Month: January 2019

I don’t care what happened in that video

PNRJ current events, development economics, ethics, heuristics and biases, inequality , , , , , , , , , ,

Jan 27 JDN 2458511

Right now there is an ongoing controversy over a viral video of a confrontation between young protesters wearing MAGA hats and an elderly Native American man. Various sources are purporting to show “a fuller picture” and “casting new light” and showing “a different side”. Others are saying it’s exactly as bad as it looks.

I think it probably is as bad as it looks, but the truth is: I don’t care. This is a distraction.

If you think litigating the precise events of this video is important, you are suffering from a severe case of scope neglect. You are looking at a single event between a handful of people when you should be looking at the overall trends of a country of over 300 million people.

First of all: The government shutdown only just ended. There are still going to be a lot of pieces to pick up. That’s what we should be talking about. That’s what we should be posting about. That’s what we should be calling Senators about. This is a national emergency. The longer this lasts, the worse it is going to get. People will die because of this shutdown—from tainted food and polluted water and denied food stamps. Our national security is being jeopardized—particularly with regard to cybersecurity.

The shutdown was also a completely unforced error. Government shutdowns shouldn’t even exist, and now that this one is over, we need to change the budget process so that this can never happen again.

And if you want to talk about the racist, sexist, and authoritarian leanings of Trump supporters, that’s quite important too. But it doesn’t hinge upon one person or one confrontation. I’m sure there are Trump supporters who aren’t racist; and I’m sure there are Obama supporters who are. But the overall statistical trend there is extremely strong.

I understand that most people suffer from severe scope neglect, and we have to live in a world filled with such people; so maybe there’s some symbolic value in finding one particularly egregious case that you can put a face on and share with the world. But if you’re going to do that, there’s two things I’d ask of you:

1. Make absolutely sure that this case is genuine. Nothing will destroy your persuasiveness faster than holding up an ambiguous case as if it were definitive.
2. After you’ve gotten their attention with the single example, show the statistics. There are truths, whole truths, and statistics. If you really want to know something, you use statistics.

The statistics are what this is really about. One person, even a hundred people—that really doesn’t matter. We need to keep our eyes on the millions of people, the directions of entire nations. For a lot of people, looking at numbers is boring; but there are people behind those numbers, and numbers are what tell us what’s really going on in the world.

For example: Trump really does seem to have brought bigotry out in the open. Hate crimes in the US increased for the third year in a row last year.

Then there are his direct policy actions which are human rights violations: The number of children detained at the border has skyrocketed to almost 13,000.

On the other hand, the economy is doing quite well: Unemployment stands at about 4%, and median income is increasing and poverty is decreasing.
Global extreme poverty continues its preciptious decline, but global climate change is getting worse, and already past the point where some serious consequences are going to be unavoidable.

Some indicators are more ambiguous: Corporate profits are near their all-time high, even in inflation-adjusted terms. That could be a sign of an overall good economy—but it also clearly has something to do with redistribution of income toward the wealthy.

Of course, all of those things were true yesterday, and will be true tomorrow. They were true last week, and will be true next week. They don’t lend themselves to a rapid-fire news cycle.

But maybe that means we don’t need a rapid-fire news cycle? Maybe that’s not the best way to understand what’s going on in the world?

Sexism in the economics profession

PNRJ critique of neoclassical economics, current events, ethics , , , , , , , ,

Jan 20 JDN 2458504

I mentioned in my previous post that the economics profession is currently coming to a reckoning with its own sexist biases. Today I’d like to get back to that in more detail.

I think I should include some kind of trigger warning here, because some of this sexism is pretty extreme. In particular, there are going to be references to anal sex, which certainly isn’t something I was expecting to find. I won’t quote anything highly explicit—but I assure you, it exists.

There is reason to believe that these biases are not as bad as they once were. If you compare the cohorts of new economics PhDs to those of the past, or to the professors who have been tenured for many years, the pattern is quite clear: The longer back you look, the fewer women (and racial minorities, and LGBT people) you see.

In part because of the #MeToo movement (which, I really would like to say, has done an excellent job of picking legitimate targets and not publicly shaming the wrong people, unlike almost every other attempt at public shaming via social media), the economics profession is also coming to terms with a related matter, which could be both cause and consequence of these gender disparities: Sexual harassment by economists of their students and junior faculty.

It wasn’t until last year that the AEA officially adopted a Code of Professional Conduct mandating equality of opportunity for women (and minorities, and LGBT people). Of course, sexual harassment has been illegal much longer than that—but it’s probably the most under-reported and under-prosecuted crime in existence. Last year’s AEA conference was the first to include panels specifically on gender and discrimination in economics, and this year’s conference had more.

Grad students have been a big part of this push; hundreds of econ grad students signed an open letter demanding that universities implement reporting and disciplinary systems to deal with sexual harassment in economics (one of the signatories is friend of mine from UCI, though strangely I don’t remember hearing about it, or I would have signed it too).

One of the most prominent economists accused of repeated sexual harassment unfortunately happens to be the youngest Black person ever to get tenured at Harvard. This would seem to create some tension between gender equality and racial equality. But of course this tension is illusory: There are plenty of other brilliant Black economists they could have hired who aren’t serial sexual harassers.

It’s still dicey for grad students and junior faculty to talk about these things, because of the very real power that senior faculty have over us as committees for dissertations, hiring, and tenure. Some economists who wrote papers about sexism in the profession have chosen to remain anonymous for fear of retaliation.

Part of how this issue has finally gotten so much attention is by concerned economists actually showing it using the methods of social science. One of the most striking studies was a data analysis of the word usage on econjobrumors.com, a job discussion board for PhD grads and junior faculty in economics. (More detail on that study here and also here.)

I’ve bolded the terms that are sexual or suggest bias. I’ve italicized the terms that suggest something involving romantic or family relationships. I’ve underlined the terms actually relevant for economics.
These were the terms most commonly associated with women:

hotter, lesbian, bb, sexism, tits, anal, marrying, feminazi, slut, hot, vagina, boobs, pregnant, pregnancy, cute, marry, levy, gorgeous, horny, crush, beautiful, secretary, dump, shopping, date, nonprofit, intentions, sexy, dated and prostitute.

These were the terms most commonly associated with men:

juicy, keys, adviser, bully, prepare, fought, wharton, austrian, fieckers, homo, genes, e7ee, mathematician, advisor, burning, pricing, fully, band, kfc, nobel, cat, amusing, greatest, textbook, goals, irritate, roof, pointing, episode, and tries.

I imagine the two lists more or less speak for themselves. I’m particularly shocked by the high prevalence of the word “anal”—the sixth-most common word used in threads involving women.

Who goes to an economics job forum and starts talking about anal sex?

I actually did a search on “anal” to see what sort of things were being discussed: This thread is apparently someone trying to decide where he should work based on “Girls of which country are easiest to get?”, so basically sex tourism as job market planning. Here’s another asking (perhaps legitimately) about the appropriate social norm for splitting vacation costs with a girlfriend, and someone down the thread recommends that in exchange for paying, he should expect her to provide him with anal sex. This one starts with a man lamenting that his girlfriend dumped him on his birthday (that’s a dick move by the way), but somehow veers off into a discussion of whether anal sex is overrated. And this one is just off the bat about frequency of sexual encounters.
So yeah, I’m really not surprised that there aren’t a lot of women on these so-called “job discussion boards”.

The only bias-related word associated with men was “homo”—so it’s actually a homophobic bias, itself indicative of sexism and a profession dominated by cisgender straight White men. I’m not entirely sure that “juicy” was intended to be sexualized (one could also speak of “juicy ideas”), but I’ll assume it was just to conservatively estimate the gender disparity.

Also of special note are “fieckers” and “e7ee”, which refer to specific users, who, despite being presumably economists, caused a great deal of damage to the discussion boards. “fieckers” was an idiosyncratic word that one user used in a variety of sexist and homophobic troll posts, while “e7ee” is the hexadecimal code for one of the former moderators, who apparently uilaterally deleted and moved threads in order to tilt the entire discussion board toward right-wing laissez-faire economics.

Of course, that one discussion board isn’t representative of the entire profession. As anyone who has ever visited 4chan knows, discussion boards can be some of the darkest places on the Internet.

Clearer evidence of discrimination where it counts can be found in citation studies, which have found that papers published by women in top economics journals are more highly cited than papers published by men in the same journals.

What does that mean? Well, it’s the same reason that female stock brokers outperform male brokers and firms with more female executives are more profitable. Women are held to a higher standard than men, so in order to simply get in, women have to be more competent and produce higher-quality output.

Admittedly, citation count is far from a perfect measure of research quality (and for that matter profit is far from a perfect measure of a well-run corporation). But this is very clear evidence of actual discrimination. Not innate differences in preferences, not differences in talent—actual discrimination. It’s less clear where and how the discrimination is happening. Are journals simply not accepting good papers if they see female authors? (This is possible, because most top journals in economics don’t use double-blind peer review anymore—for quite flimsy reasons, in my opinion). Are there not enough mentors for women in academia? Are women moving to more accepting fields before they even enter grad school? Are they being pushed out by harassment as grad students? Likely all of these are part of the story.

There’s reason to think that economic ideology has contributed to this problem. If you think of the world in neoclassical laissez-faire terms, where markets are perfect and always lead to the best outcome, then you are likely to be blind to bias and discrimination, because a perfect market would obviously eliminate such things. This is why the recognition of bias has largely come from empirical studies of labor markets, and to a lesser extent from experiments and more left-wing theorists. If you assert that markets are perfectly efficient, labor economists are likely to laugh in your face, while a surprising number of macro theorists will nod and ask you to continue.

Interestingly, recent field experiments on bias in hiring of new faculty did not find any bias against women in economics (and found biases toward women in several other fields). Of course, that doesn’t mean there never was such bias; but perhaps we’ve actually managed to remove it. So that’s one major avenue of discrimination we maybe finally have under control. Only several dozen left to go?

My first AEA conference

PNRJ current events, personal , , , , , , , , , , ,

Jan 13 JDN 2458497

The last couple of weeks have been a bit of a whirlwind for me. I submitted a grant proposal, I have another, much more complicated proposal due next week, I submitted a paper to a journal, and somewhere in there I went to the AEA conference for the first time.

Going to the conference made it quite clear that the race and gender disparities in economics are quite real: The vast majority of the attendees were middle-aged White males, all wearing one of either two outfits: Sportcoat and khakis, or suit and tie. (And almost all of the suits were grey or black and almost all of the shirts were white or pastel. Had you photographed in greyscale you’d only notice because the hotel carpets looked wrong.) In an upcoming post I’ll go into more detail about this problem, what seems to be causing it, and what might be done to fix it.

But for now I just want to talk about the conference itself, and moreover, the idea of having conferences—is this really the best way to organize ourselves as a profession?

One thing I really do like about the AEA conference is actually something that separates it from other professions: The job market for economics PhDs is a very formalized matching system designed to be efficient and minimize opportunities for bias. It should be a model for other job markets. All the interviews are conducted in rapid succession, at the conference itself, so that candidates can interview for positions all over the country or even abroad.

I wasn’t on the job market yet, but I will be in a few years. I wanted to see what it’s like before I have to run that gauntlet myself.

But then again, why did we need face-to-face interviews at all? What do they actually tell us?

It honestly seems like a face-to-face interview is optimized to maximize opportunities for discrimination. Do you know them personally? Nepotism opportunity. Are they male or female? Sexism opportunity. Are they in good health? Ableism opportunity. Do they seem gay, or mention a same-sex partner? Homophobia opportunity. Is their gender expression normative? Transphobia opportunity. How old are they? Ageism opportunity. Are they White? Racism opportunity. Do they have an accent? Nationalism opportunity. Do they wear fancy clothes? Classism opportunity. There are other forms of bias we don’t even have simple names for: Do they look pregnant? Do they wear a wedding band? Are they physically attractive? Are they tall?

You can construct your resume review system to not include any of this information, by excluding names, pictures, and personal information. But you literally can’t exclude all of this information from a face-to-face interview, and this is the only hiring mechanism that suffers from this fundamental flaw.

If it were really about proving your ability to do the job, they could send you a take-home exam (a lot of tech companies actually do this): Here’s a small sample project similar to what we want you to do, and a reasonable deadline in which to do it. Do it, and we’ll see if it’s good enough.

If they want to offer an opportunity for you to ask or answer specific questions, that could be done via text chat—which could be on the one hand end-to-end encrypted against eavesdropping and on the other hand leave a clear paper trail in case they try to ask you anything they shouldn’t. If they start asking about your sexual interests in the digital interview, you don’t just feel awkward and wonder if you should take the job: You have something to show in court.

Even if they’re interested in things like your social skills and presentation style, those aren’t measured well by interviews anyway. And they probably shouldn’t even be as relevant to hiring as they are.

With that in mind, maybe bringing all the PhD graduates in economics in the entire United States into one hotel for three days isn’t actually necessary. Maybe all these face-to-face interviews aren’t actually all that great, because their small potential benefits are outweighed by their enormous potential biases.

The rest of the conference is more like other academic conferences, which seems even less useful.

The conference format seems like a strange sort of formality, a ritual that we go through. It’s clearly not the optimal way to present ongoing research—though perhaps it’s better than publishing papers in journals, which is our current gold standard. A whole bunch of different people give you brief, superficial presentations of their research, which may be only tangentially related to anything you’re interested in, and you barely even have time to think about it before they go on to the next once. Also, seven of these sessions are going on simultaneously, so unless you have a Time Turner, you have to choose which one to go to. And they are often changed at the last minute, so you may not even end up going to the one you thought you were going to.

I was really struck by how little experimental work was presented. I was under the impression that experimental economics was catching on, but despite specifically trying to go to experiment-related sessions (excluding the 8:00 AM session for migraine reasons), I only counted a handful of experiments, most of them in the field rather than the lab. There was a huge amount of theory and applied econometrics. I guess this isn’t too surprising, as those are the two main kinds of research that only cost a researcher’s time. I guess in some sense this is good news for me: It means I don’t have as much competition as I thought.

Instead of gathering papers into sessions where five different people present vaguely-related papers in far too little time, we could use working papers, or better yet a more sophisticated online forum where research could be discussed in real-time before it even gets written into a paper. We could post results as soon as we get them, and instead of conducting one high-stakes anonymous peer review at the time of publication, conduct dozens of little low-stakes peer reviews as the research is ongoing. Discussants could be turned into collaborators.

The most valuable parts of conferences always seem to be the parts that aren’t official sessions: Luncheons, receptions, mixers. There you get to meet other people in the field. And this can be valuable, to be sure. But I fear that the individual gain is far larger than the social gain: Most of the real benefits of networking get dissipated by the competition to be better-connected than the other candidates. The kind of working relationships that seem to be genuinely valuable are the kind formed by working at the same school for several years, not the kind that can be forged by meeting once at a conference reception.

I guess every relationship has to start somewhere, and perhaps more collaborations have started that way than I realize. But it’s also worth asking: Should we really be putting so much weight on relationships? Is that the best way to organize an academic discipline?

“It’s not what you know, it’s who you know” is an accurate adage in many professions, but it seems like research should be where we would want it least to apply. This is supposed to be about advancing human knowledge, not making friends—and certainly not maintaining the old boys’ club.

Government shutdowns are pure waste

PNRJ current events, public policy, Uncategorized , , , , , ,

Jan 6 JDN 2458490
At the time of writing, the US federal government is still shut down.

The US government has been shut down in this way 22 times—all of them since 1976. Most countries don’t do this. The US didn’t do it for most of our history. Please keep that in mind: This was an entirely avoidable outcome that most countries never go through.

The consequences of a government shutdown are pure waste on an enormous scale. Most government employees get furloughed without pay, which means they miss their credit card and mortgage payments while they wait for their back pay after the shutdown ends. (And this one happened during Christmas!) Contractors have it even worse: They get their contracts terminated and may never see the money they were promised. This has effects on our whole economy; the 2013 shutdown removed a full $24 billion from the US economy, and the current shutdown is expected to drain $6 billion per week. The government itself is taking losses of about $1 billion per week, mostly in the form of unpaid and unaudited taxes.

I personally don’t know what’s going to happen to an NSF grant proposal I’ve been writing for several weeks: Almost the entire NSF has been furloughed as “non-essential” (most of the military remains operative; almost all basic science gets completely shut down—insert comment about the military-industrial complex here), and in 2013 some of the dissertation grants were outright canceled because of the shutdown.

Why do these shutdowns happen?

A government shutdown occurs when the omnibus appropriations bill fails to pass. This bill is essentially the entire US federal budget in a single bill; like any other bill, it has to be passed by both houses of Congress and signed by the President.

For some reason, our government decided that if this process doesn’t happen on schedule, the correct answer is to shut down all non-essential government services. This is a frankly idiotic answer. The obviously correct solution is that if Congress and the President can’t agree on a new budget, the old budget gets renewed in its entirety with a standard COLA inflation adjustment. This really seems incredibly basic: If the government can’t agree on how to change something, the status quo should remain in effect until they do. And the status quo is an inflation-adjusted version of the existing budget.

This particular shutdown occurred because of Donald Trump’s brinksmanship on the border wall: He demanded at least $5 billion, and the House wouldn’t give it to him.

It won’t be much longer before we’ve already lost more money on the shutdown than that $5 billion; this may tempt you to say that the House should give in. But the wall won’t actually do anything to make our nation safer or better, and building it would displace thousands of people by eminent domain and send an unquestionable signal of xenophobia to the rest of the world. Frankly it sickens me that there were not enough principled Republicans to stand their ground against Trump’s madness; but at least there are now Democrats standing theirs.

Make no mistake: This is Trump’s shutdown, and he said so himself. The House even offered to do what should be done by default, which is renew the old budget while negotiations on the border wall continue—Trump refused this offer. And Trump keeps changing his story with every new tweet.

But the real problem is that this is even something the President is allowed to do. Vetoing the old budget should restore the old budget, not furlough hundreds of thousands of workers and undermine government services. This is a ludicrous way to organize a government, and seems practically designed to make our government as inefficient, wasteful, and hated as possible. This was an absolutely unforced error and we should be enacting policy rules that would prevent it from ever happening again.