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.Attached Files
Accepted Version - sswp1439.pdf
Files
Name | Size | Download all |
---|---|---|
md5:2e4ff123064e4b5acdd99516b0e6c2b2
|
2.0 MB | Preview Download |
Additional details
- Eprint ID
- 99380
- Resolver ID
- CaltechAUTHORS:20191018-165505376
- NSF
- SES-1558757
- NSF
- CNS-1518941
- NSF
- SES-1629613
- Created
-
2019-10-18Created from EPrint's datestamp field
- Updated
-
2021-12-21Created from EPrint's last_modified field
- Caltech groups
- Social Science Working Papers
- Series Name
- Social Science Working Paper
- Series Volume or Issue Number
- 1439