| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP16939 |
| DP16939 Men are from Mars and Women Too: A Bayesian Meta-Analysis of Overconfidence Experiments | |
| Oriana Bandiera; Nidhi Parekh; Barbara Petrongolo; Michelle Rao | |
| 发表日期 | 2022-01-21 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | 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. |
| 主题 | Labour Economics |
| URL | https://cepr.org/publications/dp16939 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/545879 |
| 推荐引用方式 GB/T 7714 | Oriana Bandiera,Nidhi Parekh,Barbara Petrongolo,et al. DP16939 Men are from Mars and Women Too: A Bayesian Meta-Analysis of Overconfidence Experiments. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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