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EconStor
Article . 2008
License: CC BY NC
Data sources: EconStor
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Risk taking and gender in hierarchies

Authors: Scotchmer, Suzanne;

Risk taking and gender in hierarchies

Abstract

In a labor market hierarchy, promotions are affected by the noisiness of information about the candidates. I study the hypothesis that males are more risk taking than females, and its implications for rates of promotion and abilities of survivors. I define promotion hierarchies with and without memory, where memory means that promotion depends on the entire history of success. In both types of hierarchies, the surviving risk takers have lower average ability whenever they have a higher survival rate. Further, even if more risk takers than non risk takers are promoted in the beginning of the hierarchy, that will be reversed over time. The risk takers will eventually have a lower survival rate, but higher ability. As a consequence of these differences, the various requirements of employment law cannot simultaneously be satisfied. Further, if promotion standards are chosen to maximize profit, the standards will reflect gender in ways that are difficult to distinguish from discriminatory intent.

Countries
Canada, United States
Keywords

labor markets, gender bias., ddc:330, Labor market hierarchy, promotion, discrimination, affirmative action, hierarchy, risk taking, gender bias, Labor market hierarchy, promotion, discrimination, affirmative action, hierarchy, risk taking, gender bias., Social and Behavioral Sciences, Arts and Humanities, Business, risk taking, Labor market hierarchy, promotion, hierarchy, 910, gender bias, J7, labor markets, promotion, discrimination, affirmative action, hierarchy, risk taking, gender bias, affirmative action, discrimination, jel: jel:D63, jel: jel:J7, jel: jel:J08

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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!
0
Average
Average
Average
Green
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