G2TT
来源类型Discussion paper
规范类型论文
来源IDDP15621
DP15621 Self-image Bias and Lost Talent
Marciano Siniscalchi; Pietro Veronesi
发表日期2020-12-31
出版年2020
语种英语
摘要We propose an overlapping-generations model in which established researchers evaluate the research of new researchers. All researchers are differentially endowed with equally desirable research characteristics and belong to two groups, M or F, which have identical ex-ante productivity distributions. Evaluations are group-blind. Yet, when research is evaluated on many characteristics, evaluators' self-image bias and mild between-group heterogeneity lead the initially larger group, say M, to dominate indefinitely. M-researchers only accept the research of young scholars with characteristics close to theirs. Promoted F-researchers are thus few and "similar" to M-researchers, perpetuating the asymmetry. This talent loss is exacerbated by candidates' career concerns and institutions' focus on hiring faculty whose research will be approved by established researchers. Mentorship reduces group imbalance, but it increases the F-group talent loss. Affirmative action reduces both. Our model's predictions are consistent with existing empirical evidence on female participation in academic economics.
主题Labour Economics
关键词Gender discrimination Self-image bias Affirmative action Mentorship
URLhttps://cepr.org/publications/dp15621
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/544636
推荐引用方式
GB/T 7714
Marciano Siniscalchi,Pietro Veronesi. DP15621 Self-image Bias and Lost Talent. 2020.
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