton of carbon emissions. If we could raise the entire world to the ecological efficiency of Norway, we could double world GDP and still be producing less CO2 than we currently are. Turning the entire planet into a bunch of Norways would indeed raise CO2 output, by about a factor of 2; but it would raise standard of living by a factor of 5, and indeed bring about a utopian future with neither war nor hunger. Compare this to the prospect of cutting world GDP in half, but producing it as inefficiently as in Saudi Arabia: This would actually increase global CO2 emissions, almost as much as turning every country into Norway.

But ultimately we will in fact need to slow down or even end economic growth. I ran a little model for you, which shows a reasonable trajectory for global economic growth.

This graph shows the growth rate in productivity slowly declining, along with a much more rapidly declining GDP growth:

Solow_growth

This graph shows the growth trajectory for total real capital and GDP:

Solow_capital

And finally, this is the long-run trend for GDP graphed on a log scale:

Solow_logGDP

The units are arbitrary, though it’s not unreasonable to imagine them as being years and hundreds of dollars in per-capita GDP. If that is indeed what you imagine them to be, my model shows us the Star Trek future: In about 300 years, we rise from a per-capita GDP of $10,000 to one of $165,000—from a world much like today to a world where everyone is a millionaire.

Notice that the growth rate slows down a great deal fairly quickly; by the end of 100 years (i.e., the end of the 21st century), growth has slowed from its peak over 10% to just over 2% per year. By the end of the 300-year period, the growth rate is a crawl of only 0.1%.

Of course this model is very simplistic, but I chose it for a very specific reason: This is not a radical left-wing environmentalist model involving “limits to growth” or “degrowth”. This is the Solow-Swan model, the paradigm example of neoclassical models of economic growth. It is sometimes in fact called simply “the neoclassical growth model”, because it is that influential. I made one very small change from the usual form, which was to assume that the rate of productivity growth would decline exponentially over time. Since productivity growth is exogenous to the model, this is a very simple change to make; it amounts to saying that productivity-enhancing technology is subject to diminishing returns, which fits recent data fairly well but could be totally wrong if something like artificial intelligence or neural enhancement ever takes off.

I chose this because many environmentalists seem to think that economists have this delusional belief that we can maintain a rate of economic growth equal to today indefinitely. David Attenborough famously said “Anyone who believes in indefinite growth in anything physical, on a physically finite planet, is either mad – or an economist.”

Another physicist argued that if we increase energy consumption 2.3% per year for 400 years, we’d literally boil the Earth. Yes, we would, and no economist I know of believes that this is what will happen. Economic growth doesn’t require energy growth, and we do not think growth can or should continue indefinitely—we just think it can and should continue a little while longer. We don’t think that a world standard of living 1000 times as good as Norway is going to happen; we think that a world standard of living equal to Norway is worth fighting for.

Indeed, we are often the ones trying to explain to leaders that they need to adapt to slower growth rates—this is particularly a problem in China, where nationalism and groupthink seems to have convinced many people in China that 7% annual growth is the result of some brilliant unique feature of the great Chinese system, when it is in fact simply the expected high growth rate for an economy that is very poor and still catching up by establishing a capital base. (It’s not so much what they are doing right now, as what they were doing wrong before. Just as you feel a lot better when you stop hitting yourself in the head, countries tend to grow quite fast after they transition out of horrifically terrible economic policy—and it doesn’t get much more terrible than Mao.) Even a lot of the IMF projections are now believed to be too optimistic, because they didn’t account for how China was fudging the numbers and rapidly depleting natural resources.

Some of the specific policies recommended in the article are reasonable, while others go to far.

1. Energy: cap, reduce, and ration it. Energy is what makes the economy go, and expanded energy consumption is what makes it grow. Climate scientists advocate capping and reducing carbon emissions to prevent planetary disaster, and cutting carbon emissions inevitably entails reducing energy from fossil fuels. However, if we aim to shrink the size of the economy, we should restrain not just fossil energy, but all energy consumption. The fairest way to do that would probably be with tradable energy quotas.

I strongly support cap-and-trade on fossil fuels, but I can’t support it on energy in general, unless we get so advanced that we’re seriously concerned about significantly altering the entropy of the universe. Solar power does not have negative externalities, and therefore should not be taxed or capped.

The shift to renewable energy sources is a no-brainer, and I know of no ecologist and few economists who would disagree.

This one is rich, coming from someone who goes on to argue for nonsensical deurbanization:

However, this is a complicated process. It will not be possible merely to unplug coal power plants, plug in solar panels, and continue with business as usual: we have built our immense modern industrial infrastructure of cities, suburbs, highways, airports, and factories to take advantage of the unique qualities and characteristics of fossil fuels.

How will we make our industrial infrastructure run off a solar grid? Urbanization. When everything is in one place, you can use public transportation and plug everything into the grid. We could replace the interstate highway system with a network of maglev lines, provided that almost everyone lived in major cities that were along those lines. We can’t do that if people move out of cities and go back to being farmers.

Here’s another weird one:

Without continued economic growth, the market economy probably can’t function long. This suggests we should run the transformational process in reverse by decommodifying land, labor, and money.

“Decommodifying money”? That’s like skinning leather or dehydrating water. The whole point of money is that it is a maximally fungible commodity. I support the idea of a land tax to provide a basic income, which could go a long way to decommodifying land and labor; but you can’t decommodify money.

The next one starts off sounding ridiculous, but then gets more reasonable:

4. Get rid of debt. Decommodifying money means letting it revert to its function as an inert medium of exchange and store of value, and reducing or eliminating the expectation that money should reproduce more of itself. This ultimately means doing away with interest and the trading or manipulation of currencies. Make investing a community-mediated process of directing capital toward projects that are of unquestioned collective benefit. The first step: cancel existing debt. Then ban derivatives, and tax and tightly regulate the buying and selling of financial instruments of all kinds.

No, we’re not going to get rid of debt. But should we regulate it more? Absolutely. A ban on derivatives is strong, but shouldn’t be out of the question; it’s not clear that even the most useful derivatives (like interest rate swaps and stock options) bring more benefit than they cause harm.

The next proposal, to reform our monetary system so that it is no longer based on debt, is one I broadly agree with, though you need to be clear about how you plan to do that. Positive Money’s plan to make central banks democratically accountable, establish full-reserve banking, and print money without trying to hide it in arcane accounting mechanisms sounds pretty good to me. Going back to the gold standard or something would be a terrible idea. The article links to a couple of “alternative money theorists”, but doesn’t explain further.

Sooner or later, we absolutely will need to restructure our macroeconomic policy so that 4% or even 2% real growth is no longer the expectation in First World countries. We will need to ensure that constant growth isn’t necessary to maintain stability and full employment.

But I believe we can do that, and in any case we do not want to stop global growth just yet—far from it. We are now on the verge of ending world hunger, and if we manage to do it, it will be from economic growth above all else.

Why is Tatooine poor?

pnrj development economics, futurism, public policy , , , , , , , , , , , , , , , , , , , , , ,

JDN 2457513—May 4, 2016

May the Fourth be with you.

In honor of International Star Wars Day, this post is going to be about Star Wars!

[I wanted to include some images from Star Wars, but here are the copyright issues that made me decide it ultimately wasn’t a good idea.]

But this won’t be as frivolous as it may sound. Star Wars has a lot of important lessons to teach us about economics and other social sciences, and its universal popularity gives us common ground to start with. I could use Zimbabwe and Botswana as examples, and sometimes I do; but a lot of people don’t know much about Zimbabwe and Botswana. A lot more people know about Tatooine and Naboo, so sometimes it’s better to use those instead.

In fact, this post is just a small sample of a much larger work to come; several friends of mine who are social scientists in different fields (I am of course the economist, and we also have a political scientist, a historian, and a psychologist) are writing a book about this; we are going to use Star Wars as a jumping-off point to explain some real-world issues in social science.

So, my topic for today, which may end up forming the basis for a chapter of the book, is quite simple:
Why is Tatooine poor?

First, let me explain why this is such a mystery to begin with. We’re so accustomed to poverty being in the world that we expect to see it, we think of it as normal—and for most of human history, that was probably the correct attitude to have. Up until at least the Industrial Revolution, there simply was no way of raising the standard of living of most people much beyond bare subsistence. A wealthy few could sometimes live better, and most societies have had such an elite; but it was never more than about 1% of the population—and sometimes as little as 0.01%. They could have distributed wealth more evenly than they did, but there simply wasn’t that much to go around.

The “prosperous” “democracy” of Periclean Athens for example was really an aristocratic oligarchy, in which the top 1%—the ones who could read and write, and hence whose opinions we read—owned just about everything (including a fair number of the people—slavery). Their “democracy” was a voting system that only applied to a small portion of the population.

But now we live in a very different age, the Information Age, where we are absolutely basking in wealth thanks to enormous increases in productivity. Indeed, the standard of living of an Athenian philosopher was in many ways worse than that of a single mother on Welfare in the United States today; certainly the single mom has far better medicine, communication, and transportation than the philosopher, but she may even have better nutrition and higher education. Really the only things I can think of that the philosopher has more of are jewelry and real estate. The single mom also surely spends a lot more time doing housework, but a good chunk of her work is automated (dishwasher, microwave, washing machine), while the philosopher simply has slaves for that sort of thing. The smartphone in her pocket (81% of poor households in the US have a cellphone, and about half of these are smartphones) and the car in her driveway (75% of poor households in the US own at least one car) may be older models in disrepair, but they would still be unimaginable marvels to that ancient philosopher.

How is it, then, that we still have poverty in this world? Even if we argued that the poverty line in First World countries is too high because they have cars and smartphones (not an argument I agree with by the way—given our enormous productivity there’s no reason everyone shouldn’t have a car and a smartphone, and the main thing that poor people still can’t afford is housing), there are still over a billion people in the world today who live on less than $2 per day in purchasing-power-adjusted real income. That is poverty, no doubt about it. Indeed, it may in fact be a lower standard of living than most human beings had when we were hunter-gatherers. It may literally be a step downward from the Paleolithic.

Here is where Tatooine may give us some insights.

Productivity in the Star Wars universe is clearly enormous; indeed the proportional gap between Star Wars and us appears to be about the same as the proportional gap between us and hunter-gatherer times. The Death Star II had a diameter of 160 kilometers. Its cost is listed as “over 1 trillion credits”, but that’s almost meaningless because we have no idea what the exchange rate is or how the price of spacecraft varies relative to the price of other goods. (Spacecraft actually seem to be astonishingly cheap; in A New Hope it seems to be that a drink is a couple of credits while 10,000 credits is almost enough to buy an inexpensive starship. Basically their prices seem to be similar to ours for most goods, but spaceships are so cheap they are priced like cars instead of like, well, spacecraft.)

So let’s look at it another way: How much metal would it take to build such a thing, and how much would that cost in today’s money?

We actually see quite a bit of the inner structure of the Death Star II in Return of the Jedi, so I can hazard a guess that about 5% of the volume of the space station is taken up by solid material. Who knows what it’s actually made out of, but for a ballpark figure let’s assume it’s high-grade steel. The volume of a 160 km diameter sphere is 4*pi*r^3 = 4*(3.1415)*(80,000)^3 = 6.43 quadrillion cubic meters. If 5% is filled with material, that’s 320 trillion cubic meters. High-strength steel has a density of about 8000 kg/m^3, so that’s 2.6 quintillion kilograms of steel. A kilogram of high-grade steel costs about $2, so we’re looking at $5 quintillion as the total price just for the raw material of the Death Star II. That’s $5,000,000,000,000,000,000. I’m not even including the labor (droid labor, that is) and transportation costs (oh, the transportation costs!), so this is a very conservative estimate.

To get a sense of how ludicrously much money this is, the population of Coruscant is said to be over 1 trillion people, which is just about plausible for a city that covers an entire planet. The population of the entire galaxy is supposed to be about 400 quadrillion.

Suppose that instead of building the Death Star II, Emperor Palpatine had decided to give a windfall to everyone on Coruscant. How much would he have given each person (in our money)? $5 million.

Suppose instead he had offered the windfall to everyone in the galaxy? $12.50 per person. That’s 50 million worlds with an average population of 8 billion each. Instead of building the Death Star II, Palpatine could have bought the whole galaxy lunch.

Put another way, the cost I just estimated for the Death Star II is about 60 million times the current world GDP. So basically if the average world in the Empire produced as much as we currently produce on Earth, there would still not be enough to build that thing. In order to build the Death Star II in secret, it must be a small portion of the budget, maybe 5% tops. In order for only a small number of systems to revolt, the tax rates can’t be more than say 50%, if that; so total economic output on the average world in the Empire must in fact be more like 50 times what it is on Earth today, for a comparable average population. This puts their per-capita GDP somewhere around $500,000 per person per year.

So, economic output is extremely high in the Star Wars universe. Then why is Tatooine poor? If there’s enough output to make basically everyone a millionaire, why haven’t they?

In a word? Power.

Political power is of course very unequally distributed in the Star Wars universe, especially under the Empire but also even under the Old Republic and New Republic.

Core Worlds like Coruscant appear to have fairly strong centralized governments, and at least until the Emperor seized power and dissolved the Senate (as Tarkin announces in A New Hope) they also seemed to have fairly good representation in the Galactic Senate (though how you make a functioning Senate with millions of member worlds I have no idea—honestly, maybe they didn’t). As a result, Core Worlds are prosperous. Actually, even Naboo seems to be doing all right despite being in the Mid Rim, because of their strong and well-managed constitutional monarchy (“elected queen” is not as weird as it sounds—Sweden did that until the 16th century). They often talk about being a “democracy” even though they’re technically a constitutional monarchy—but the UK and Norway do the same thing with if anything less justification.

But Outer Rim Worlds like Tatooine seem to be out of reach of the central galactic government. (Oh, by the way, what hyperspace route drops you off at Tatooine if you’re going from Naboo to Coruscant? Did they take a wrong turn in addition to having engine trouble? “I knew we should have turned left at Christophsis!”) They even seem to be out of range of the monetary system (“Republic credits are no good out here,” said Watto in The Phantom Menace.), which is pretty extreme. That doesn’t usually happen—if there is a global hegemon, usually their money is better than gold. (“good as gold” isn’t strong enough—US money is better than gold, and that’s why people will accept negative real interest rates to hold onto it.) I guarantee you that if you want to buy something with a US $20 bill in Somalia or Zimbabwe, someone will take it. They might literally take it—i.e. steal it from you, and the government may not do anything to protect you—but it clearly will have value.

So, the Outer Rim worlds are extremely isolated from the central government, and therefore have their own local institutions that operate independently. Tatooine in particular appears to be controlled by the Hutts, who in turn seem to have a clan-based system of organized crime, similar to the Mafia. We never get much detail about the ins and outs of Hutt politics, but it seems pretty clear that Jabba is particularly powerful and may actually be the de facto monarch of a sizeable region or even the whole planet.

Jabba’s government is at the very far extreme of what Daron Acemoglu calls extractive regimes (I’ve been reading his tome Why Nations Fail, and while I agree with its core message, honestly it’s not very well-written or well-argued), systems of government that exist not to achieve overall prosperity or the public good, but to enrich a small elite few at the expense of everyone else. The opposite is inclusive regimes, under which power is widely shared and government exists to advance the public good. Real-world systems are usually somewhere in between; the US is still largely inclusive, but we’ve been getting more extractive over the last few decades and that’s a big problem.

Jabba himself appears to be fantastically wealthy, although even his huge luxury hover-yacht (…thing) is extremely ugly and spartan inside. I infer that he could have made it look however he wanted, and simply has baffling tastes in decor. The fact that he seems to be attracted to female humanoids is already pretty baffling, given the obvious total biological incompatibility; so Jabba is, shall we say, a weird dude. Eccentricity is quite common among despots of extractive regimes, as evidenced by Muammar Qaddafi’s ostentatious outfits, Idi Amin’s love of oranges and Kentucky Fried Chicken, and Kim Jong-Un’s fear of barbers and bond with Dennis Rodman. Maybe we would all be this eccentric if we had unlimited power, but our need to fit in with the rest of society suppresses it.

It’s difficult to put a figure on just how wealthy Jabba is, but it isn’t implausible to say that he has a million times as much as the average person on Tatooine, just as Bill Gates has a million times as much as the average person in the US. Like Qaddafi, before he was killed he probably feared that establishing more inclusive governance would only reduce his power and wealth and spread it to others, even if it did increase overall prosperity.
It’s not hard to make the figures work out so that is so. Suppose that for every 1% of the economy that is claimed by a single rentier despot, overall economic output drops by the same 1%. Then for concreteness, suppose that at optimal efficiency, the whole economy could produce $1 trillion. The amount of money that the despot can claim is determined by the portion he tries to claim, p, times the total amount that the economy will produce, which is (1-p) trillion dollars. So the despot’s wealth will be maximized when p(1-p) is maximized, which is p = 1/2; so the despot would maximize his own wealth at $250 billion if he claimed half of the economy, even though that also means that the economy produces half as much as it could. If he loosened his grip and claimed a smaller share, millions of his subjects would benefit; but he himself would lose more money than he gained. (You can also adjust these figures so that the “optimal” amount for the despot to claim is larger or smaller than half, depending on how severely the rent-seeking disrupts overall productivity.)

It’s important to note that it is not simply geography (galactography?) that makes Tatooine poor. Their sparse, hot desert may be less productive agriculturally, but that doesn’t mean that Tatooine is doomed to poverty. Indeed, today many of the world’s richest countries (such as Qatar) are in deserts, because they produce huge quantities of oil.

I doubt that oil would actually be useful in the Old Republic or the Empire, but energy more generally seems like something you’d always need. Tatooine has enormous flat desert plains and two suns, meaning that its potential to produce solar energy has to be huge. They couldn’t export the energy directly of course, but they could do so indirectly—the cheaper energy could allow them to build huge factories and produce starships at a fraction of the cost that other planets do. They could then sell these starships as exports and import water from planets where it is abundant like Naboo, instead of trying to produce their own water locally through those silly (and surely inefficient) moisture vaporators.

But Jabba likely has fought any efforts to invest in starship production, because it would require a more educated workforce that’s more likely to unionize and less likely to obey his every command. He probably has established a high tariff on water imports (or even banned them outright), so that he can maintain control by rationing the water supply. (Actually one thing I would have liked to see in the movies was Jabba being periodically doused by slaves with vats of expensive imported water. It would not only show an ostentatious display of wealth for a desert culture, but also serve the much more mundane function of keeping his sensitive gastropod skin from dangerously drying out. That’s why salt kills slugs, after all.) He also probably suppressed any attempt to establish new industries of any kind of Tatooine, fearing that with new industry could come a new balance of power.

The weirdest part to me is that the Old Republic didn’t do something about it. The Empire, okay, sure; they don’t much care about humanitarian concerns, so as long as Tatooine is paying its Imperial taxes and staying out of the Emperor’s way maybe he leaves them alone. But surely the Republic would care that this whole planet of millions if not billions of people is being oppressed by the Hutts? And surely the Republic Navy is more than a match for whatever pitiful military forces Jabba and his friends can muster, precisely because they haven’t established themselves as the shipbuilding capital of the galaxy? So why hasn’t the Republic deployed a fleet to Tatooine to unseat the Hutts and establish democracy? (It could be over pretty fast; we’ve seen that one good turbolaser can destroy Jabba’s hover-yacht—and it looks big enough to target from orbit.)

But then, we come full circle, back to the real world: Why hasn’t the US done the same thing in Zimbabwe? Would it not actually work? We sort of tried it in Libya—a lot of people died, and results are still pending I guess. But doesn’t it seem like we should be doing something?

Will robots take our jobs?

pnrj core principles, critique of neoclassical economics, futurism, Uncategorized , , , , , , , , , , , , , , , ,

JDN 2457451
I briefly discussed this topic before, but I thought it deserved a little more depth. Also, the SF author in me really likes writing this sort of post where I get to speculate about futures that are utopian, dystopian, or (most likely) somewhere in between.

The fear is quite widespread, but how realistic is it? Will robots in fact take all our jobs?

Most economists do not think so. Robert Solow famously quipped, “You can see the computer age everywhere but in the productivity statistics.” (It never quite seemed to occur to him that this might be a flaw in the way we measure productivity statistics.)

By the usual measure of labor productivity, robots do not appear to have had a large impact. Indeed, their impact appears to have been smaller than almost any other major technological innovation.

Using BLS data (which was formatted badly and thus a pain to clean, by the way—albeit not as bad as the World Bank data I used on my master’s thesis, which was awful), I made this graph of the growth rate of labor productivity as usually measured:

Productivity_growth

The fluctuations are really jagged due to measurement errors, so I also made an annually smoothed version:

Productivity_growth_smooth

Based on this standard measure, productivity has grown more or less steadily during my lifetime, fluctuating with the business cycle around a value of about 3.5% per year (3.4 log points). If anything, the growth rate seems to be slowing down; in recent years it’s been around 1.5% (1.5 lp).

This was clearly the time during which robots became ubiquitous—autonomous robots did not emerge until the 1970s and 1980s, and robots became widespread in factories in the 1980s. Then there’s the fact that computing power has been doubling every 1.5 years during this period, which is an annual growth rate of 59% (46 lp). So why hasn’t productivity grown at anywhere near that rate?

I think the main problem is that we’re measuring productivity all wrong. We measure it in terms of money instead of in terms of services. Yes, we try to correct for inflation; but we fail to account for the fact that computers have allowed us to perform literally billions of services every day that could not have been performed without them. You can’t adjust that away by plugging into the CPI or the GDP deflator.

Think about it: Your computer provides you the services of all the following:

  1. A decent typesetter and layout artist
  2. A truly spectacular computer (remember, that used to be a profession!)
  3. A highly skilled statistician (who takes no initiative—you must tell her what calculations to do)
  4. A painting studio
  5. A photographer
  6. A video camera operator
  7. A professional orchestra of the highest quality
  8. A decent audio recording studio
  9. Thousands of books, articles, and textbooks
  10. Ideal seats at every sports stadium in the world

And that’s not even counting things like social media and video games that can’t even be readily compared to services that were provided before computers.

If you added up the value of all of those jobs, the amount you would have had to pay in order to hire all those people to do all those things for you before computers existed, your computer easily provides you with at least $1 million in professional services every year. Put another way, your computer has taken jobs that would have provided $1 million in wages. You do the work of a hundred people with the help of your computer.

This isn’t counted in our productivity statistics precisely because it’s so efficient. If we still had to pay that much for all these services, it would be included in our GDP and then our GDP per worker would properly reflect all this work that is getting done. But then… whom would we be paying? And how would we have enough to pay that? Capitalism isn’t actually set up to handle this sort of dramatic increase in productivity—no system is, really—and thus the market price for work has almost no real relation to the productive capacity of the technology that makes that work possible.

Instead it has to do with scarcity of work—if you are the only one in the world who can do something (e.g. write Harry Potter books), you can make an awful lot of money doing that thing, while something that is far more important but can be done by almost anyone (e.g. feed babies) will pay nothing or next to nothing. At best we could say it has to do with marginal productivity, but marginal in the sense of your additional contribution over and above what everyone else could already do—not in the sense of the value actually provided by the work that you are doing. Anyone who thinks that markets automatically reward hard work or “pay you what you’re worth” clearly does not understand how markets function in the real world.

So, let’s ask again: Will robots take our jobs?

Well, they’ve already taken many jobs already. There isn’t even a clear high-skill/low-skill dichotomy here; robots are just as likely to make pharmacists obsolete as they are truck drivers, just as likely to replace surgeons as they are cashiers.

Labor force participation is declining, though slowly:

Labor_force_participation

Yet I think this also underestimates the effect of technology. As David Graeber points out, most of the new jobs we’ve been creating seem to be for lack of a better term bullshit jobs—jobs that really don’t seem like they need to be done, other than to provide people with something to do so that we can justify paying them salaries.

As he puts it:

Again, an objective measure is hard to find, but one easy way to get a sense is to ask: what would happen were this entire class of people to simply disappear? Say what you like about nurses, garbage collectors, or mechanics, it’s obvious that were they to vanish in a puff of smoke, the results would be immediate and catastrophic. A world without teachers or dock-workers would soon be in trouble, and even one without science fiction writers or ska musicians would clearly be a lesser place. It’s not entirely clear how humanity would suffer were all private equity CEOs, lobbyists, PR researchers, actuaries, telemarketers, bailiffs or legal consultants to similarly vanish. (Many suspect it might markedly improve.)

The paragon of all bullshit jobs is sales. Sales is a job that simply should not exist. If something is worth buying, you should be able to present it to the market and people should choose to buy it. If there are many choices for a given product, maybe we could have some sort of independent product rating agencies that decide which ones are the best. But sales means trying to convince people to buy your product—you have an absolutely overwhelming conflict of interest that makes your statements to customers so utterly unreliable that they are literally not even information anymore. The vast majority of advertising, marketing, and sales is thus, in a fundamental sense, literally noise. Sales contributes absolutely nothing to our economy, and because we spend so much effort on it and advertising occupies so much of our time and attention, takes a great deal away. But sales is one of our most steadily growing labor sectors; once we figure out how to make things without people, we employ the people in trying to convince customers to buy the new things we’ve made. Sales is also absolutely miserable for many of the people who do it, as I know from personal experience in two different sales jobs that I had to quit before the end of the first week.

Fortunately we have not yet reached the point where sales is the fastest growing labor sector. Currently the fastest-growing jobs fall into three categories: Medicine, green energy, and of course computers—but actually mostly medicine. Yet even this is unlikely to last; one of the easiest ways to reduce medical costs would be to replace more and more medical staff with automated systems. A nursing robot may not be quite as pleasant as a real professional nurse—but if by switching to robots the hospital can save several million dollars a year, they’re quite likely to do so.

Certain tasks are harder to automate than others—particularly anything requiring creativity and originality is very hard to replace, which is why I believe that in the 2050s or so there will be a Revenge of the Humanities Majors as all the supposedly so stable and forward-thinking STEM jobs disappear and the only jobs that are left are for artists, authors, musicians, game designers and graphic designers. (Also, by that point, very likely holographic designers, VR game designers, and perhaps even neurostim artists.) Being good at math won’t mean anything anymore—frankly it probably shouldn’t right now. No human being, not even great mathematical savants, is anywhere near as good at arithmetic as a pocket calculator. There will still be a place for scientists and mathematicians, but it will be the creative aspects of science and math that persist—design of experiments, development of new theories, mathematical intuition to develop new concepts. The grunt work of cleaning data and churning through statistical models will be fully automated.

Most economists appear to believe that we will continue to find tasks for human beings to perform, and this improved productivity will simply raise our overall standard of living. As any ECON 101 textbook will tell you, “scarcity is a fundamental fact of the universe, because human needs are unlimited and resources are finite.”

In fact, neither of those claims are true. Human needs are not unlimited; indeed, on Maslow’s hierarchy of needs First World countries have essentially reached the point where we could provide the entire population with the whole pyramid, guaranteed, all the time—if we were willing and able to fundamentally reform our economic system.

Resources are not even finite; what constitutes a “resource” depends on technology, as does how accessible or available any given source of resources will be. When we were hunter-gatherers, our only resources were the plants and animals around us. Agriculture turned seeds and arable land into a vital resource. Whale oil used to be a major scarce resource, until we found ways to use petroleum. Petroleum in turn is becoming increasingly irrelevant (and cheap) as solar and wind power mature. Soon the waters of the oceans themselves will be our power source as we refine the deuterium for fusion. Eventually we’ll find we need something for interstellar travel that we used to throw away as garbage (perhaps it will in fact be dilithium!) I suppose that if the universe is finite or if FTL is impossible, we will be bound by what is available in the cosmic horizon… but even that is not finite, as the universe continues to expand! If the universe is open (as it probably is) and one day we can harness the dark energy that seethes through the ever-expanding vacuum, our total energy consumption can grow without bound just as the universe does. Perhaps we could even stave off the heat death of the universe this way—we after all have billions of years to figure out how.

If scarcity were indeed this fundamental law that we could rely on, then more jobs would always continue to emerge, producing whatever is next on the list of needs ordered by marginal utility. Life would always get better, but there would always be more work to be done. But in fact, we are basically already at the point where our needs are satiated; we continue to try to make more not because there isn’t enough stuff, but because nobody will let us have it unless we do enough work to convince them that we deserve it.

We could continue on this route, making more and more bullshit jobs, pretending that this is work that needs done so that we don’t have to adjust our moral framework which requires that people be constantly working for money in order to deserve to live. It’s quite likely in fact that we will, at least for the foreseeable future. In this future, robots will not take our jobs, because we’ll make up excuses to create more.

But that future is more on the dystopian end, in my opinion; there is another way, a better way, the world could be. As technology makes it ever easier to produce as much wealth as we need, we could learn to share that wealth. As robots take our jobs, we could get rid of the idea of jobs as something people must have in order to live. We could build a new economic system: One where we don’t ask ourselves whether children deserve to eat before we feed them, where we don’t expect adults to spend most of their waking hours pushing papers around in order to justify letting them have homes, where we don’t require students to take out loans they’ll need decades to repay before we teach them history and calculus.

This second vision is admittedly utopian, and perhaps in the worst way—perhaps there’s simply no way to make human beings actually live like this. Perhaps our brains, evolved for the all-too-real scarcity of the ancient savannah, simply are not plastic enough to live without that scarcity, and so create imaginary scarcity by whatever means they can. It is indeed hard to believe that we can make so fundamental a shift. But for a Homo erectus in 500,000 BP, the idea that our descendants would one day turn rocks into thinking machines that travel to other worlds would be pretty hard to believe too.

Will robots take our jobs? Let’s hope so.

How Reagan ruined America

pnrj inequality, macroeconomics, public policy , , , , , , , , , , , , , , , , ,

JDN 2457408

Or maybe it’s Ford?

The title is intentionally hyperbolic; despite the best efforts of Reagan and his ilk, America does yet survive. Indeed, as Obama aptly pointed out in his recent State of the Union, we appear to be on an upward trajectory once more. And as you’ll see in a moment, many of the turning points actually seem to be Gerald Ford, though it was under Reagan that the trends really gained steam.

But I think it’s quite remarkable just how much damage Reaganomics did to the economy and society of the United States. It’s actually a turning point in all sorts of different economic policy measures; things were going well from the 1940s to the 1970s, and then suddenly in the 1980s they take a turn for the worse.

The clearest example is inequality. From the World Top Incomes Database, here’s the graph I featured on my Patreon page of income shares in the United States:

top_income_shares_pretty.png

Inequality was really bad during the Roaring Twenties (no surprise to anyone who has read The Great Gatsby), then after the turmoil of the Great Depression, the New Deal, and World War 2, inequality was reduced to a much lower level.

During this period, what I like to call the Golden Age of American Capitalism:

Instead of almost 50% in the 1920s, the top 10% now received about 33%.

Instead of over 20% in the 1920s, the top 1% now received about 10%.

Instead of almost 5% in the 1920s, the top 0.01% now received about 1%.

This pattern continued to hold, remarkably stable, until 1980. Then, it completely unraveled. Income shares of the top brackets rose, and continued to rise, ever since (fluctuating with the stock market of course). Now, we’re basically back right where we were in the 1920s; the top 10% gets 50%, the top 1% gets 20%, and the top 0.01% gets 4%.

Not coincidentally, we see the same pattern if we look at the ratio of CEO pay to average worker pay, as shown here in a graph from the Economic Policy Institute:

Snapshot_CEO_pay_main

Up until 1980, the ratio in pay between CEOs and their average workers was steady around 20 to 1. From that point forward, it began to rise—and rise, and rise. It continued to rise under every Presidential administration, and actually hit its peak in 2000, under Bill Clinton, at an astonishing 411 to 1 ratio. In the 2000s it fell to about 250 to 1 (hurray?), and has slightly declined since then to about 230 to 1.

By either measure, we can see a clear turning point in US inequality—it was low and stable, until Reagan came along, when it began to explode.

Part of this no doubt is the sudden shift in tax rates. The top marginal tax rates on income were over 90% from WW2 to the 1960s; then JFK reduced them to 70%, which is probably close to the revenue-maximizing rate. There they stayed, until—you know the refrain—along came Reagan, and by the end of his administration he had dropped the top marginal rate to 28%. It then was brought back up to about 35%, where it has basically remained, sometimes getting as high as 40%.

US_income_tax_rates

Another striking example is the ratio between worker productivity and wages. The Economic Policy Institute has a very detailed analysis of this, but I think their graph by itself is quite striking:

productivity_wages

Starting around the 1970s, and then rapidly accelerating from the 1980s onward, we see a decoupling of productivity from wages. Productivity has continued to rise at more or less the same rate, but wages flatten out completely, even falling for part of the period.

For those who still somehow think Republicans are fiscally conservative, take a look at this graph of the US national debt:

US_federal_debt

We were at a comfortable 30-40% of GDP range, actually slowly decreasing—until Reagan. We got back on track to reduce the debt during the mid-1990s—under Bill Clinton—and then went back to raising it again once George W. Bush got in office. It ballooned as a result of the Great Recession, and for the past few years Obama has been trying to bring it back under control.

Of course, national debt is not nearly as bad as most people imagine it to be. If Reagan had only raised the national debt in order to stop unemployment, that would have been fine—but he did not.

Unemployment had never been above 10% since World War 2 (and in fact reached below 4% in the 1960s!) and yet all the sudden hit almost 11%, shortly after Reagan:
US_unemployment
Let’s look at that graph a little closer. Right now the Federal Reserve uses 5% as their target unemployment rate, the supposed “natural rate of unemployment” (a lot of economists use this notion, despite there being almost no empirical support for it whatsoever). If I draw red lines at 5% unemployment and at 1981, the year Reagan took office, look at what happens.

US_unemployment_annotated

For most of the period before 1981, we spent most of our time below the 5% line, jumping above it during recessions and then coming back down; for most of the period after 1981, we spent most of our time above the 5% line, even during economic booms.

I’ve drawn another line (green) where the most natural break appears, and it actually seems to be the Ford administration; so maybe I can’t just blame Reagan. But something happened in the last quarter of the 20th century that dramatically changed the shape of unemployment in America.

Inflation is at least ambiguous; it was pretty bad in the 1940s and 1950s, and then settled down in the 1960s for awhile before picking up in the 1970s, and actually hit its worst just before Reagan took office:

US_inflation

Then there’s GDP growth.

US_GDP_growth

After World War 2, our growth rate was quite volatile, rising as high as 8% (!) in some years, but sometimes falling to zero or slightly negative. Rates over 6% were common during booms. On average GDP growth was quite good, around 4% per year.

In 1981—the year Reagan took office—we had the worst growth rate in postwar history, an awful -1.9%. Coming out of that recession we had very high growth of about 7%, but then settled into the new normal: More stable growth rates, yes, but also much lower. Never again did our growth rate exceed 4%, and on average it was more like 2%. In 2009, Reagan’s record recession was broken with the Great Recession, a drop of almost 3% in a single year.

GDP per capita tells a similar story, of volatile but fast growth before Reagan followed by stable but slow growth thereafter:

US_GDP_per_capita

Of course, it wouldn’t be fair to blame Reagan for all of this. A lot of things have happened in the late 20th century, after all. In particular, the OPEC oil crisis is probably responsible for many of these 1970s shocks, and when Nixon moved us at last off the Bretton Woods gold standard, it was probably the right decision, but done at a moment of crisis instead of as the result of careful planning.

Also, while the classical gold standard was terrible, the Bretton Woods system actually had some things to recommend it. It required strict capital controls and currency exchange regulations, but the period of highest economic growth and lowest inequality in the United States—the period I’m calling the Golden Age of American Capitalism—was in fact the same period as the Bretton Woods system.

Some of these trends started before Reagan, and all of them continued in his absence—many of them worsening as much or more under Clinton. Reagan took office during a terrible recession, and either contributed to the recovery or at least did not prevent it.

The President only has very limited control over the economy in any case; he can set a policy agenda, but Congress must actually implement it, and policy can take years to show its true effects. Yet given Reagan’s agenda of cutting top tax rates, crushing unions, and generally giving large corporations whatever they want, I think he bears at least some responsibility for turning our economy in this very bad direction.