DP16939 Men are from Mars and Women Too: A Bayesian Meta-Analysis of Overconfidence Experiments
|Author(s):||Oriana Bandiera, Nidhi Parekh, Barbara Petrongolo, Michelle Rao|
|Publication Date:||January 2022|
|Date Revised:||January 2022|
|Programme Areas:||Labour Economics|
|Link to this Page:||cepr.org/active/publications/discussion_papers/dp.php?dpno=16939|
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.