Testing for asymmetric employer learning and statistical discrimination

C-Tier
Journal: Applied Economics
Year: 2021
Volume: 53
Issue: 12
Pages: 1361-1377

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We test if firms statistically discriminate workers based on race when employer learning is asymmetric. Using data from the NLSY79, we find evidence of asymmetric employer learning. In addition, employers statistically discriminate against non-college-educated black workers at time of hiring. We also find that employers directly observe most of the productivity of college graduates at hiring and learn very little over time about these workers.

Technical Details

RePEc Handle
repec:taf:applec:v:53:y:2021:i:12:p:1361-1377
Journal Field
General
Author Count
3
Added to Database
2026-01-25