"Soft" Affirmative Action and Minority Recruitment
Daniel Fershtman and
Alessandro Pavan
American Economic Review: Insights, 2021, vol. 3, issue 1, 1-18
Abstract:
We study search, evaluation, and selection of candidates of unknown quality for a position. We examine the effects of "soft" affirmative action policies increasing the relative percentage of minority candidates in the candidate pool. We show that, while meant to encourage minority hiring, such policies may backfire if the evaluation of minority candidates is noisier than that of nonminorities. This may occur even if minorities are at least as qualified and as valuable as nonminorities. The results provide a possible explanation for why certain soft affirmative action policies have proved counterproductive, even in the absence of (implicit) bias.
JEL-codes: J15 J23 J24 M51 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.aeaweb.org/doi/10.1257/aeri.20200196 (application/pdf)
https://www.aeaweb.org/doi/10.1257/aeri.20200196.ds (application/zip)
Related works:
Working Paper: Soft Affirmative Action and Minority Recruitment (2020) 
Working Paper: "Soft" Affirmative Action and Minority Recruitment (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aea:aerins:v:3:y:2021:i:1:p:1-18
Ordering information: This journal article can be ordered from
https://www.aeaweb.org/journals/subscriptions
DOI: 10.1257/aeri.20200196
Access Statistics for this article
American Economic Review: Insights is currently edited by Amy Finkelstein
More articles in American Economic Review: Insights from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().