The Goldin Nobel

This week the Nobel Foundation recognized Claudia Goldin “for having advanced our understanding of women’s labour market outcomes”. If you follow our blog you probably already know that each year Marginal Revolution quickly puts up a great explanation of the work that won the economics Prize. This year they kept things brief with a sort of victory lap pointing to their previous posts on Goldin and the videos and podcast they had recorded with her, along with a pointer to her latest paper. You might also remember our own review of her latest book, Career and Family.

But you may not know that Kevin Bryan at A Fine Theorem does a more thorough, and typically more theory-based explanation of the Nobel work most years; here is his main take from this year’s post on Goldin:

Goldin’s work helps us understand whose wages will rise, will fall, will equalize going forward. Not entirely unfairly, she will be described in much of today’s coverage as an economist who studies the gender gap. This description misses two critical pieces. The question of female wages is a direct implication of her earlier work on the return to different skills as the structure of the economy changes, and that structure is the subject of her earliest work on the development of the American economy. Further, her diagnosis of the gender gap is much more optimistic, and more subtle, than the majority of popular discourse on the topic.

He described my favorite Goldin paper, which calculates gender wage gaps by industry and shows that pharmacists moved from having one of the highest gaps to one of the lowest as one key feature of the job changed:

Alongside Larry Katz, Goldin gives the canonical example of the pharmacist, whose gender gap is smaller than almost every other high-wage profession. Why? Wages are largely “linear in hours”. Today, though not historically, pharmacists generally work in teams at offices where they can substitute for each other. No one is always “on call”. Hence a pharmacist who wants to work late nights while young, then shorter hours with a young kid at home, then a longer worker day when older can do so. If pharmacies were structured as independent contractors working for themselves, as they were historically, the marginal productivity of a worker who wanted this type of flexibility would be lower. The structure of the profession affects marginal productivity, hence wages and the gender gap, particularly given the different demand for steady and shorter hours among women. Now, not all jobs can be turned from ones with convex wages for long and unsteady hours to ones with linear wages, but as Goldin points out, it’s not at all obvious that academia or law or other high-wage professions can’t make this shift. Where these changes can be made, we all benefit from high-skilled women remaining in high-productivity jobs: Goldin calls this “the last chapter” of gender convergence.

Source: A Grand Gender Convergence: Its Last Chapter

There is much more to the post, particularly on economic history; it concludes:

When evaluating her work, I can think of no stronger commendation than that I have no idea what Goldin will show me when I begin reading a paper; rather, she is always thoughtful, follows the data, rectifies what she finds with theory, and feels no compunction about sacrificing some golden goose – again, the legacy of 1970s Chicago rears its head. Especially on a topic as politically loaded as gender, this intellectual honesty is the source of her influence and a delight to the reader trying to understand such an important topic.

This year also saw a great summary from Alice Evans, who to my eyes (admittedly as someone who doesn’t work in the subfield) seems like the next Claudia Goldin, the one taking her work worldwide:

That is the story of “Why Women Won”.

Claudia Goldin has now done it all. With empirical rigor, she has theorised every major change in American women’s lives over the twentieth century. These dynamics are not necessarily true worldwide, but Goldin has provided the foundations.

I’ve seen two lines of criticism for this prize. One is the usual critique, generally from the left, that the Econ Nobel shouldn’t exist (or doesn’t exist), to which I say:

The critique from the right is that Goldin studied unimportant subjects and only got the prize because they were politically fashionable. But labor markets make up most of GDP, and women now make up almost half the labor force; this seems obviously important to me. Goldin has clearly been the dominant researcher on the topic, being recognized as a citation laureate in 2020 (i.e. someone likely to win a Nobel because of their citations). At most politics could explain why this was a solo prize (the first in Econ since Thaler in 2017), but even here this seems about as reasonable as the last few solo prizes. David Henderson writes a longer argument in the Wall Street Journal for why Claudia Goldin Deserves that Nobel Prize.

Best of all, Goldin maintains a page to share datasets she helped create here.

The Credibility Revolution: A Nobel for Taking (some of) the CON out of Econometrics

Yesterday Jeremy pointed out that while the 2021 economics Nobelists have reached various conclusions in their study of labor economics, the prize was really awarded to the methods they developed and used.

I find the best explanation of the value of these methods to be this 2010 article by Angrist and Pischke in the Journal of Economic Perspectives: The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics

Like Jeremy, they think that empirical economic research (that is, research using econometrics) was most quite bad up to the 1980’s; as Ed Leamer put it in his paper “Let’s take the CON out of Econometrics”:

This is a sad and decidedly unscientific state of affairs we find ourselves in. Hardly anyone takes data analyses seriously. Or perhaps more accurately, hardly anyone takes anyone else’s data analyses seriously.

Angrist and Pischke argue that the field is in much better shape today:

empirical researchers in economics have increasingly looked to the ideal of a randomized experiment to justify causal inference. In applied micro fields such as development, education, environmental economics, health, labor, and public finance, researchers seek real experiments where feasible, and useful natural experiments if real experiments seem (at least for a time) infeasible. In either case, a hallmark of contemporary applied microeconometrics is a conceptual framework that highlights specific sources of variation. These studies can be said to be design based in that they give the research design underlying any sort of study the attention it would command in a real experiment.

The econometric methods that feature most prominently in quasi-experimental studies are instrumental variables, regression discontinuity methods, and differences-in-differences-style policy analysis

Our field still has big problems: the replication crisis looms, and the credibility revolution’s focus on the experimental ideal leads economists to avoid important questions that can’t be answered by natural experiments. But I do think that the average empirical economics paper today is much more credible than one from 1980, and that the 3 Nobelists are part of the reason why, so cheers to them.