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dc.contributor.authorNeumark, Daviden_US
dc.date.accessioned2011-06-23en_US
dc.date.accessioned2011-06-28T13:55:54Z-
dc.date.available2011-06-28T13:55:54Z-
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/10419/46132-
dc.description.abstractAudit 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.en_US
dc.language.isoengen_US
dc.publisherIZA Bonnen_US
dc.relation.ispartofseriesDiscussion paper series // Forschungsinstitut zur Zukunft der Arbeit 5263en_US
dc.subject.jelJ7en_US
dc.subject.ddc330en_US
dc.subject.keyworddiscriminationen_US
dc.subject.keywordaudit studyen_US
dc.subject.keywordcorrespondence studyen_US
dc.titleDetecting discrimination in Audit and correspondence studiesen_US
dc.typeWorking Paperen_US
dc.identifier.ppn662817141en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)

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