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Journal of the European Economic Association
Article . 2023 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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Stereotypes and Belief Updating

Authors: Katherine Coffman; Manuela R Collis; Leena Kulkarni;

Stereotypes and Belief Updating

Abstract

Abstract We explore how feedback shapes, and perpetuates, gender gaps in self-assessments. Participants in our experiment take tests of their ability across different domains. We elicit their beliefs of their performance before and after feedback. We find that, even after the provision of highly informative feedback, gender stereotypes influence posterior beliefs, beyond what a Bayesian model would predict. This is primarily because both men and women update their beliefs more positively in response to good news when it arrives in a more gender congruent domain (i.e. more male-typed domains for men, more female-typed domains for women), fueling persistence in gender gaps.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%
hybrid