Men are from Mars, and Women Too: A Bayesian Meta-Analysis of Overconfidence Experiments

Autor: Bandiera, O, Parekh, N, Petrongolo, B, Roa, M
Rok vydání: 2022
Předmět:
Zdroj: SSRN Electronic Journal.
ISSN: 1556-5068
Popis: 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 exper imental 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 hypothe sis 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.
Databáze: OpenAIRE