Detecting Discrimination in Audit and Correspondence Studies

David Neumark

No 16448, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: Audit studies testing for discrimination have been criticized because applicants from different groups may not appear identical to employers. Correspondence studies address this criticism by using fictitious paper applicants whose qualifications can be made identical across groups. However, Heckman and Siegelman (1993) show that group differences in the variance of unobservable determinants of productivity can still generate spurious evidence of discrimination in either direction. This paper shows how to recover an unbiased estimate of discrimination when the correspondence study includes variation in applicant characteristics that affect hiring. The method is applied to actual data and assessed using Monte Carlo methods.

JEL-codes: C93 J7 (search for similar items in EconPapers)
Date: 2010-10
Note: LS
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Published as David Neumark, 2012. "Detecting Discrimination in Audit and Correspondence Studies," Journal of Human Resources, University of Wisconsin Press, vol. 47(4), pages 1128-1157.

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Related works:
Journal Article: Detecting Discrimination in Audit and Correspondence Studies (2012)
Working Paper: Detecting Discrimination in Audit and Correspondence Studies (2010)
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