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Title: Statistical Discrimination and the Implication of Employer-Employee Racial Matches
Resulting in 1 citation.
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Fadlon, Yariv |
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Statistical Discrimination and the Implication of Employer-Employee Racial Matches Journal of Labor Research 36,2 (June 2015): 232-248. Also: http://link.springer.com/article/10.1007/s12122-015-9203-2 Cohort(s): NLSY97 Publisher: Springer Keyword(s): Armed Forces Qualifications Test (AFQT); Discrimination, Racial/Ethnic; Racial Equality/Inequality; Supervisor Characteristics; Wage Levels Permission to reprint the abstract has not been received from the publisher. In this paper, I test the empirical validity of a statistical discrimination model that incorporates employer's race. I argue that if an employer statistically discriminates less against an employee that shares the same race (matched) than an employee who does not share the same race (mismatched), then the correlation between the employee's wage and his skill level (AFQT) is stronger for a matched employee than for a mismatched employee. Using data from the NLSY97, which includes information about the racial background of employees and their supervisors, I find evidence that is consistent with a statistical discrimination model for young male employees. |
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Bibliography Citation
Fadlon, Yariv. "Statistical Discrimination and the Implication of Employer-Employee Racial Matches." Journal of Labor Research 36,2 (June 2015): 232-248.
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