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

Bandiera, Oriana, Parekh, Nidhi, Petrongolo, Barbara and Rao, Michelle (2021) Men are from Mars, and women too: a Bayesian meta-analysis of overconfidence experiments. CEP Discussion Papers (1820). Centre for Economic Performance, LSE, London, UK.

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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 twenty years. The experts' survey indicates beliefs that men are overconfident and women under-confident. 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: Monograph (Discussion Paper)
Official URL: https://cep.lse.ac.uk/_new/publications/discussion...
Additional Information: © 2021 The Authors
Divisions: Economics
Centre for Economic Performance
STICERD
Subjects: H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HQ The family. Marriage. Woman
B Philosophy. Psychology. Religion > BF Psychology
JEL classification: C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C91 - Laboratory, Individual Behavior
J - Labor and Demographic Economics > J1 - Demographic Economics > J16 - Economics of Gender; Non-labor Discrimination
Date Deposited: 24 Feb 2022 14:18
Last Modified: 25 Feb 2022 00:03
URI: http://eprints.lse.ac.uk/id/eprint/113814

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