Webinar - Men are from Mars and women too: A Bayesian meta-analysis of overconfidence

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 that men are overconfident and women under-confident. In contrast, the model cannot reject the hypothesis that gender differences in self-confidence 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.

Date et heure: 
Mercredi 01 décembre 2021, 16:30 - 18:00
Organisation: 
NBB, KU Leuven, UAntwerpen, UCLouvain, UGent, UHasselt, ULB, ULiège and UMons
Orateur(s): 
Barbara Petrongolo (Oxford University)
Prix d'inscription: 
gratuit