Published April 2018 | Version Accepted Version
Working Paper Open

Statistical Discrimination and Affirmative Action in the Lab

Abstract

We present results from laboratory experiments studying the impacts of affirmative-action policies. We induce statistical discrimination in simple labor-market interactions between rms and workers. We then introduce affirmative-action policies that vary in the size and duration of a subsidy firms receive for hiring discriminated-against workers. These different affirmative-action policies have nearly the same effect and practically eliminate discriminatory hiring practices. However, once lifted, few positive effects remain and discrimination reverts to its initial levels. One exception is lengthy affirmative-action policies, which exhibit somewhat longer-lived effects. Stickiness of beliefs, which we elicit, helps explain the evolution of these outcomes.

Additional Information

We thank Richard Sander for very helpful comments. Echenique gratefully acknowledges the support of NSF grants SES-1558757 and CNS-1518941. Yariv gratefully acknowledges the support of NSF grant SES-1629613.

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Additional details

Identifiers

Eprint ID
99380
Resolver ID
CaltechAUTHORS:20191018-165505376

Funding

NSF
SES-1558757
NSF
CNS-1518941
NSF
SES-1629613

Dates

Created
2019-10-18
Created from EPrint's datestamp field
Updated
2021-12-21
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
Social Science Working Papers
Series Name
Social Science Working Paper
Series Volume or Issue Number
1439