conference

How do you change a paradigm?

PNRJ core principles, critique of neoclassical economics, current events, personal , , , , , ,

Mar 3 JDN 2458546

I recently attended the Institute for New Economic Thinking (INET) Young Scholars Initiative (YSI) North American Regional Convening (what a mouthful!). I didn’t present, so I couldn’t get funding for a hotel, so I commuted to LA each day. That was miserable; if I ever go again, it will be with funding.

The highlight of the conference was George Akerlof‘s keynote, which I knew would be the case from the start. The swag bag labeled “Rebel Without a Paradigm” was also pretty great (though not as great as the “Totes Bi” totes at the Human Rights Council Time to THRIVE conference).

The rest of the conference was… a bit strange, to be honest. They had a lot of slightly cheesy interactive activities and exhibits; the conference was targeted at grad students, but some of these would have drawn groans from my more jaded undergrads (and “jaded grad student” is a redundancy). The poster session was pathetically small; I think there were literally only three posters. (Had I known in time for the deadline, I could surely have submitted a poster.)

The theme of the conference was challenging the neoclassical paradigm. This was really the only unifying principle. So we had quite an eclectic mix of presenters: There were a few behavioral economists (like Akerlof himself), and some econophysicists and complexity theorists, but mostly the conference was filled with a wide variety of heterodox theorists, ranging all the way from Austrian to Marxist. Also sprinkled in were a few outright cranks, whose ideas were just total nonsense; fortunately these were relatively rare.

And what really struck me about listening to the heterodox theorists was how mainstream it made me feel. I went to a session on development economics, expecting randomized controlled trials of basic income and maybe some political economy game theory, and instead saw several presentations of neo-Marxist postcolonial theory. At the AEA conference I felt like a radical firebrand; at the YSI conference I felt like a holdout of the ancien regime. Is this what it feels like to push the envelope without leaping outside it?

The whole atmosphere of the conference was one of “Why won’t they listen to us!?” and I couldn’t help but feel like I kind of knew why. All this heterodox theory isn’t testable. It isn’t useful. It doesn’t solve the problem. Even if you are entirely correct that Latin America is poor because of colonial and neocolonial exploitation by the West (and I’m fairly certain that you’re not; standard of living under the Mexica wasn’t so great you know), that doesn’t tell me how to feed starving children in Nicaragua.

Indeed, I think it’s notable that the one Nobel Laureate they could find to speak for us was a behavioral economist. Behavioral economics has actually managed to penetrate into the mainstream somewhat. Not enough, not nearly quickly enough, to be sure—but it’s happening. Why is it happening? Because behavioral economics is testable, it’s useful, and it solves problems.

Indeed, behavioral economics is more testable than most neoclassical economics: We run lab experiments while they’re adding yet another friction or shock to the never-ending DSGE quagmire.

And we’ve already managed to solve some real policy problems this way, like Alvin Roth’s kidney matching system and Richard Thaler’s “Save More Tomorrow” program.

The (limited) success of behavioral economics came not because we continued to batter at the gates of the old paradigm demanding to be let in, but because we tied ourselves to the methodology of hard science and gathered irrefutable empirical data. We didn’t get as far as we have by complaining that economics is too much like physics; we actually made it more like physics. Physicists do experiments. They make sharp, testable predictions. They refute their hypotheses. And now, so do we.

That said, Akerlof was right when he pointed out that the insistence upon empirical precision has limited the scope of questions we are able to ask, and kept us from addressing some of the really vital economic problems in the world. And neoclassical theory is too narrow; in particular, the ongoing insistence that behavior must be modeled as perfectly rational and completely selfish is infuriating. That model has clearly failed at this point, and it’s time for something new.

So I do think there is some space for heterodox theory in economics. But there actually seems to be no shortage of heterodox theory; it’s easy to come up with ideas that are different from the mainstream. What we actually need is more ways to constrain theory with empirical evidence. The goal must be to have theory that actually predicts and explains the world better than neoclassical theory does—and that’s a higher bar than you might imagine. Neoclassical theory isn’t an abject failure; in fact, if we’d just followed the standard Keynesian models in the Great Recession, we would have recovered much faster. Most of this neo-Marxist theory struck me as not even wrong: the ideas were flexible enough that almost any observed outcome could be fit into them.

Galileo and Einstein didn’t just come up with new ideas and complain that no one listened to them. They developed detailed, mathematically precise models that could be experimentally tested—and when they were tested, they worked better than the old theory. That is the way to change a paradigm: Replace it with one that you can prove is better.

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.