# Working from home is the new normal—sort of

Aug 28 JDN 2459820

Among people with jobs that can be done remotely, a large majority did in fact switch to doing their jobs remotely: By the end of 2020, over 70% of Americans with jobs that could be done remotely were working from home—and most of them said they didn’t want to go back.

This is actually what a lot of employers expected to happen—just not quite like this. In 2014, a third of employers predicted that the majority of their workforce would be working remotely by 2020; given the timeframe there, it required a major shock to make that happen so fast, and yet a major shock was what we had.

Working from home has carried its own challenges, but overall productivity seems to be higher working remotely (that meeting really could have been an email!). This may actually explain why output per work hour actually rose rapidly in 2020 and fell in 2022.

The COVID pandemic now isn’t so much over as becoming permanent; COVID is now being treated as an endemic infection like influenza that we don’t expect to be able to eradicate in the foreseeable future.

And likewise, remote work seems to be here to stay—sort of.

First of all, we don’t seem to be giving up office work entirely. As of the first quarter 2022, almost as many firms have partially remote work as have fully remote work, and this seems to be trending upward. A lot of firms seem to be transitioning into a “hybrid” model where employees show up to work two or three days a week. This seems to be preferred by large majorities of both workers and firms.

There is a significant downside of this: It means that the hope that remote working might finally ease the upward pressure on housing prices in major cities is largely a false one. If we were transitioning to a fully remote system, then people could live wherever they want (or can afford) and there would be no reason to move to overpriced city centers. But if you have to show up to work even one day a week, that means you need to live close enough to the office to manage that commute.

Likewise, if workers never came to the office, you could sell the office building and convert it into more housing. But if they show up even once in awhile, you need a physical place for them to go. Some firms may shrink their office space (indeed, many have—and unlike this New York Times journalist, I have a really hard time feeling bad for landlords of office buildings); but they aren’t giving it up entirely. It’s possible that firms could start trading off—you get the building on Mondays, we get it on Tuesdays—but so far this seems to be rare, and it does raise a lot of legitimate logistical and security concerns. So our global problem of office buildings that are empty, wasted space most of the time is going to get worse, not better. Manhattan will still empty out every night; it just won’t fill up as much during the day. This is honestly a major drain on our entire civilization—building and maintaining all those structures that are only used at most 1/3 of 5/7 of the time, and soon, less—and we really should stop ignoring it. No wonder our real estate is so expensive, when half of it is only used 20% of the time!

Moreover, not everyone gets to work remotely. Your job must be something that can be done remotely—something that involves dealing with information, not physical objects. That includes a wide and ever-growing range of jobs, from artists and authors to engineers and software developers—but it doesn’t include everyone. It basically means what we call “white-collar” work.

Indeed, it is largely limited to the upper-middle class. The rich never really worked anyway, though sometimes they pretend to, convincing themselves that managing a stock portfolio (that would actually grow faster if they let it sit) constitutes “work”. And the working class? By and large, they didn’t get the chance to work remotely. While 73% of workers with salaries above $200,000 worked remotely in 2020, only 12% of workers with salaries under$25,000 did, and there is a smooth trend where, across the board, the more money you make, the more likely you have been able to work remotely.

This will only intensify the divide between white-collar and blue-collar workers. They already think we don’t do “real work”; now we don’t even go to work. And while blue-collar workers are constantly complaining about contempt from white-collar elites, I think the shoe is really on the other foot. I have met very few white-collar workers who express contempt for blue-collar workers—and I have met very few blue-collar workers who don’t express anger and resentment toward white-collar workers. I keep hearing blue-collar people say that we think that they are worthless and incompetent, when they are literally the only ones ever saying that. I can’t stop saying things that I never said.

The rich and powerful may look down on them, but they look down on everyone. (Maybe they look down on blue-collar workers more? I’m not even sure about that.) I think politicians sometimes express contempt for blue-collar workers, but I don’t think this reflects what most white-collar workers feel.

And the highly-educated may express some vague sense of pity or disappointment in people who didn’t get college degrees, and sometimes even anger (especially when they do things like vote for Donald Trump), but the really vitriolic hatred is clearly in the opposite direction (indeed, I have no better explanation for how otherwise-sane people could vote for Donald Trump). And I certainly wouldn’t say that everyone needs a college degree (though I became tempted to, when so many people without college degrees voted for Donald Trump).

This really isn’t us treating them with contempt: This is them having a really severe inferiority complex. And as information technology (that white-collar work created) gives us—but not them—the privilege of staying home, that is only going to get worse.

It’s not their fault: Our culture of meritocracy puts a little bit of inferiority complex in all of us. It tells us that success and failure are our own doing, and so billionaires deserve to have everything and the poor deserve to have nothing. And blue-collar workers have absolutely internalized these attitudes: Most of them believe that poor people choose to stay on welfare forever rather than get jobs (when welfare has time limits and work requirements, so this is simply not an option—and you would know this from the Wikipedia page on TANF).

I think that what they experience as “contempt by white-collar elites” is really the pain of living in an illusory meritocracy. They were told—and they came to believe—that working hard would bring success, and they have worked very hard, and watched other people be much more successful. They assume that the rich and powerful are white-collar workers, when really they are non-workers; they are people the world was handed to on a silver platter. (What, you think George W. Bush earned his admission to Yale?)

And thus, we can shout until we are blue in the face that plumbers, bricklayers and welders are the backbone of civilization—and they are, and I absolutely mean that; our civilization would, in an almost literal sense, collapse without them—but it won’t make any difference. They’ll still feel the pain of living in a society that gave them very little and tells them that people get what they deserve.

I don’t know what to say to such people, though. When your political attitudes are based on beliefs that are objectively false, that you could know are objectively false if you simply bothered to look them up… what exactly am I supposed to say to you? How can we have a useful political conversation when half the country doesn’t even believe in fact-checking?

Honestly I wish someone had explained to them that even the most ideal meritocratic capitalism wouldn’t reward hard work. Work is a cost, not a benefit, and the whole point of technological advancement is to allow us to accomplish more with less work. The ideal capitalism would reward talent—you would succeed by accomplishing things, regardless of how much effort you put into them. People would be rich mainly because they are brilliant, not because they are hard-working. The closest thing we have to ideal capitalism right now is probably professional sports. And no amount of effort could ever possibly make me into Steph Curry.

If that isn’t the world we want to live in, so be it; let’s do something else. I did nothing to earn either my high IQ or my chronic migraines, so it really does feel unfair that the former increases my income while the latter decreases it. But the labor theory of value has always been wrong; taking more sweat or more hours to do the same thing is worse, not better. The dignity of labor consists in its accomplishment, not its effort. Sisyphus is not happy, because his work is pointless.

Honestly at this point I think our best bet is just to replace all blue-collar work with automation, thus rendering it all moot. And then maybe we can all work remotely, just pushing code patches to the robots that do everything. (And no doubt this will prove my “contempt”: I want to replace you! No, I want to replace the grueling work that you have been forced to do to make a living. I want you—the human being—to be able to do something more fun with your life, even if that’s just watching television and hanging out with friends.)

# Scalability and inequality

May 15 JDN 2459715

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

# Strange times for the labor market

Jan 9 JDN 2459589

Labor markets have been behaving quite strangely lately, due to COVID and its consequences. As I said in an earlier post, the COVID recession was the one recession I can think of that actually seemed to follow Real Business Cycle theory—where it was labor supply, not demand, that drove employment.

I dare say that for the first time in decades, the US government actually followed Keynesian policy. US federal government spending surged from $4.8 trillion to$6.8 trillion in a single year:

That is a staggering amount of additional spending; I don’t think any country in history has ever increased their spending by that large an amount in a single year, even inflation-adjusted. Yet in response to a recession that severe, this is exactly what Keynesian models prescribed—and for once, we listened. Instead of balking at the big numbers, we went ahead and spent the money.

And apparently it worked, because unemployment spiked to the worst levels seen since the Great Depression, then suddenly plummeted back to normal almost immediately:

Nor was this just the result of people giving up on finding work. U-6, the broader unemployment measure that includes people who are underemployed or have given up looking for work, shows the same unprecedented pattern:

The oddest part is that people are now quitting their jobs at the highest rate seen in over 20 years:

[FRED_quits.png]

This phenomenon has been dubbed the Great Resignation, and while its causes are still unclear, it is clearly the most important change in the labor market in decades.

In a previous post I hypothesized that this surge in strikes and quits was a coordination effect: The sudden, consistent shock to all labor markets at once gave people a focal point to coordinate their decision to strike.

But it’s also quite possible that it was the Keynesian stimulus that did it: The relief payments made it safe for people to leave jobs they had long hated, and they leapt at the opportunity.

When that huge surge in government spending was proposed, the usual voices came out of the woodwork to warn of terrible inflation. It’s true, inflation has been higher lately than usual, nearly 7% last year. But we still haven’t hit the double-digit inflation rates we had in the late 1970s and early 1980s:

Indeed, most of the inflation we’ve had can be explained by the shortages created by the supply chain crisis, along with a very interesting substitution effect created by the pandemic. As services shut down, people bought goods instead: Home gyms instead of gym memberships, wifi upgrades instead of restaurant meals.

As a result, the price of durable goods actually rose, when it had previously been falling for decades. That broader pattern is worth emphasizing: As technology advances, services like healthcare and education get more expensive, durable goods like phones and washing machines get cheaper, and nondurable goods like food and gasoline fluctuate but ultimately stay about the same. But in the last year or so, durable goods have gotten more expensive too, because people want to buy more while supply chains are able to deliver less.

This suggests that the inflation we are seeing is likely to go away in a few years, once the pandemic is better under control (or else reduced to a new influenza where the virus is always there but we learn to live with it).

But I don’t think the effects on the labor market will be so transitory. The strikes and quits we’ve been seeing lately really are at a historic level, and they are likely to have a long-lasting effect on how work is organized. Employers are panicking about having to raise wages and whining about how “no one wants to work” (meaning, of course, no one wants to work at the current wage and conditions on offer). The correct response is the one from Goodfellas [language warning].

For the first time in decades, there are actually more job vacancies than unemployed workers:

This means that the tables have turned. The bargaining power is suddenly in the hands of workers again, after being in the hands of employers for as long as I’ve been alive. Of course it’s impossible to know whether some other shock could yield another reversal; but for now, it looks like we are finally on the verge of major changes in how labor markets operate—and I for one think it’s about time.

# Low-skill jobs

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.

# Labor history in the making

Oct 24 JDN 2459512

To say that these are not ordinary times would be a grave understatement. I don’t need to tell you all the ways that this interminable pandemic has changed the lives of people all around the world.

But one in particular is of notice to economists: Labor in the United States is fighting back.

Quit rates are at historic highs. Over 100,000 workers in a variety of industries are simultaneously on strike, ranging from farmworkers to nurses and freelance writers to university lecturers.

After decades of quiescence to ever-worsening working conditions, it seems that finally American workers are mad as hell and not gonna take it anymore.

It’s about time, frankly. The real question is why it took this long. Working conditions in the US have been systematically worse than the rest of the First World since at least the 1980s. It was substantially easier to get the leave I needed to attend my own wedding—in the US—after starting work in the UK than it would have been at the same kind of job in the US, because UK law requires employers to grant leave from the day they start work, while US federal law and the law in many states doesn’t require leave at all for anyone—not even people who are sick or recently gave birth.

So, why did it happen now? What changed? The pandemic threw our lives into turmoil, that much is true. But it didn’t fundamentally change the power imbalance between workers and employers. Why was that enough?

I think I know why. The shock from the pandemic didn’t have to be enough to actually change people’s minds about striking—it merely had to be enough to convince people that others would show up. It wasn’t the first-order intention “I want to strike” that changed; it was the second-order belief “Other people want to strike too”.

For a labor strike is a coordination game par excellence. If 1 person strikes, they get fired and replaced. If 2 or 3 or 10 strike, most likely the same thing. But if 10,000 strike? If 100,000 strike? Suddenly corporations have no choice but to give in.

The most important question on your mind when you are deciding whether or not to strike is not, “Do I hate my job?” but “Will my co-workers have my back?”.

Coordination games exhibit a very fascinating—and still not well-understood—phenomenon known as Schelling points. People will typically latch onto certain seemingly-arbitrary features of their choices, and do so well enough that simply having such a focal point can radically increase the level of successful coordination.

I believe that the pandemic shock was just such a Schelling point. It didn’t change most people’s working conditions all that much: though I can see why nurses in particular would be upset, it’s not clear to me that being a university lecturer is much worse now than it was a year ago. But what the pandemic did do was change everyone’s working conditions, all at once. It was a sudden shock toward work dissatisfaction that applied to almost the entire workforce.

Thus, many people who were previously on the fence about striking were driven over the edge—and then this in turn made others willing to take the leap as well, suddenly confident that they would not be acting alone.

Another important feature of the pandemic shock was that it took away a lot of what people had left to lose. Consider the two following games.

Game A: You and 100 other people each separately, without communicating, decide to choose X or Y. If you all choose X, you each get $20. But if even one of you chooses Y, then everyone who chooses Y gets$1 but everyone who chooses X gets nothing.

Game B: Same as the above, except that if anyone chooses Y, everyone who chooses Y also gets nothing.

Game A is tricky, isn’t it? You want to choose X, and you’d be best off if everyone did. But can you really trust 100 other people to all choose X? Maybe you should take the safe bet and choose Y—but then, they’re thinking the same way.

Game B, on the other hand, is painfully easy: Choose X. Obviously choose X. There’s no downside, and potentially a big upside.

In terms of game theory, both games have the same two Nash equilibria: All-X and All-Y. But in the second game, I made all-X also a weak dominant strategy equilibrium, and that made all the difference.

We could run these games in the lab, and I’m pretty sure I know what we’d find: In game A, most people choose X, but some people don’t, and if you repeat the game more and more people choose Y. But in game B, almost everyone chooses X and keeps on choosing X. Maybe they don’t get unanimity every time, but they probably do get it most of the time—because why wouldn’t you choose X? (These are testable hypotheses! I could in fact run this experiment! Maybe I should?)

It’s hard to say at this point how effective these strikes will be. Surely there will be some concessions won—there are far too many workers striking for them all to get absolutely nothing. But it remains uncertain whether the concessions will be small, token changes just to break up the strikes, or serious, substantive restructuring of how work is done in the United States.

If the latter sounds overly optimistic, consider that this is basically what happened in the New Deal. Those massive—and massively successful—reforms were not generated out of nowhere; they were the result of the economic crisis of the Great Depression and substantial pressure by organized labor. We may yet see a second New Deal (a Green New Deal?) in the 2020s if labor organizations can continue putting the pressure on.

The most important thing in making such a grand effort possible is believing that it’s possible—only if enough people believe it can happen will enough people take the risk and put in the effort to make it happen. Apathy and cynicism are the most powerful weapons of the status quo.

We are witnessing history in the making. Let’s make it in the right direction.

# Hyper-competition

Dec13 JDN 2459197

This phenomenon has been particularly salient for me the last few months, but I think it’s a common experience for most people in my generation: Getting a job takes an awful lot of work.

Over the past six months, I’ve applied to over 70 different positions and so far gone through 4 interviews (2 by video, 2 by phone). I’ve done about 10 hours of test work. That so far has gotten me no offers, though I have yet to hear from 50 employers. Ahead of me I probably have about another 10 interviews, then perhaps 4 of what would have been flyouts and in-person presentations but instead will be “comprehensive interviews” and presentations conducted online, likely several more hours of test work, and then finally, maybe, if I’m lucky, I’ll get a good offer or two. If I’m unlucky, I won’t, and I’ll have to stick around for another year and do all this over again next year.

Aside from the limitations imposed by the pandemic, this is basically standard practice for PhD graduates. And this is only the most extreme end of a continuum of intensive job search efforts, for which even applying to be a cashier at Target requires a formal application, references, and a personality test.

This wasn’t how things used to be. Just a couple of generations ago, low-wage employers would more or less hire you on the spot, with perhaps a resume or a cursory interview. More prestigious employers would almost always require a CV with references and an interview, but it more or less stopped there. I discussed in an earlier post how much of the difference actually seems to come from our chronic labor surplus.

Is all of this extra effort worthwhile? Are we actually fitting people to better jobs this way? Even if the matches are better, are they enough better to justify all this effort?

It is a commonly-held notion among economists that competition in markets is good, that it increases efficiency and improves outcomes. I think that this is often, perhaps usually, the case. But the labor market has become so intensely competitive, particularly for high-paying positions, that the costs of this competitive effort likely outweigh the benefits.

How could this happen? Shouldn’t the free market correct for such an imbalance? Not necessarily. Here is a simple formal model of how this sort of intensive competition can result in significant waste.

Note that this post is about a formal mathematical model, so it’s going to use a lot of algebra. If you are uninterested in such things, you can read the next two paragraphs and then skip to the conclusions at the end.

The overall argument is straightforward: If candidates are similar in skill level, a complicated application process can make sense from a firm’s perspective, but be harmful from society’s perspective, due to the great cost to the applicants. This can happen because the difficult application process imposes an externality on the workers who don’t get the job.

All right, here is where the algebra begins.

I’ve included each equation as both formatted text and LaTeX.

Consider a competition between two applicants, X and Z.

They are each asked to complete a series of tasks in an application process. The amount of effort X puts into the application is x, and the amount of effort Z puts into the application is z. Let’s say each additional bit of effort has a fixed cost, normalized to 1.

Let’s say that their skills are similar, but not identical; this seems quite realistic. X has skill level hx, and Z has skill level hz.

Getting hired has a payoff for each worker of V. This includes all the expected benefits of the salary, benefits, and working conditions. I’ll assume that these are essentially the same for both workers, which also seems realistic.

The benefit to the employer is proportional to the worker’s skill, so letting h be the skill level of the actually hired worker, the benefit of hiring that worker is hY. The reason they are requiring this application process is precisely because they want to get the worker with the highest h. Let’s say that this application process has a cost to implement, c.

Who will get hired? Well, presumably whoever does better on the application. The skill level will amplify the quality of their output, let’s say proportionally to the effort they put in; so X’s expected quality will be hxx and Z’s expected output will be hzz.

Let’s also say there’s a certain amount of error in the process; maybe the more-qualified candidate will sleep badly the day of the interview, or make a glaring and embarrassing typo on their CV. And quite likely the quality of application output isn’t perfectly correlated with the quality of actual output once hired. To capture all this, let’s say that having more skill and putting in more effort only increases your probability of getting the job, rather than actually guaranteeing it.

In particular, let’s say that the probability of X getting hired is P[X] = hxx/(hxx + hzz).

$P[X] = \frac{h_x}{h_x x + h_z z}$

This results in a contest function, a type of model that I’ve discussed in some earlier posts in a rather different context.

The expected payoff for worker X is:

E[Ux] = hxx/(hxx + hzz) V – x

$E[U_x] = \frac{h_x x}{h_x x + h_z z} V – x$

Maximizing this with respect to the choice of effort x (which is all that X can control at this point) yields:

hxhzz V = (hxx + hzz)2

$h_x h_z x V = (h_x x + h_z z)^2$

A similar maximization for worker Z yields:

hxhzx V = (hxx + hzz)2

$h_x h_z z V = (h_x x + h_z z)^2$

It follows that x=z, i.e. X and Z will exert equal efforts in Nash equilibrium. Their probability of success will then be contingent entirely on their skill levels:

P[X] = hx/(hx + hz).

$P[X] = \frac{h_x}{h_x + h_y}$

Substituting that back in, we can solve for the actual amount of effort:

hxhzx V = (hx + hz)2x2

$h_x h_z x V = (h_x + h_z)^2 x^2$

x = hxhzV/(hx + hz)2

$x = \frac{h_x h_z}{h_x + h_z} V$

Now let’s see what that gives for the expected payoffs of the firm and the workers. This is worker X’s expected payoff:

E[Ux] = hx/(hx + hz) V – hxhzV/(hx + hz)2 = (hx/(hx + hz))2 V

$E[U_x] = \frac{h_x}{h_x + h_z} V – \frac{h_x h_z}{(h_x + h_z)^2} V = \left( \frac{h_x}{h_x + h_z}\right)^2 V$

Worker Z’s expected payoff is the same, with hx and hz exchanged:

E[Uz] = (hz/(hx + hz))2 V

$E[U_z] = \left( \frac{h_z}{h_x + h_z}\right)^2 V$

What about the firm? Their expected payoff is the the probability of hiring X, times the value of hiring X, plus the probability of hiring Z, times the value of hiring Z, all minus the cost c:

E[Uf] = hx/(hx + hz) hx Y + hz/(hx + hz) hz Y – c= (hx2 + hz2)/(hx + hz) Y – c

$E[U_f] = \frac{h_x}{h_x + h_z} h_x Y + \frac{h_z}{h_x + h_z} h_z Y – c = \frac{h_x^2 + h_z^2}{h_x + h_z} Y – c$

To see whether the application process was worthwhile, let’s compare against the alternative of simply flipping a coin and hiring X or Z at random. The probability of getting hired is then 1/2 for each candidate.

Expected payoffs for X and Z are now equal:

E[Ux] = E[Uz] = V/2

$E[U_x] = E[U_z] = \frac{V}{2}$

The expected payoff for the firm can be computed the same as before, but now without the cost c:

E[Uf] = 1/2 hx Y + 1/2 hz Y = (hx + hz)/2 Y

$E[U_f] = \frac{1}{2} h_x Y + \frac{1}{2} h_z Y = \frac{h_x + h_z}{2} Y$

This has a very simple interpretation: The expected value to the firm is just the average quality of the two workers, times the overall value of the job.

Which of these two outcomes is better? Well, that depends on the parameters, of course. But in particular, it depends on the difference between hx and hz.

Consider two extremes: In one case, the two workers are indistinguishable, and hx = hz = h. In that case, the payoffs for the hiring process reduce to the following:

E[Ux] = E[Uz] = V/4

$E[U_x] = E[U_z] = \frac{V}{4}$

E[Uf] = h Y – c

$E[U_f] = h Y – c$

Compare this against the payoffs for hiring randomly:

E[Ux] = E[Uz] = V/2

$E[U_x] = E[U_z] = \frac{V}{2}$

E[Uf] = h Y

$E[U_f] = h Y$

Both the workers and the firm are strictly better off if the firm just hires at random. This makes sense, since the workers have identical skill levels.

Now consider the other extreme, where one worker is far better than the other; in fact, one is nearly worthless, so hz ~ 0. (I can’t do exactly zero because I’d be dividing by zero, but let’s say one is 100 times better or something.)

In that case, the payoffs for the hiring process reduce to the following:

E[Ux] = V

E[Uz] = 0

$E[U_x] = V$

$E[U_z] = 0$

X will definitely get the job, so X is much better off.

E[Uf] = hx Y – c

$E[U_f] = h_x Y – c$

If the firm had hired randomly, this would have happened instead:

E[Ux] = E[Uz] = V/2

$E[U_x] = E[U_z] = \frac{V}{2}$

E[Uf] = hY/2

$E[U_f] = \frac{h}{2} Y$

As long as c < hY/2, both the firm and the higher-skill worker are better off in this scenario. (The lower-skill worker is worse off, but that’s not surprising.) The total expected benefit for everyone is also higher in this scenario.

Thus, the difference in skill level between the applicants is vital. If candidates are very different in skill level, in a way that the application process can accurately measure, then a long and costly application process can be beneficial, not only for the firm but also for society as a whole.

In these extreme examples, it was either not worth it for the firm, or worth it for everyone. But there is an intermediate case worth looking at, where the long and costly process can be worth it for the firm, but not for society as a whole. I will call this case hyper-competition—a system that is so competitive it makes society overall worse off.

This inefficient result occurs precisely when:
c < (hx2 + hz2)/(hx + hz) Y – (hx + hz)/2 Y < c + (hx/(hx + hz))2 V + (hz/(hx + hz))2 V

$c < \frac{h_x^2 + h_z^2}{h_x + h_z} Y – \frac{h_x + h_z}{2} Y < c + \left( \frac{h_x}{h_x + h_z}\right)^2 V + \left( \frac{h_z}{h_x + h_z}\right)^2 V$

This simplifies to:

c < (hx – hz)2/(2hx + 2hz) Y < c + (hx2 + hz2)/(hx + hz)2 V

$c < \frac{(h_x – h_z)^2}{2 (h_x + h_z)} Y < c + \frac{(h_x^2 + h_z^2)}{(h_x+h_z)^2} V$

If c is small, then we are interested in the case where:

(hx – hz)2 Y/2 < (hx2 + hz2)/(hx + hz) V

$\frac{(h_x – h_z)^2}{2} Y < \frac{h_x^2 + h_z^2}{h_x + h_z} V$

This is true precisely when the difference hx – hz is small compared to the overall size of hx or hz—that is, precisely when candidates are highly skilled but similar. This is pretty clearly the typical case in the real world. If the candidates were obviously different, you wouldn’t need a competitive process.

For instance, suppose that hx = 10 and hz = 8, while V = 180, Y = 20 and c = 1.

Then, if we hire randomly, these are the expected payoffs:

E[Uf] = (hx + hz)/2 Y = 180

E[Ux] = E[Uz] = V/2 = 90

If we use the complicated hiring process, these are the expected payoffs:

E[Ux] = (hx/(hx + hz))2 V = 55.5

E[Uz] = (hz/(hx + hz))2 V = 35.5

E[Uf] = (hx2 + hz2)/(hx + hz) Y – c = 181

The firm gets a net benefit of 1, quite small; while the workers face a far larger total expected loss of 90. And these candidates aren’t that similar: One is 25% better than the other. Yet because the effort expended in applying was so large, even this improvement in quality wasn’t worth it from society’s perspective.

This conclude’s the algebra for today, if you’ve been skipping it.

In this model I’ve only considered the case of exactly two applicants, but this can be generalized to more applicants, and the effect only gets stronger: Seemingly-large differences in each worker’s skill level can be outweighed by the massive cost of making so many people work so hard to apply and get nothing to show for it.

Thus, hyper-competition can exist despite apparently large differences in skill. Indeed, it is precisely the typical real-world scenario with many applicants who are similar that we expect to see the greatest inefficiencies. In the absence of intervention, we should expect markets to get this wrong.

Of course, we don’t actually want employers to hire randomly, right? We want people who are actually qualified for their jobs. Yes, of course; but you can probably assess that with nothing more than a resume and maybe a short interview. Most employers are not actually trying to find qualified candidates; they are trying to sift through a long list of qualified candidates to find the one that they think is best qualified. And my suspicion is that most of them honestly don’t have good methods of determining that.

This means that it could be an improvement for society to simply ban long hiring processes like these—indeed, perhaps ban job interviews altogether, as I can hardly think of a more efficient mechanism for allowing employers to discriminate based on race, gender, age, or disability than a job interview. Just collect a resume from each applicant, remove the ones that are unqualified, and then roll a die to decide which one you hire.

This would probably make the fit of workers to their jobs somewhat worse than the current system. But most jobs are learned primarily through experience anyway, so once someone has been in a job for a few years it may not matter much who was hired originally. And whatever cost we might pay in less efficient job matches could be made up several times over by the much faster, cheaper, easier, and less stressful process of applying for jobs.

Indeed, think for a moment of how much worse it feels being turned down for a job after a lengthy and costly application process that is designed to assess your merit (but may or may not actually do so particularly well), as opposed to simply finding out that you lost a high-stakes die roll. Employers could even send out letters saying one of two things: “You were rejected as unqualifed for this position.” versus “You were qualified, but you did not have the highest die roll.” Applying for jobs already feels like a crapshoot; maybe it should literally be one.

People would still have to apply for a lot of jobs—actually, they’d probably end up applying for more, because the lower cost of applying would attract more applicants. But since the cost is so much lower, it would still almost certainly be easier to do a job search than it is in the current system. In fact, it could largely be automated: simply post your resume on a central server and the system matches you with employers’ requirements and then randomly generates offers. Employers and prospective employees could fill out a series of forms just once indicating what they were looking for, and then the system could do the rest.

What I find most interesting about this policy idea is that it is in an important sense anti-meritocratic. We are in fact reducing the rewards for high levels of skill—at least a little bit—in order to improve society overall and especially for those with less skill. This is exactly the kind of policy proposal that I had hoped to see from a book like The Meritocracy Trap, but never found there. Perhaps it’s too radical? But the book was all about how we need fundamental, radical change—and then its actual suggestions were simple, obvious, and almost uncontroversial.

Note that this simplified process would not eliminate the incentives to get major, verifiable qualifications like college degrees or years of work experience. In fact, it would focus the incentives so that only those things matter, instead of whatever idiosyncratic or even capricious preferences HR agents might have. There would be no more talk of “culture fit” or “feeling right for the job”, just: “What is their highest degree? How many years have they worked in this industry?” I suppose this is credentialism, but in a world of asymmetric information, I think credentialism may be our only viable alternative to nepotism.

Of course, it’s too late for me. But perhaps future generations may benefit from this wisdom.

# The Race to the Bottom is not inevitable

Jul 19 JDN 2459050

The race to the bottom is a common result of competition, between firms, between states, or even between countries. One firm finds a way to cut corners and reduce costs, then lowers their price to undercut others; then soon every firm is cutting those same corners. Or one country decides to weaken their regulations in order to attraction more business; then soon every other country has to weaken their regulations as well.

Let’s first consider individual firms. Suppose that you run a business, and you are an upstanding, ethical person. You want to treat your employees, your customers, and your community well. You have high labor standards, you exceed the requirements of environmental regulations, and you make a high-quality product at a reasonable price for a moderate profit.

Then, a competitor appears. The owner of this company is not so ethical. They exploit their workers, perhaps even stealing their wages. They flaunt environmental regulations. They make shoddy products. All of this allows them to make their products for a lower price than yours.

Suppose that most customers can’t tell the difference between your product and theirs. What will happen? They will stop buying yours, because it’s more expensive. What do you do then?

You could simply go out of business. But that doesn’t really solve anything. Probably you’ll be forced to lower your standards. You’ll treat your workers worse, pollute more, reduce product quality. You may not do so as much as the other company, but you’ll have to do it some in order to get the price down low enough to still compete. And your profits will be lower than theirs as a result.

Far better would be for the government to step in and punish that other business for breaking the rules—or if what they’re doing is technically legal, change the rules so that it’s not anymore. Then you could continue to produce high-quality products with fair labor standards and good environmental sustainability.

But there are some problems with this. First, consider this from the point of view of a regulator, who is being lobbied by both companies. Your company asks for higher standards to improve product quality while protecting workers and the environment. But theirs claims that these higher standards will push them out of business. Who will they believe?

In fact, it may be worse than that: Suppose we’ve already settled into an equilibrium where all the firms have low standards. In that case, all the lobbyists will be saying that regulations need to be kept weak, lest the whole industry fail.

But in fact there’s no reason to think that stricter regulations would actually destroy the whole industry. Firm owners are used to thinking in terms of fixed competitors: They act in response to what competitors do. And in many cases it’s actually true that if just one firm tried to raise their standards, they would be outcompeted and go out of business. This does not mean that if all firms were forced to raise their standards, the industry would collapse. In fact, it’s much more likely that stricter regulations would only moderately reduce output and profits, if imposed consistently across the whole industry.

To see why, let’s consider a very simple model, a Bertrand competition game. There are two firms, A and B. Each can either use process H, producing a product of high quality with high labor standards and good sustainability, or use process L, producing a product of low quality with low labor standards and poor sustainability. Process H costs $100 per unit, process L costs$50 per unit. Customers can’t tell the difference, so they will buy whichever product is offered at the lowest price. Let’s say you are in charge of firm A. You choose which process to use, and set your price. At the same time, firm B chooses a process and sets their price.

Suppose choose to use process H. The lowest possible price you could charge to still make a profit would be a price of $101 (ignoring cents; let’s say customers also ignore them, which might be true!). But firm B could choose process L, and then set a price of$100. They can charge just one dollar less than you charge for their product, but their cost is only $50, so now they are making a large profit—and you get nothing. So you are forced to lower your standards, in order to match their price. You could try to undercut them at a price of$100, but in the long run that’s a bad idea, since eventually you’ll both be driven to charging a price of 51 and making only a very small profit. And there’s a way to stop them from undercutting you, which is to offer a price-matching guarantee; you can tell your customers that if they see a lower price from firm B than what you’re offering, you’ll match it for them. Then firm B has no incentive to try to undercut you, and you can maintain a stable equilibrium at a price of $100. You have been forced to used process L even though you know it is worse, because any attempt to unilaterally deviate from that industry norm would result in your company going bankrupt. But now suppose the government comes in and mandates that all firms use process H, and they really enforce this rule so that no firm wants to try to break it. Then you’d want to raise the price, but you wouldn’t necessarily have to raise it all that much. Even$101 would be enough to ensure some profit, and you could even maintain your current profits by raising the price up to $150. In reality the result would probably be somewhere in between those two, depending on the elasticity of demand; so perhaps you end up charging$125 and make half the profit you did before.

Even though the new regulation raised costs all the way up to the current price, they did not result in collapsing the industry; because the rule was enforced uniformly, all firms were able to raise their standards and also raise their prices. This is what we should typically expect to happen; so any time someone claims that a new regulation will “destroy the industry” we should be very skeptical of that claim. (It’s not impossible; for instance, a regulation mandating that all fast food workers be paid $200 per hour would surely collapse the fast food industry. But it’s very unlikely that anyone would seriously propose a regulation like that.) So as long as you have a strong government in place, you can escape the race to the bottom. But then we must consider international competition: What if other countries have weaker regulations, and so firms want to move their production to those other countries? Well, a small country may actually be forced to lower their standards in order to compete. I’m not sure there’s much that Taiwan or Singapore could do to enforce higher labor standards. If Taiwan decided to tighten all their labor regulations, firms might just move their production to Indonesia or Vietnam. Then again, monthly incomes in Taiwan, once adjusted for currency exchange rates, are considerably higher than those in Vietnam. Indeed, wages in Taiwan aren’t much lower than wages in the US. So apparently Taiwan has some power to control their own labor standards—perhaps due to their highly educated population and strong industrial infrastructure. However, a large country like the US or China absolutely has more power than that. If the US wants to enforce stricter labor standards, they can simply impose tariffs on countries that don’t. Actually there are many free-trade rules in place precisely to reduce that power, because it can be easily abused in the service of protectionism. Perhaps these rules go too far; while I agree with the concern about protectionism, I definitely think we should be doing more to enforce penalties for forced labor, for instance. But this is not the result of too little international governance—if anything it is the result of too much. Our free trade agreements are astonishingly binding, even on the most powerful countries (China has successfully sued the United States under WTO rules!). I wish only that our human rights charters were anywhere near as well enforced. This means that the race to the bottom is not the inevitable result of competition between firms or even between countries. When it occurs, it is the result of particular policy regimes nationally or internationally. We can make better rules. The first step may be to stop listening to the people who say that any change will “destroy the industry” because they are unable (or unwilling?) to understand how uniformly-imposed rules differ from unilateral deviations from industry norms. # “Harder-working” countries are not richer 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: 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: 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! # For labor day, thoughts on socialism Planned Post 255: Sep 9 JDN 2458371 This week includes Labor Day, the holiday where we are perhaps best justified in taking the whole day off from work and doing nothing. Labor Day is sort of the moderate social democratic counterpart to the explicitly socialist holiday May Day. The right wing in this country has done everything in their power to expand the definition of “socialism”, which is probably why most young people now have positive views of socialism. There was a time when FDR was seen as an alternative to socialism; but now I’m pretty sure he’d just be called a socialist. Because of this, I am honestly not sure whether I should be considered a socialist. I definitely believe in the social democratic welfare state epitomized by Scandinavia, but I definitely don’t believe in total collectivization of all means of production. I am increasingly convinced that shareholder capitalism is a terrible system (the renowned science fiction author Charles Stross actually gave an excellent talk on this subject), but I would not want to abandon free markets. The best answer might be worker-owned cooperatives. The empirical data is actually quite consistent in showing worker co-ops to be as efficient if not more efficient than conventional corporations, and by construction their pay systems produce less inequality than corporations. Indeed, I think there is reason to believe that a worker co-op is a much more natural outcome for free markets under a level playing field than a conventional corporation, and the main reason we have corporations is actually that capitalism arose out of (and in response to) feudalism. Think about it: Why should most things be owned by the top 1%? (Okay, not quite “most”: to be fair, the top 1% only owns 40% of all US net wealth.) Why is 80% of the value of the stock market held by the top 10% of the population? Most things aren’t done by the top 1%. There are a handful of individuals (namely, scientists who make seminal breakthroughs: Charles Darwin, Marie Curie, Albert Einstein, Rosalind Franklin, Alan Turing, Jonas Salk) who are so super-productive that they might conceivably deserve billionaire-level compensation—but they are almost never the ones who are actually billionaires. If markets were really distributing capital to those who would use it most productively, there’s no reason to think that inequality would be so self-sustaining—much less self-enhancing as it currently seems to be. But when you realize that capitalism emerged out of a system where the top 1% (or less) already owned most things, and did so by a combination of “divine right” ideology and direct, explicit violence, this inequality becomes a lot less baffling. We never had a free market on a level playing field. The closest we’ve ever gotten has always been through social-democratic reforms (like the New Deal and Scandinavia). How does this result in corporations? Well, when all the wealth is held by a small fraction of individuals, how do you start a business? You have to borrow money from the people who have it. Borrowing makes you beholden to your creditors, and puts you at great risk if your venture fails (especially back in the days when there were debtor’s prisons—and we’re starting to go back that direction!). Equity provides an alternative: In exchange for giving them the downside risk if your venture fails, you also give your creditors—now shareholders—the upside risk if your venture succeeds. But at the end of the day when your business has succeeded, where did most of the profits go? Into the hands of the people who already had money to begin with, who did nothing to actually contribute to society. The world would be better off if those people had never existed and their wealth had simply been shared with everyone else. Compare this to what would happen if we all started with similar levels of wealth. (How much would each of us have? Total US wealth of about$44 trillion, spread among a population of 328 million, is about $130,000 each. I don’t know about you, but I think I could do quite a bit with that.) When starting a business, you wouldn’t go heavily into debt or sign away ownership of your company to some billionaire; you’d gather a group of dedicated partners, each of whom would contribute money and effort into building the business. As you added on new workers, it would make sense to pool their assets, and give them a share of the company as well. The natural structure for your business would be not a shareholder corporation, but a worker-owned cooperative. I think on some level the super-rich actually understand this. If you look closely at the sort of policies they fight for, they really aren’t capitalist. They don’t believe in free, unfettered markets where competition reigns. They believe in monopoly, lobbying, corruption, nepotism, and above all, low taxes. (There’s actually nothing in the basic principles of capitalism that says taxes should be low. Taxes should be as high as they need to be to cover public goods—no higher, and no lower.) They don’t want to provide nationalized healthcare, not because they believe that private healthcare competition is more efficient (no one who looks at the data for even a few minutes can honestly believe that—US healthcare is by far the most expensive in the world), but because they know that it would give their employees too much freedom to quit and work elsewhere. Donald Trump doesn’t want a world where any college kid with a brilliant idea and a lot of luck can overthrow his empire; he wants a world where everyone owes him and his family personal favors that he can call in to humiliate them and exert his power. That’s not capitalism—it’s feudalism. Crowdfunding also provides an interesting alternative; we might even call it the customer-owned cooperative. Kickstarter and Patreon provide a very interesting new economic model—still entirely within the realm of free markets—where customers directly fund production and interact with producers to decide what will be produced. This might turn out to be even more efficient—and notice that it would run a lot more smoothly if we had all started with a level playing field. Establishing such a playing field, of course, requires a large amount of redistribution of wealth. Is this socialism? If you insist. But I think it’s more accurate to describe it as reparations for feudalism (not to mention colonialism). We aren’t redistributing what was fairly earned in free markets; we are redistributing what was stolen, so that from now on, wealth can be fairly earned in free markets. # Unpaid work and the double burden Apr 16, JDN 2457860 When we say the word “work”, what leaps to mind is usually paid work in the formal sector—the work people do for employers. When you “go to work” each morning, you are going to do your paid work in the formal sector. But a large quantity of the world’s labor does not take this form. First, there is the informal sectorwork done for cash “under the table”, where there is no formal employment structure and often no reporting or payment of taxes. Many economists estimate that the majority of the world’s workers are employed in the informal sector. The ILO found that informal employment comprises as much as 70% of employment in some countries. However, it depends how you count: A lot of self-employment could be considered either formal or informal. If you base it on whether you do any work outside an employer-employee relationship, informal sector work is highly prevalent around the world. If you base it on not reporting to the government to avoid taxes, informal sector work is less common. If it must be your primary source of income, whether or not you pay taxes, informal sector work is uncommon. And if you only include informal sector work when it is your primary income source and not reported to the government, informal sector work is relatively rare and largely restricted to underdeveloped countries. But that’s not really my focus for today, because you at least get paid in the informal sector. Nor am I talking about forced laborthat is, slavery, essentially—which is a serious human rights violation that sadly still goes on in many countries. No, the unpaid work I want to talk about today is work that people willingly do for free. I’m also excluding internships and student work, where (at least in theory) the idea is that instead of getting paid you are doing the work in order to acquire skills and experience that will be valuable to you later on. I’m talking about work that you do for its own sake. Such work can be divided into three major categories. First there is vocation—the artist who would paint even if she never sold a single canvas; the author who is compelled to write day and night and would give the books away for free. Vocation is work that you do for fun, or because it is fulfilling. It doesn’t even feel like “work” in quite the same sense. For me, writing and research are vocation, at least in part; even if I had$5 million in stocks I would still do at least some writing and research as part of what gives my life meaning.

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

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

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

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

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

But what should we do with domestic labor?

Some of it can and will be automated away—the Parable of the Dishwasher with literal dishwashers. But it will be awhile before it all can, and right now it’s still a bit expensive. Maybe instead of vacuuming I should buy a Roomba—but $500 feels like a lot of money right now. Much domestic labor we could hire out to someone else, but we simply choose not to. I could always hire someone to fix my computer, unclog my bathtub, or even mop my floors; I just don’t because it seems too expensive. From the perspective of an economist, it’s actually a bit odd that it seems too expensive. I might have a comparative advantage in fixing my computer—it’s mine, after all, so I know its ins and outs, and while I’m no hotshot Google admin I am a reasonably competent programmer and debugger in my own right. And while for many people auto repair is a household chore, I do actually hire auto mechanics; I don’t even change my own oil, though partly that’s because my little Smart has an extremely compact design that makes it hard to work on. But I surely have no such comparative advantage in cleaning my floors or unclogging my pipes; so why doesn’t it seem worth it to hire someone else to do that? Maybe I’m being irrational; hiring a cleaning service isn’t that expensive after all. I could hire a cleaning service to do my whole apartment for something like$80, and if I scheduled a regular maid it would probably be something like that per month. That’s what I would charge for two hours of tutoring, so maybe it would behoove me to hire a maid and spend that extra time tutoring or studying.

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

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

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

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

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

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

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

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

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