One of the central concepts in CBT is cognitive distortions: There are certain systematic patterns in how we tend to think, which often results in beliefs and emotions that are disproportionate with reality.
Most of the cognitive distortions CBT deals with make sense to me—and I am well aware that my mind applies them frequently: All-or-nothing, jumping to conclusions, overgeneralization, magnification and minimization, mental filtering, discounting the positive, personalization, emotional reasoning, and labeling are all clearly distorted modes of thinking that nevertheless are extremely common.
But there’s one “distortion” on CBT lists that always bothers me: “should statements”.
Another particularly damaging distortion is the tendency to make “should” statements. Should statements are statements that you make to yourself about what you “should” do, what you “ought” to do, or what you “must” do. They can also be applied to others, imposing a set of expectations that will likely not be met.
When we hang on too tightly to our “should” statements about ourselves, the result is often guilt that we cannot live up to them. When we cling to our “should” statements about others, we are generally disappointed by their failure to meet our expectations, leading to anger and resentment.
So any time we use “should”, “ought”, or “must”, we are guilty of distorted thinking? In other words, all of ethics is a cognitive distortion? The entire concept of obligation is a symptom of a mental disorder?
Different sources on CBT will define “should statements” differently, and sometimes they offer a more nuanced definition that doesn’t have such extreme implications:
Individuals thinking in ‘shoulds’, ‘oughts; or ‘musts’ have an ironclad view of how they and others ‘should’ and ‘ought’ to be. These rigid views or rules can generate feels of anger, frustration, resentment, disappointment and guilt if not followed.
Example: You don’t like playing tennis but take lessons as you feel you ‘should’, and that you ‘shouldn’t’ make so many mistakes on the court, and that your coach ‘ought to’ be stricter on you. You also feel that you ‘must’ please him by trying harder.
This is particularly problematic, I think, because of the All-or-Nothing distortion which does genuinely seem to be common among people with depression: Unless you are very clear from the start about where to draw the line, our minds will leap to saying that all statements involving the word “should” are wrong.
I think what therapists are trying to capture with this concept is something like having unrealistic expectations, or focusing too much on what could or should have happened instead of dealing with the actual situation you are in. But many seem to be unable to articulate that clearly, and instead end up asserting that entire concept of moral obligation is a cognitive distortion.
There may be a deeper error here as well: The way we study mental illness doesn’t involve enough comparison with the control group. Psychologists are accustomed to asking the question, “How do people with depression think?”; but they are not accustomed to asking the question, “How do people with depression think compared to people who don’t?” If you want to establish that A causes B, it’s not enough to show that those with B have A; you must also show that those who don’t have B also don’t have A.
This is an extreme example for illustration, but suppose someone became convinced that depression is caused by having a liver. They studied a bunch of people with depression, and found that they all had livers; hypothesis confirmed! Clearly, we need to remove the livers, and that will cure the depression.
My impression is that some cognitive distortions are genuinely more common among people with depression—but not all of them. There is an ongoing controversy over what’s called the depressive realismeffect, which is the finding that in at least some circumstances the beliefs of people with mild depression seem to be more accurate than the beliefs of people with no depression at all. The result is controversial both because it seems to threaten the paradigm that depression is caused by distortions, and because it seems to be very dependent on context; sometimes depression makes people more accurate in their beliefs, other times it makes them less accurate.
Overall, I am inclined to think that most people have a variety of cognitive distortions, but we only tend to notice when those distortions begin causing distress—such when are they involved in depression. Human thinking in general seems to be a muddled mess of heuristics, and the wonder is that we function as well as we do.
Does this mean that we should stop trying to remove cognitive distortions? Not at all. Distorted thinking can be harmful even if it doesn’t cause you distress: The obvious example is a fanatical religious or political belief that leads you to harm others. And indeed, recognizing and challenging cognitive distortions is a highly effective treatment for depression.
Actually I created a simple cognitive distortion worksheet based on the TEAM-CBT approach developed by David Burns that has helped me a great deal in a remarkably short time. You can download the worksheet yourself and try it out. Start with a blank page and write down as many negative thoughts as you can, and then pick 3-5 that seem particularly extreme or unlikely. Then make a copy of the cognitive distortion worksheet for each of those thoughts and follow through it step by step. Particularly do not ignore the step “This thought shows the following good things about me and my core values:”; that often feels the strangest, but it’s a critical part of what makes the TEAM-CBT approach better than conventional CBT.
So yes, we should try to challenge our cognitive distortions. But the mere fact that a thought is distressing doesn’t imply that it is wrong, and giving up on the entire concept of “should” and “ought” is throwing out a lot of babies with that bathwater.
We should be careful about labeling any thoughts that depressed people have as cognitive distortions—and “should statements” is a clear example where many psychologists have overreached in what they characterize as a distortion.
After a frustratingly long wait for several states to finish counting their mail-in ballots (particularly Pennsylvania, Nevada, and Arizona), Biden has officially won the Presidential election. While it was far too close in a few key states, this is largely an artifact of the Electoral College: Biden’s actual popular vote advantage was over 4 million votes. We now have our first Vice President who is a woman of color. I think it’s quite reasonable for us all to share a long sigh of relief at this result.
We have won this battle. But the war is far from over.
First, there is the fact that we are still in a historic pandemic and economic recession. I have no doubt that Biden’s policy response will be better than Trump’s; but he hasn’t taken office yet, and much of the damage has already been done. Things are not going to get much better for quite awhile yet.
Above all, Biden is still far too hawkish on immigration and foreign policy. He won’t chant “build the wall!”, but he’s unlikely to tear down all of our border fences or abolish ICE. He won’t rattle the saber with Iran or bomb civilians indiscriminately, but he’s unlikely to end the program of assassination drone strikes. Trump has severely, perhaps irrevocably, damaged the Pax Americanawith his ludicrous trade wars, alienation of our allies, and fawning over our enemies; but whether or not Biden can restore America’s diplomatic credibility, I have no doubt that he’ll continue to uphold—and deploy—America’s military hegemony. Indeed, the failure of the former could only exacerbate the latter.
Biden’s domestic policy is considerably better, but even there he doesn’t go far enough. His healthcare plan is a substantial step forward, improving upon the progress already made by Obamacare; but it’s still not the single-payer healthcare system we really need. He has some good policy ideas for directly combating discrimination, but isn’t really addressing the deep structural sources of systemic racism. His anti-poverty programs would be a step in the right direction, but are clearly insufficient.
But there is an even more serious problem we must face as a country: Trump got 70 million votes. Even after all he did—his endless lies, his utter incompetence, his obvious corruption—and all that happened—the mishandled pandemic, the exacerbated recession—there were still 70 million people willing to vote for Trump. I said it from the beginning: I have never feared Trump nearly so much as I fear an America that could elect him.
Yes, of course he would have had a far worse shot if our voting system were better: Several viable parties, range voting, and no Electoral College would have all made things go very differently than they did in 2016. But the fact remains that tens of millions of Americans were willing to vote for this man not once, but twice.
What can explain the support of so many people for such an obviously terrible leader?
First, there is misinformation: Our mass media is biased and can give a very distorted view of the world. Someone whose view of world events was shaped entirely by right-wing media like Fox News (let alone OAN) might not realize how terrible Trump is, or might be convinced that Biden is somehow even worse. Yet today, in the 21st century, our access to information is virtually unlimited. Anyone who really wanted to know what Trump is like would be able to find out—so whatever ignorance or misinformation Trump voters had, they bear the greatest responsibility for it.
Then, there is discontent: Growth in total economic output has greatly outpaced growth in real standard of living for most Americans. While real per-capita GDP rose from $26,000 in 1974 to $56,000 today (a factor of 2.15, or 1.7% per year), real median personal income only rose from $25,000 to $36,000 (a factor of 1.44, or 0.8% per year). This reflects the fact that more and more of our country’s wealth is being concentrated in the hands of the rich. Combined with dramatically increased costs of education and healthcare, this means that most American families really don’t feel like their standard of living has meaningfully improved in a generation or more.
Yet if people are discontent with how our economy is run… why would they vote for Donald Trump, who epitomizes everything that is wrong with that system? The Democrats have not done enough to fight rising inequality and spiraling healthcare costs, but they have at least done something—raising taxes here, expanding Medicaid there. This is not enough, since it involves only tweaking the system at the edges rather than solving the deeper structural problems—but it has at least some benefit. The Republicans at their best have done nothing, and at their worst actively done everything in their power to exacerbate rising inequality. And Trump is no different in this regard than any other Republican; he promised more populist economic policy, but did not deliver it in any way. Do people somehow not see that?
I think we must face up to the fact that racism and sexism are clearly a major part of what motivates supporters of Trump. Trump’s core base consists of old, uneducated White men. Women are less likely to support him, and young people, educated people, and people of color are far less likely to support him. The race gap is staggering: A mere 8% of Black people support Trump, while 54% of White people do. While Asian and Hispanic voters are not quite so univocal, still it’s clear that if only non-White people had voted Biden would have won an utter landslide and might have taken every state—yes, likely even Florida, where Cuban-Americans did actually lean slightly toward Trump. The age and education gaps are also quite large: Among those under 30, only 30% support Trump, while among those over 65, 52% do. Among White people without a college degree, 64% support Trump, while among White people with a college degree, only 38% do. The gender gap is smaller, but still significant: 48% of men but only 42% of women support Trump. (Also the fact that the gender gap was smaller this year than in 2016 could reflect the fact that Clinton was running for President but Harris was only running for Vice President.)
We shouldn’t ignore the real suffering and discontent that rising inequality has wrought, nor should we dismiss the significance of right-wing propaganda. Yet when it comes right down to it, I don’t see how we can explain Trump’s popularity without recognizing that an awful lot of White men in America are extremely racist and sexist. The most terrifying thing about Trump is that millions of Americans do know what he’s like—and they’re okay with that.
Trump will soon be gone. But many others like him remain. We need to find a way to fix this, or the next racist, misogynist, corrupt, authoritarian psychopath may turn out to be a lot less foolish and incompetent.
So I just finished reading The Meritocracy Trap by David Markovits.
The basic thesis of the book is that America’s rising inequality is not due to a defect in our meritocratic ideals, but is in fact their ultimate fruition. Markovits implores us to reject the very concept of meritocracy, and replace it with… well, something, and he’s never very clear about exactly what.
The most frustrating thing about reading this book is trying to figure out where Markovits draws the line for “elite”. He rapidly jumps between talking about the upper quartile, the upper decile, the top 1%, and even the top 0.1% or top 0.01% while weaving his narrative. The upper quartile of the US contains 75 million people; the top 0.01% contains only 300,000. The former is the size of Germany, the latter the size of Iceland (which has fewer people than Long Beach). Inequality which concentrates wealth in the top quartile of Americans is a much less serious problem than inequality which concentrates wealth in the top 0.01%. It could still be a problem—those lower three quartiles are people too—but it is definitely not nearly as bad.
I think it’s particularly frustrating to me personally, because I am an economist, which means both that such quantitative distinctions are important to me, and also that whether or not I myself am in this “elite” depends upon which line you are drawing. Do I have a post-graduate education? Yes. Was I born into the upper quartile? Not quite, but nearly. Was I raised by married parents in a stable home? Certainly. Am I in the upper decile and working as a high-paid professional? Hopefully I will be soon. Will I enter the top 1%? Maybe, maybe not. Will I join the top 0.1%? Probably not. Will I ever be in the top 0.01% and a captain of industry? Almost certainly not.
So, am I one of the middle class who are suffering alienation and stagnation, or one of the elite who are devouring themselves with cutthroat competition? Based on BLS statistics for economists and job offers I’ve been applying to, my long-term household income is likely to be about 20-50% higher than my parents’; this seems like neither the painful stagnation he attributes to the middle class nor the unsustainable skyrocketing of elite incomes. (Even 50% in 30 years is only 1.4% per year, about our average rate of real GDP growth.) Marxists would no doubt call me petit bourgeoisie; but isn’t that sort of the goal? We want as many people as possible to live comfortable upper-middle class lives in white-collar careers?
Markovits characterizes—dare I say caricatures—the habits of the middle-class versus the elite, and once again I and most people I know cross-cut them: I spend more time with friends than family (elite), but I cook familiar foods, not fancy dinners (middle); I exercise fairly regularly and don’t watch much television (elite) but play a lot of video games and sleep a lot as well (middle). My web searches involve technology and travel (elite), but also chronic illness (middle). I am a donor to Amnesty International (elite) but also play tabletop role-playing games (middle). I have a functional, inexpensive car (middle) but a top-of-the-line computer (elite)—then again that computer is a few years old now (middle). Most of the people I hang out with are well-educated (elite) but struggling financially (middle), civically engaged (elite) but pessimistic (middle). I rent my apartment and have a lot of student debt (middle) but own stocks (elite). (The latter seemed like a risky decision before the pandemic, but as stock prices have risen and student loan interest was put on moratorium, it now seems positively prescient.) So which class am I, again?
I went to public school (middle) but have a graduate degree (elite). I grew up in Ann Arbor (middle) but moved to Irvine (elite). Then again my bachelor’s was at a top-10 institution (elite) but my PhD will be at only a top-50 (middle). The beautiful irony there is that the top-10 institution is the University of Michigan and the top-50 institution is the University of California, Irvine. So I can’t even tell which class each of those events is supposed to represent! Did my experience of Ann Arbor suddenly shift from middle class to elite when I graduated from public school and started attending the University of Michigan—even though about a third of my high school cohort did exactly that? Was coming to UCI an elite act because it’s a PhD in Orange County, or a middle-class act because it’s only a top-50 university?
If the gap between these two classes is such a wide chasm, how am I straddling it? I honestly feel quite confident in characterizing myself as precisely the upwardly-mobile upper-middle class that Markovits claims no longer exists. Perhaps we’re rarer than we used to be; perhaps our status is more precarious; but we plainly aren’t gone.
Markovits keeps talking about “radical differences” “not merely in degree but in kind” between “subordinate” middle-class workers and “superordinate” elite workers, but if the differences are really that stark, why is it so hard to tell which group I’m in? From what I can see, the truth seems less like a sharp divide between middle-class and upper-class, and more like an increasingly steep slope from middle-class to upper-middle class to upper-class to rich to truly super-rich. If I had to put numbers on this, I’d say annual household incomes of about $50,000, $100,000, $200,000, $400,000, $1 million, and $10 million respectively. (And yet perhaps I should add more categories: Even someone who makes $10 million a year has only pocket change next to Elon Musk or Jeff Bezos.) The slope has gotten steeper over time, but it hasn’t (yet?) turned into a sharp cliff the way Markovits describes. America’s Lorenz curve is clearly too steep, but it doesn’t have a discontinuity as far as I can tell.
Some of the inequalities Markovits discusses are genuine, but don’t seem to be particularly related to meritocracy. The fact that students from richer families go to better schools indeed seems unjust, but the problem is clearly not that the rich schools are too good (except maybe at the very top, where truly elite schools seem a bit excessive—five-figure preschool tuition?), but that the poor schools are not good enough. So it absolutely makes sense to increase funding for poor schools and implement various reforms, but this is hardly a radical notion—nor is it in any way anti-meritocratic. Providing more equal opportunities for the poor to raise their own station is what meritocracy is all about.
Other inequalities he objects to seem, if not inevitable, far too costly to remove: Educated people are better parents, who raise their children in ways that make them healthier, happier, and smarter? No one is going to apologize for being a good parent, much less stop doing so because you’re concerned about what it does to inequality. If you have some ideas for how we might make other people into better parents, by all means let’s hear them. But I believe I speak for the entire upper-middle class when I say: when I have kids of my own, I’m going to read to them, I’m not going to spank them, and there’s not a damn thing you can do to change my mind on either front. Quite frankly, this seems like a heavy-handed satire of egalitarianism, right out of Harrison Bergeron: Let’s make society equal by forcing rich people to neglect and abuse their kids as much as poor people do! My apologies to Vonnegut: I thought you were ridiculously exaggerating, but apparently some people actually think like this.
This is closely tied with the deepest flaw in the argument: The meritocratic elite are actually more qualified. It’s easy to argue that someone like Donald Trump shouldn’t rule the world; he’s a deceitful, narcissistic, psychopathic, incompetent buffoon. (The only baffling part is that 40% of American voters apparently disagree.) But it’s a lot harder to see why someone like Bill Gates shouldn’t be in charge of things: He’s actually an extremely intelligent, dedicated, conscientious, hard-working, ethical, and competent individual. Does he deserve $100 billion? No, for reasons I’ve talked about before. But even he knows that! He’s giving most of it away to highly cost-effective charities! Bill Gates alone has saved several million lives by his philanthropy.
Markovits tries to argue that the merits of the meritocratic elite are arbitrary and contextual, like the alleged virtues of the aristocratic class: “The meritocratic virtues, that is, are artifacts of economic inequality in just the fashion in which the pitching virtues are artifacts of baseball.” (p. 264) “The meritocratic achievement commonly celebrated today, no less than the aristocratic virtue acclaimed in the ancien regime, is a sham.” (p. 268)
But it’s pretty hard for me to see how things like literacy, knowledge of history and science, and mathematical skill are purely arbitrary. Even the highly specialized skills of a quantum physicist, software engineer, or geneticist are clearly not arbitrary. Not everyone needs to know how to solve the Schrodinger equation or how to run a polymerase chain reaction, but our civilization greatly benefits from the fact that someone does. Software engineers aren’t super-productive because of high inequality; they are super-productive because they speak the secret language of the thinking machines. I suppose some of the skills involved in finance, consulting, and law are arbitrary and contextual; but he makes it sound like the only purpose graduate school serves is in teaching us table manners.
Precisely by attacking meritocracy, Markovits renders his own position absurd. So you want less competent people in charge? You want people assigned to jobs they’re not good at? You think businesses should go out of their way to hire employees who will do their jobs worse? Had he instead set out to show how American society fails at achieving its meritocratic ideals—indeed, failing to provide equality of opportunity for the poor is probably the clearest example of this—he might have succeeded. But instead he tries to attack the ideals themselves, and fails miserably.
Markovits avoids the error that David Graeber made: Graeber sees that there are many useless jobs but doesn’t seem to have a clue why these jobs exist (and turns to quite foolish Marxian conspiracy theories to explain it). Markovits understands that these jobs are profitable for the firms that employ them, but unproductive for society as a whole. He is right; this is precisely what virtually the entire fields of finance, sales, advertising, and corporate law consist of. Most people in our elite work very hard with great skill and competence, and produce great profits for the corporations that employ them, all while producing very little of genuine societal value. But I don’t see how this is a flaw in meritocracy per se.
Nor does Markovits stop at accusing employment of being rent-seeking; he takes aim at education as well: “when the rich make exceptional investments in schooling, this does reduce the value of ordinary, middle-class training and degrees. […] Meritocratic education inexorably engenders a wasteful and destructive arms educational arms race, which ultimately benefits no one, not even the victors.” (p.153) I don’t doubt that education is in part such a rent-seeking arms race, and it’s worthwhile to try to minimize that. But education is not entirely rent-seeking! At the very least, is there not genuine value in teaching children to read and write and do arithmetic? Perhaps by the time we get to calculus or quantum physics or psychopathology we have reached diminishing returns for most students (though clearly at least some people get genuine value out of such things!), but education is not entirely comprised of signaling or rent-seeking (and nor do “sheepskin effects” prove otherwise).
My PhD may be less valuable to me than it would be to someone in my place 40 years ago, simply because there are more people with PhDs now and thus I face steeper competition. Then again, perhaps not, as the wage premium for college and postgraduate education has been increasing, not decreasing, over that time period. (How much of that wage premium is genuine social benefit and how much is rent-seeking is difficult to say.) In any case it’s definitely still valuable. I have acquired many genuine skills, and will in fact be able to be genuinely more productive as well as compete better in the labor market than I would have without it. Some parts of it have felt like a game where I’m just trying to stay ahead of everyone else, but it hasn’t all been that. A world where nobody had PhDs would be a world with far fewer good scientists and far slower technological advancement.
Abandoning meritocracy entirely would mean that we no longer train people to be more productive or match people to the jobs they are most qualified to do. Do you want a world where surgery is not done by the best surgeons, where airplanes are not flown by the best pilots? This necessarily means less efficient production and an overall lower level of prosperity for society as a whole. The most efficient way may not be the best way, but it’s still worth noting that it’s the most efficient way.
Really, is meritocracy the problem, or is it something else?
Markovits is clearly right that something is going wrong with American society: Our inequality is much too high, and our job market is much too cutthroat. I can’t even relate to his description of what the job market was like in the 1960s (“Old Economy Steve” has it right): “Even applicants for white-collar jobs received startlingly little scrutiny. For most midcentury workers, getting a job did not involve any application at all, in the competitive sense of the term.” (p.203)
In fact, if anything he seems to understate the difference across time, perhaps because it lets him overstate the difference across class (p. 203):
Today, by contrast, the workplace is methodically arranged around gradations of skill. Firms screen job candidates intensively at hiring, and they then sort elite and non-elite workers into separate physical spaces.
Only the very lowest-wage employers, seeking unskilled workers, hire casually. Middle-class employers screen using formal cognitive tests and lengthy interviews. And elite employers screen with urgent intensity, recruiting from only a select pool and spending millions of dollars to probe applicants over several rounds of interviews, lasting entire days.
Today, not even the lowest-wage employers hire casually! Have you ever applied to work at Target? There is a personality test you have to complete, which I presume is designed to test your reliability as an obedient corporate drone. Never in my life have I gotten a job that didn’t involve either a lengthy application process or some form of personal connection—and I hate to admit it, but usually the latter. It is literally now harder to get a job as a cashier at Target than it was to get a job as an engineer at Ford 60 years ago.
But I still can’t shake the feeling that meritocracy is not exactly what’s wrong here. The problem with the sky-high compensation packages at top financial firms isn’t that they are paid to people who are really good at their jobs; it’s that those jobs don’t actually accomplish anything beneficial for society. Where elite talent and even elite compensation is combined with genuine productivity, such as in science and engineering, it seems unproblematic (and I note that Markovits barely even touches on these industries, perhaps because he sees they would undermine his argument). The reason our economic growth seems to have slowed as our inequality has massively surged isn’t that we are doing too good a job of rewarding people for being productive.
Indeed, it seems like the problem may be much simpler: Labor supply exceeds labor demand.
This graph shows the relationship over time between unemployment and job vacancies. As you can see, they are generally inversely related: More vacancies means less unemployment. I have drawn in a green line which indicates the cutoff between having more vacancies than unemployment—upper left—and having more unemployment than vacancies—lower right. We have almost always been in the state of having more unemployment than we have vacancies; notably, the mid-1960s were one of the few periods in which we had significantly more vacancies than unemployment.
For decades we’ve been instituting policies to try to give people “incentives to work”; but there is no shortage of labor in this country. We seem to have plenty of incentives to work—what we need are incentives to hire people and pay them well.
Indeed, perhaps we need incentives not to work—like a basic income or an expanded social welfare system. Thanks to automation, productivity is now astonishingly high, and yet we work ourselves to death instead of enjoying leisure.
And of course there are various other policy changes that have made our inequality worse—chiefly the dramatic drops in income tax rates at the top brackets that occurred under Reagan.
In fact, many of the specific suggestions Markovits makes—which, much to my chagrin, he waits nearly 300 pages to even mention—are quite reasonable, or even banal: He wants to end tax deductions for alumni donations to universities and require universities to enroll more people from lower income brackets; I could support that. He wants to regulate finance more stringently, eliminate most kinds of complex derivatives, harmonize capital gains tax rates to ordinary income rates, and remove the arbitrary cap on payroll taxes; I’ve been arguing for all of those things for years. What about any of these policies is anti-meritocratic? I don’t see it.
More controversially, he wants to try to re-organize production to provide more opportunities for mid-skill labor. In some industries I’m not sure that’s possible: The 10X programmer is a real phenomenon, and even mediocre programmers and engineers can make software and machines that are a hundred times as productive as doing the work by hand would be. But some of his suggestions make sense, such as policies favoring nurse practitioners over specialist doctors and legal secretaries instead of bar-certified lawyers. (And please, please reform the medical residency system! People die from the overwork caused by our medical residency system.)
But I really don’t see how not educating people or assigning people to jobs they aren’t good at would help matters—which means that meritocracy, as I understand the concept, is not to blame after all.
Why is it so difficult to write well? Why is it that those of us who write the most often find it the most agonizing?
My guess is that many other art forms are similar, but writing is what I know best.
I have come to realize that there are four major factors which determine the quality of someone’s writing, and the pain and challenge of writing comes from the fact that they are not very compatible with one another.
The first is talent. To a certain degree, one can be born a better or worse writer, or become so through forces not of one’s own making. This one costs nothing to get if you already have it, but if you don’t have it, you can’t really acquire it. If you do lack talent, that doesn’t mean you can’t write; but it does limit how successful you are likely to be at writing. (Then again, some very poorly-written books have made some very large sums of money!) It’s also very difficult to know whether you really have talent; people tell me I do, so I suppose I believe them.
The second is practice. You must write and keep on writing. You must write many things in many contexts, and continue to write despite various pressures and obstacles trying to stop you from writing. Reading is also part of this process, as we learn new ways to use words by seeing how others have used them. In fact, you should read more words than you write.
The third is devotion. If you are to truly write well, you must pour your heart and soul into what you write. I can tell fairly quickly whether someone is serious about writing or not by seeing how they react to the metaphor I like to use: “I carve off shards of my soul and assemble them into robots that I release into the world; and when the robots fail, I wonder whether I have assembled them incorrectly, or if there is something fundamentally wrong with my soul itself.” Most people react with confusion. Serious writers nod along in agreement.
The fourth is criticism. You must seek out criticism from a variety of sources, you must accept that criticism, and you must apply it in improving your work in the future. You must avoid becoming defensive, but you must also recognize that disagreement will always exist. You will never satisfy everyone with what you write. The challenge is to satisfy as much of your target audience as possible.
And therein lies the paradox: For when you have devoted your heart and soul into a work, receiving criticism on it can make you want to shut down, wanting to avoid that pain. And thus, you stop practicing, and you stop improving.
What can be done about this?
I am told that it helps to “get a thick skin”, but seeing as I’ve spent the better part of my life trying to do that and failed completely, this may not be the most useful advice. Indeed, even if it can be done it may not be worth it: The most thick-skinned people I know of are generally quite incompetent at whatever they do, because they ignore criticism. There are two ways to be a narcissist: One is to be so sensitive to criticism that you refuse to hear it; the other is to be so immune to criticism that it has no effect on you. (The former is “covert narcissism”, the latter is “overt narcissism”.)
One thing that does seem to help is learning to develop some measure of detachment frrom your work, so that you can take criticism of your work as applying to that work and not to yourself. Usually the robots really are just misassembled, and there’s nothing wrong with your soul.
But this can be dangerous as well: If you detach yourself too much from your work, you lose your devotion to it, and it becomes mechanically polished but emotionally hollow. If you optimize over and over to what other people want, it eventually stops being the work that had meaning for you.
Perhaps what ultimately separates good writers from everyone else is not what they can do, but what they feel they must do: Serious writers feel a kind of compulsion to write, an addiction to transferring thoughts into words. Often they don’t even particularly enjoy it; they don’t “want” to write in the ordinary sense of the word. They simply must write, feeling as though they die or go mad if they ever were forced to stop. It is this compulsion that gets them to persevere in the face of failure and rejection—and the self-doubt that rejection drives.
And if you don’t feel that compulsion? Honestly, maybe you’re better off than those of us who do.
You’ve probably heard the saying before: “It was the straw that broke the camel’s back.” Something has been building up for a long time, with no apparent effect; then suddenly it crosses some kind of threshold and the effect becomes enormous.
Some real-world systems do behave like this: Avalanches, for instance. There is a very sharp critical threshold at which snow suddenly becomes unstable and triggers an avalanche.
This is how weight works in many video games, and it seems ridiculous: In Skyrim, for instance, one 1-pound cheese wheel can mean the difference between being able to function normally and being unable to move. Fear not, however: You can simply eat that cheese wheel and then be on your way.
But most real-world systems aren’t like this. In particular, camels are not. Yes, zero pieces of straw will not break a camel’s back, and some quantity of straw will. No, there is not a well-defined threshold at which adding just one piece of straw will kill the camel. This is one of those times where formal mathematical modeling can help us to see things that we otherwise couldn’t.
If this seems too frivolous, consider that this model need not be about camels: It could be about the weight a bridge can hold, or the amount of pollution a region can sustain, or the amount of psychological stress a person can bear. I think applying it to psychological stress is particularly appropriate at the moment: COVID-19 has suddenly thrust us all above our usual level of stress, and it’s important to understand where our limits lie.
A really strict formal model useful for engineering purposes would be a stress-strain curve, showing the relationship between stress(the amount of force applied) and strain(the amount of deformation of the object). But for this purpose there are basically two regimes to consider:
Below some weight y (the yield strength)the camel’s back will compress under the weight, but once the weight is removed it will return to normal. A healthy camel can carry up to y in straw essentially indefinitely.
Above that point, additional weight will begin to strain the camel’s back. But this damage will not all occur at once; a larger amount of weight for a shorter time will have the same effect as a smaller amount of weight for a longer time.
The total strain on the camel will thus look something like this, for exposure time t: (w-y)t
There is a total amount of strain that the camel can take without breaking its back. This has units of momentum, so I’m going to use p.
What is the amount of straw that breaks the camel’s back? Well, that depends on how long it is there!
If you are hoping to carry a certain load of straw by camel over a certain distance, and need to know how many camels to use (or how many trips to take), you would figure out how long it takes to cover that distance, then use that as your time parameter to figure out the maximum weight a camel could carry for that long.
So what would happen if you actually added one piece of straw at a time to a camel’s back? That depends on how fast you add them and how long you leave them there!
Imagine for a moment a hypothetical being who was a perfect utilitarian, who truly felt at the deepest level an equal caring for all human beings—or even all life.
We often imagine that such a being would be perfectly moral, and sometimes chide ourselves for failing so utterly to live up to its ideal. Today I’d like to take a serious look at how such a being would behave, and ask whether it is really such a compelling ideal after all.
I cannot feel sadness at your grandmother’s death, for over 150,000 people die every day. By far the highest QALY lost are the deaths of children in the poorest countries, and I feel sad for them as an aggregate, but couldn’t feel particularly saddened by any individual one.
My happiness does not change from hour to hour or day to day, except as a slow, steady increase over time that is occasionally interrupted briefly by sudden disasters like hurricanes or tsunamis. 2020 was the saddest year I’ve had in awhile, as for once there was strongly correlated suffering across the globe sufficient to break through the trend of steadily increasing prosperity.
Should we go out with friends for drinks or dinner or games, I’ll be ever-so-slightly happier, some barely perceptible degree, provided that there is no coincidental event which causes more than the baseline rate of global suffering that day. And I’d be just as happy to learn that someone else I’d never met went out to dinner with someone else I’d also never met.
Of course I love you, my dear: Precisely as much as I love the other eight billion people on Earth.
I hope now that you can see how flat, how bleak, how inhuman such a being’s experience would be. We might sometimes wish some respite from the roller coaster ride of our own emotional experiences, but in its place this creature feels almost nothing at all, just a vague sense of gradually increasing contentment which is occasionally interrupted by fleeting deviations from the trend.
Such a being is incapable of feeling love as we would recognize it—for a mind such as ours could not possibly feel so intensely for a billion people at once. To love all the people of the world equally, and still have anything resembling a human mind, is to love no one at all.
Perhaps we should not feel so bad that we are not such creatures, then?
Of course I do not mean to say that we should care nothing for distant strangers in foreign lands, or even that the tiny amount most people seem to care is adequate. We should care—and we should care more, and do more, than most people do.
But I do mean to say that it is possible to care too much about other people far away, an idea that probably seems obvious to some but radical to others. The human capacity for caring is not simply zero-sum—there are those who care more overall and less overall—but I do believe that it is limited: At some point you begin to sacrifice so much for those you have no attachments to that you begin to devalue your own attachments.
There is an interior optimum: We should care enough, but not too much. We should sacrifice some things, but not everything. Those closest to us should matter morethan those further away—but both should matter. Where exactly to draw that line is a very difficult question, which has stumped far greater philosophers than I; but at least we can narrow the space and exclude the endpoints.
This may even make a certain space for morally justifying selfishness. Surely it does not justify total, utter selfishness with no regard for the suffering of others. But it defends self-care at the very least, and perhaps can sweep away some of the feelings of guilt we may have from being fortunate or prevailing in fair competition. Yes, much of what you have was gained by sheer luck, and even much of what you have earned, you earned by out-competing someone else nearly as deserving. But this is true of everyone, and as long as you played fair, you’ve not done wrong by doing better. There’s even good reason to think that a system which allocates its privileges by fair competition is a particularly efficient one, one which ultimately raises the prosperity of all.
If nothing else, reflecting on this has made me feel better about giving 8% of my gross income to charity instead of 20% or 50% or even 80%. And if even 8% is too much for you, try 2% or even 1%.
This is not how the system should work. The death of a single person should not result in the loss of rights for hundreds of millions of other people. Democracy and rule of law are supposed to protect us from this kind of capricious government.
What can we do to fix this system? We obviously do need some kind of judicial branch, but it may not need to be a Supreme Court as we know it.
First, we should fight tooth and nail to block whoever Trump nominates, just as Republicans blocked Merrick Garland. Once again I find myself agreeing with Jacobin.
The next step is clearly to pack the court: Congress can pass a law increasing the number of Supreme Court seats, and then the President can appoint new justices to those seats. Add 8 seats to the existing 9 and you regain a strong liberal majority.
After that, pass a Constitutional amendment to prevent future court-packing. Otherwise we just get a cycle of retaliation in which the Supreme Court doubles in size with every new administration. This amendment should also include term limits for justices, so that new justices are appointed on a regular schedule instead of whenever one happens to retire or die.
Let me emphasize that this plan is 100% legal and Constitutional. It feels unfair and underhanded, and it is certainly playing hardball; but there is nothing illegal about it. This is exactly how we need to respond to fascism: Follow all the rules of democracy to the letter, but otherwise it’s scorched earth. No doubt Republicans would complain that we are violating standards and norms—but they’ve done far worse.
In order to achieve this, we need to win elections across the board. The Presidency is not nearly enough; we need to take control of both houses of Congress (to pack the court) and most of the state legislatures as well (to pass a Constitutional amendment).
But this may not be enough. We should ask whether the Supreme Court as an institution is worth keeping around, or if we could replace it with something better.
We clearly do need some sort of judiciary, and probably some kind of top-level court to act as the court of last resort. In that sense, I guess we need a Supreme Court.
There are certainly many legitimate criticisms to be made against capitalism, particularly unregulated, unfettered capitalism. But many of the criticisms the left likes to offer against capitalism really don’t hold water, and one of them is the assertion that capitalism is bad for the environment.
If you sort countries by their per-capita greenhouse emissions, the worst offenders are Kuwait, Brunei, Qatar, Oman, and Bahrain—small, oil-producing countries in the Middle East. The US and Canada also do pretty badly, and are certainly quite capitalist; but so do Libya, Kazakhstan, and Turkmenistan, not exactly known for their devotion to free markets.
I think this in fact too generous to socialist countries. We really should adjust for GDP per capita. It’s easy to produce zero pollution: Just let everyone starve to death. And if that sounds extreme, consider that millions of people literally did starve to death under Stalin and Mao. It’s a fair question whether we really need the high standard of living we have become accustomed to in the First World; perhaps we could afford to cut back. But clearly some kind of adjustment is necessary: A country is obviously doing better if they can produce more GDP for the same carbon emissions.
Therefore, let’s see what happens when we rank countries by kilograms of CO2 emissions per dollar of GDP. The highest polluters are then the Central African Republic, Belize, Libya, Gambia, Eritrea, Niger, Grenada, Palau… not a First World country among them. CAR produces a horrifying 126 tons of CO2 per $10,000 of GDP. The US is near the world average at about 3.0 tons of CO2 per $10,000 of GDP, and as usual Scandinavia Is Better with about 1 ton of CO2 per $10,000 of GDP. China does worse than the US, at about 4.0 tons of CO2 per $10,000 of GDP. Russia and most of the former Soviet Union does substantially worse, generally around 5.0 tons of CO2 per $10,000 of GDP.
Then again, these figures use production-based accounting; perhaps we should be using consumption-based accounting, so that First World countries can’t simply offshore their emissions. The data is less complete and probably less reliable, but it’s still pretty clear that the highest per-capita emissions are in small oil-exporting countries in the Middle East, like Qatar and Brunei.
Moreover, on consumption-based accounting, the highest emissions per dollar of GDP are in Mongolia, Namibia, Ukraine, South Africa, and Kazakhstan. The US actually does better at 2.6 tons of CO2 per $10,000 of GDP, while Scandinavia is still at about 1 ton of CO2 per $10,000 of GDP. China closes the gap, but still does worse than the US, at about 3.0 tons of CO2 per $10,000 of GDP.
No matter how you slice it, the US just isn’t the world’s worst polluter, and we only look like we are in the top 10 because we are so fabulously rich. If it were generally true that higher wealth always comes with proportionally higher pollution, then perhaps capitalism could be blamed for producing all this pollution—though then we’d have a difficult tradeoff to make between reducing pollution and increasing wealth. But in fact there is wide variation in the ecological efficiency of an economy; nuclearize your energy grid like France did and you can cut your emissions in half. Do whatever Scandanavia does and you can do even better.
Now I suppose it would be fair to say that France and Scandinavia are less capitalist than the United States; they certainly have much stronger social welfare states (including universal healthcare) and more redistribution of wealth. But they’re still quite capitalist. They have robust free-market economies, thousands of for-profit corporations, and plenty of billionaires. France has 41 billionaires among 65 million people, just a slightly lower rate of billionaires-per-capita than the US. Sweden has 31 billionaires among 10 million people, a substantially higher rate of billionaires-per-capita than the US. It may be that the optimal level of capitalism for environmental sustainability is not 100%; but it doesn’t seem to be anywhere near 0% either. National Review overstates the case a little (I mean, they are National Review), but I don’t think they are wrong when they say that socialism is bad for the environment.
Indeed, it seems quite important that France and Scandinavia are democratic (by some measures the most democratic places in the world), while China and Russia are authoritarian. It’s not hard to see why democracy would be good for the environment: It solves the Tragedy of the Commons by including the interests of everyone who is impacted by pollution. Policies that produce really catastrophic pollution tend to get leaders voted out.
The rather surprising result is that empirically there doesn’t appear to be a strong effect of democracy on environmental sustainability either. There’s some evidence that it helps, but it seems to depend upon a lot of factors, and on some measures democracy may actually make matters worse. I honestly don’t have a good explanation for this; I would have expected a really strong benefit, since the theoretical argument is quite strong: Voters have strong reasons to want clean air and water, while dictators don’t (especially water, which they can easily pay to import).
Perhaps capitalism is bad for the environment, but democracy is good, and the two sort of cancel out? But there isn’t even much reason theoretically to think that capitalism would be worse for the environment. Private ownership yields private stewardship, and poisoning your employees and customers is not good business. Yes, some forms of pollution spread out far enough that they become a Tragedy of the Commons; but it’s actually hard to find clear examples where pollution spreads far enough to be a Tragedy of the Commons for a corporation but doesn’t spread far enough to be a Tragedy of the Commons for a whole country. Some multinational corporations are large enough that they probably have more reason to care about the environment than many small countries—Walmart’s total revenue is nearly 15 times higher than Brunei’s total GDP. Indeed, one of the few upsides of concentrated oligopolies is that they are less likely to pollute!
I can understand why it’s tempting to blame capitalism for the degradation of the environment. Indeed, if the argument could stick, it would be a really compelling reason to dismantle capitalism—we simply cannot continue to degrade the environment at the rate we have been for much longer. But empirically it just doesn’t work; whatever determines a country’s ecological sustainability or lack thereof, it’s something subtler than capitalism versus socialism—or even democracy versus authoritarianism.
The sheepskin effect is the observation that the increase in income from graduating from college after four years, relative going through college for three years, is much higher than the increase in income from simply going through college for three years instead of two.
In both models, we’ll assume that markets are competitive but productivity is not directly observable, so employers sort you based on your education level and then pay a wage equal to the average productivity of people at your education level, compensated for the cost of getting that education.
In this model, people all start with the same productivity, and are randomly assigned by their life circumstances to go to either 0, 1, 2, 3, or 4 years of college. College itself has no long-term cost.
The first year of college you learn a lot, the next couple of years you don’t learn much because you’re trying to find your way, and then in the last year of college you learn a lot of specialized skills that directly increase your productivity.
So this is your productivity after x years of college:
Years of college
We assumed that you’d get paid your productivity, so these are also your wages.
The increase in income each year goes from +7, to +5, to +3, then jumps up to +6. So if you compare the 4-year-minus-3-year gap (+6) with the 3-year-minus-2-year gap (+3), you get a sheepskin effect.
In this model, college is useless and provides no actual benefits. People vary in their intrinsic productivity, which is also directly correlated with the difficulty of making it through college.
In particular, there are five types of people:
Cost per year of college
The wages for different levels of college education are as follows:
Years of college
Notice that these are exactly the same wages as in scenario 1. This is of course entirely intentional. In a moment I’ll show why this is a Nash equilibrium.
Consider the choice of how many years of college to attend. You know your type, so you know the cost of college to you. You want to maximize your net benefit, which is the wage you’ll get minus the total cost of going to college.
Let’s assume that if a given year of college isn’t worth it, you won’t try to continue past it and see if more would be.
For a type-0 person, they could get 10 by not going to college at all, or 17-(1)(8) = 9 by going for 1 year, so they stop.
For a type-1 person, they could get 10 by not going to college at all, or 17-(1)(6) = 11 by going for 1 year, or 22-(2)(6) = 10 by going for 2 years, so they stop.
Filling out all the possibilities yields this table:
Years \ Type
I’d actually like to point out that it was much harder to find numbers that allowed me to make the sheepskin effect work in the second model, where education was all signaling. In the model where education provides genuine benefit, all I need to do is posit that the last year of college is particularly valuable (perhaps because high-level specialized courses are more beneficial to productivity). I could pretty much vary that parameter however I wanted, and get whatever magnitude of sheepskin effect I chose.
For the signaling model, I had to carefully calibrate the parameters so that the costs and benefits lined up just right to make sure that each type chose exactly the amount of college I wanted them to choose while still getting the desired sheepskin effect. It took me about two hours of very frustrating fiddling just to get numbers that worked. And that’s with the assumption that someone who finds 2 years of college not worth it won’t consider trying for 4 years of college (which, given the numbers above, they actually might want to), as well as the assumption that when type-3 individuals are indifferent between staying and dropping out they drop out.
And yet the sheepskin effect is supposed to be evidence that the world works like the signaling model?
I’m sure a more sophisticated model could make the signaling explanation a little more robust. The biggest limitation of these models is that once you observe someone’s education level, you immediately know their true productivity, whether it came from college or not. Realistically we should be allowing for unobserved variation that can’t be sorted out by years of college.
Maybe it seems implausible that the last year of college is actually more beneficial to your productivity than the previous years. This is probably the intuition behind the idea that sheepskin effects are evidence of signaling rather than genuine learning.
So how about this model?
As in the second model, there are four types of people, types 0, 1, 2, 3, and 4. They all start with the same level of productivity, and they have the same cost of going to college; but they get different benefits from going to college.
The problem is, people don’t start out knowing what type they are. Nor can they observe their productivity directly. All they can do is observe their experience of going to college and then try to figure out what type they must be.
Type 0s don’t benefit from college at all, and they know they are type 0; so they don’t go to college.
Type 1s benefit a tiny amount from college (+1 productivity per year), but don’t realize they are type 1s until after one year of college.
Type 2s benefit a little from college (+2 productivity per year), but don’t realize they are type 2s until after two years of college.
Type 3s benefit a moderate amount from college (+3 productivity per year), but don’t realize they are type 3s until after three years of college.
Type 4s benefit a great deal from college (+5 productivity per year), but don’t realize they are type 4s until after three years of college.
What then will happen? Type 0s will not go to college. Type 1s will go one year and then drop out. Type 2s will go two years and then drop out. Type 3s will go three years and then drop out. And type 4s will actually graduate.
That results in the following before-and-after productivity:
Productivity before college
Years of college
Productivity after college
If each person is paid a wage equal to their productivity, there will be a huge sheepskin effect; wages only go up +1 for 1 year, +3 for 2 years, +5 for 3 years, but then they jump up to +11 for graduation. It appears that the benefit of that last year of college is more than the other three combined. But in fact it’s not; for any given individual, the benefits of college are the same each year. It’s just that college is more beneficial to the people who decided to stay longer.
And I could of course change that assumption too, making the early years more beneficial, or varying the distribution of types, or adding more uncertainty—and so on. But it’s really not hard at all to make a model where college is beneficial and you observe a large sheepskin effect.
Moreover, I agree that it’s worth looking at this: Insofar as college is about sorting or signaling, it’s wasteful from a societal perspective, and we should be trying to find more efficient sorting mechanisms.
But I highly doubt that all the benefits of college are due to sorting or signaling; there definitely are a lot of important things that people learn in college, not just conventional academic knowledge like how to do calculus, but also broader skills like how to manage time, how to work in groups, and how to present ideas to others. Colleges also cultivate friendships and provide opportunities for networking and exposure to a diverse community. Judging by voting patterns, I’m going to go out on a limb and say that college also makes you a better citizen, which would be well worth it by itself.
I probably don’t need to tell you this, but getting a job is really hard. Indeed, much harder than it seems like it ought to be.
Having all but completed my PhD, I am now entering the job market. The job market for economists is quite different from the job market most people deal with, and these differences highlight some potential opportunities for improving job matching in our whole economy—which, since employment is such a large part of our lives, could have wide-ranging benefits for our society.
The most obvious difference is that the job market for economists is centralized: Job postings are made through the American Economic Association listing of Job Openings for Economists (often abbrievated AEA JOE); in a typical year about 4,000 jobs are posted there. All of them have approximately the same application deadline, near the end of the year. Then, after applying to various positions, applicants get interviewed in rapid succession, all at the annual AEA conference. Then there is a matching system, where applicants get to send two “signals” indicating their top choices and then offers are made.
This year of course is different, because of COVID-19. The conference has been canceled, with all of its presentations moved online; interviews will also be conducted online. Perhaps more worrying, the number of postings has been greatly reduced, and based on past trends may be less than half of the usual number. (The number of applicants may also be reduced, but it seems unlikely to drop as much as the number of postings does.)
There are a number of flaws in even this system. First, it’s too focused on academia; very few private-sector positions use the AEA JOE system, and almost no government positions do. So those of us who are not so sure we want to stay in academia forever end up needing to deal with both this system and the conventional system in parallel. Second, I don’t understand why they use this signaling system and not a deferred-acceptance matching algorithm. I should be able to indicate more about my preferences than simply what my top two choices are—particularly when most applicants apply to over 100 positions. Third, it isn’t quite standardized enough—some positions do have earlier deadlines or different application materials, so you can’t simply put together one application packet and send it to everyone at once.
Still, it’s quite obvious that this system is superior to the decentralized job market that most people deal with. Indeed, this becomes particularly obvious when one is participating in both markets at once, as I am. The decentralized market has a wide range of deadlines, where upon seeing an application you may need to submit to it within that week, or you may have several months to respond. Nearly all applications require a resume, but different institutions will expect different content on it. Different applications may require different materials: Cover letters, references, writing samples, and transcripts are all things that some firms will want and others won’t.
Also, this is just my impression from a relatively small sample, but I feel like the AEA JOE listings are more realistic, in the following sense: They don’t all demand huge amounts of prior experience, and those that do ask for prior experience are either high-level positions where that’s totally reasonable, or are willing to substitute education for experience. For private-sector job openings you basically have to subtract three years from whatever amount of experience they say they require, because otherwise you’d never have anywhere you could apply to. (Federal government jobs are a weird case here; they all say they require a lot of experience at a specific government pay grade, but from talking with those who have dealt with the system before, they are apparently willing to make lots of substitutions—private-sector jobs, education, and even hobbies can sometimes substitute.)
I think this may be because the decentralized market has to some extent unraveled. The job market is the epitome of a matching market; unravelingin a matching market occurs when there is fierce competition for a small number of good candidates or, conversely, a small number of good openings. Each firm has the incentive to make a binding offer earlier than the others, with a short deadline so that candidates don’t have time to shop around. As firms compete with each other, they start making deadlines earlier and earlier until candidates feel like they are in a complete crapshoot: An offer made on Monday might be gone by Friday, and you have no way of knowing if you should accept it now or wait for a better one to come along. This is a Tragedy of the Commons: Given what other firms are doing, each firm benefits from making an earlier binding offer. But once they all make early offers, that benefit disappears and the result just makes the whole system less efficient.
The centralization of the AEA JOE market prevents this from happening: Everyone has common deadlines and does their interviews at the same time. Each institution may be tempted to try to break out of the constraints of the centralized market, but they know that if they do, they will be punished by receiving fewer applicants.
The fact that the centralized market is more efficient is likely a large part of why economics PhDs have the lowest unemployment rate of any PhD graduates and nearly the lowest unemployment rate of any job sector whatsoever. In some sense we should expect this: If anyone understands how to make employment work, it should be economists. Noah Smith wrote in 2013 (and I suppose I took it to heart): “If you get a PhD, get an economics PhD.” I think PhD graduates are the right comparison group here: If we looked at the population as a whole, employment rates and salaries for economists look amazing, but that isn’t really fair since it’s so much harder to become an economist than it is to get most other jobs. But I don’t think it’s particularly easier to get a PhD in physics or biochemistry than to get one in economics, and yet economists still have a lower unemployment rate than physicists or biochemists. (Though it’s worth noting that any PhD—yes, even in the humanities—will give you a far lower risk of unemployment than the general population.) The fact that we have AEA JOE and they don’t may be a major factor here.
So, here’s my question: Why don’t we do this in more job markets? It would be straightforward enough to do this for all PhD graduates, at least—actually my understanding is that some other disciplines do have centralized markets similar to the one in economics, but I’m not sure how common this is.
The federal government could relatively easily centralize its own job market as well; maybe not for positions that need to be urgently filled, but anything that can wait several months would be worth putting into a centralized system that has deadlines once or twice a year.
But what about the private sector, which after all is where most people work? Could we centralize that system as well?
Most people want a job near where they live, so part of the solution might be to centralize only jobs within a certain region, such as a particular metro area. But if we are limited to open positions of a particular type within a particular city, there might not be enough openings at any given time to be worth centralizing. And what about applicants who don’t care so much about geography? Should they be applying separately to each regional market?
Yet even with all this in mind, I think some degree of centralization would be feasible and worthwhile. If nothing else, I think standardizing deadlines and application materials could make a significant difference—it’s far easier to apply to many places if they all use the same application and accept them at the same time.
Such a change would make our labor markets more efficient, matching people to jobs that fit them better, increasing productivity and likely decreasing turnover. Wages probably wouldn’t change much, but working in a better job for the same wage is still a major improvement in your life. Indeed, job satisfaction is one of the strongest predictors of life satisfaction, which isn’t too surprising given how much of our lives we spend at work.