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Title Statistical Discrimination, Employer Learning, and Employment Gap by Race and Education
Author Seik Kim (Korea University) and Hwa Ryung Lee (Korea Development Institute)
Volume 36 Number 1
Pages 5-27 
Keywords Employer Learning, Statistical Discrimination, Unemployment Rate
Abstract Tests of statistical discrimination require evaluation records provided by employers or variables that employers do not observe directly but are observed by researchers. As such variables are difficult to obtain, this paper develops a strategy that uses variables available in usual data sets. This paper derives testable implications for statistical discrimination by exploiting the heterogeneity in employer learning processes. Evidence from analysis using the March Current Population Survey for 1971-2016 is consistent with the theoretical predictions. The empirical findings are not explained by alternative hypotheses, such as human capital theory, taste-based discrimination, or search and matching models.
File KER-20200101-36-1-01.pdf
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