Gender Differences in Economics Seminars

American Economic Review · 2026-01-30

We assess whether men and women are treated differently when presenting their economics research. We collected data across thousands of seminars, job market talks, and conference presentations, leveraging human judgment and audio-processing algorithms to measure the number, tone, and type of interruptions. Within a seminar series, women are interrupted more than men. This holds when controlling for characteristics of the presenter, paper, and audience. Interruptions that are negative in tenor or tone or cut off the presenter mid-sentence increase for women presenters. We also find greater engagement of female audience members with female presenters, suggesting a potential role model effect. (JEL A11, C45, J16, J44)

Know your Place - Employment Decisions among Couples

AEA Randomized Controlled Trials · 2026-03-03

Know your Place - Employment Decisions among Couples

AEA Randomized Controlled Trials · 2026-03-03

Data and Code for: Gender Differences in Economics Seminars

ICPSR Data Holdings · 2025-12-22

We assess whether men and women are treated differently when presenting their research in economics seminars. We collected data on every interaction between presenters and audience members across thousands of seminars, job market talks and conference presentations, leveraging both human judgment and audio processing algorithms to measure the number, tenor, tone and type of interruptions. Within a seminar series, women are interrupted more than men, and this finding holds when controlling for characteristics of the presenter and their paper topic and for audience size. Interruptions that may not be favorable to the presenter, such as those that are negative in tenor or tone, or cutoff the presenter mid-sentence, are common occurrences in economics seminars, and increase for women presenters. We also find greater engagement with female presenters in the form of larger, more diverse audiences, suggesting a potential role model effect.<br>

Experiments: Why, How, and a Users Guide for Producers as Well as Consumers

SSRN Electronic Journal · 2025-01-01

Experiments: Why, How, and A Users Guide for Producers as well as Consumers

National Bureau of Economic Research · 2025-03-01 · 1 citations

This chapter is intended as an introduction to laboratory experiments, when to use, how to evaluate them, why they matter and what are the pitfalls when designing them.I hope that users as well as consumers will find Sections that broaden their views.I start with when an economist might want to run an experiment.I then discuss basic lessons when designing experiments.I introduce a language to start a systematic description of tools we have when designing experiments to show the importance or role of a new model or force in explaining behavior.The penultimate chapter provides an advanced toolkit for running experiments.I end this chapter with my views on preregistration, pre-analysis plans and the need for replications, robustness tests and extensions.

Data and Code for: Gender Differences in Economics Seminars

ICPSR Data Holdings · 2025-12-22

We assess whether men and women are treated differently when presenting their research in economics seminars. We collected data on every interaction between presenters and audience members across thousands of seminars, job market talks and conference presentations, leveraging both human judgment and audio processing algorithms to measure the number, tenor, tone and type of interruptions. Within a seminar series, women are interrupted more than men, and this finding holds when controlling for characteristics of the presenter and their paper topic and for audience size. Interruptions that may not be favorable to the presenter, such as those that are negative in tenor or tone, or cutoff the presenter mid-sentence, are common occurrences in economics seminars, and increase for women presenters. We also find greater engagement with female presenters in the form of larger, more diverse audiences, suggesting a potential role model effect.<br>

Can Competitiveness Predict Education and Labor Market Outcomes? Evidence from Incentivized Choice and Survey Measures

The Review of Economics and Statistics · 2024-03-18 · 24 citations

Abstract We assess the predictive power of two measures of competitiveness for education and labor market outcomes using a large, representative survey panel. The first is incentivized and is an online adaptation of the laboratory-based Niederle-Vesterlund measure. The second is an unincentivized survey question eliciting general competitiveness. Both measures are strong predictors of income, occupation, level of education, and field of study. The predictive power of the new unincentivized measure is robust to controlling for other traits, including risk attitudes, confidence, and the Big Five personality traits. For most outcomes, the predictive power of competitiveness exceeds that of the other traits.

Mission impossible

AEA Randomized Controlled Trials · 2024-10-14

Mission impossible

AEA Randomized Controlled Trials · 2024-10-14