Men are from Mars, and women too: a Bayesian meta-analysis of overconfidence experiments

Bandiera, Oriana ORCID: 0009-0002-6817-793X, Parekh, Nidhi, Petrongolo, Barbara and Rao, Michelle (2022) Men are from Mars, and women too: a Bayesian meta-analysis of overconfidence experiments. Economica, 89 (S1). S38-S70. ISSN 0013-0427

Text (Men are from Mars and Women Too A Bayesian Meta‐analysis of Overconfidence Experiments) - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (2MB)

• Scopus publication
• Author

Abstract

Gender differences in self-confidence could explain women's under-representation in high-income occupations and glass-ceiling effects. We draw lessons from the economic literature via a survey of experts and a Bayesian hierarchical model that aggregates experimental findings over the last 20 years. The experts’ survey indicates beliefs that men are overconfident and women underconfident. Yet the literature reveals that both men and women are typically overconfident. Moreover, the model cannot reject the hypothesis that gender differences in self-confidence are equal to zero. In addition, the estimated pooling factor is low, implying that each study contains little information over a common phenomenon. The discordance can be reconciled if the experts overestimate the pooling factor or have priors that are biased and precise.

Item Type:	Article
Additional Information:	© 2022 The Author(s)
Divisions:	Economics STICERD
Date Deposited:	20 Jun 2024 13:27
Last Modified:	08 Nov 2024 19:51
URI:	http://eprints.lse.ac.uk/id/eprint/123933

Actions (login required)

View Item