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Detecting discrimination in audit and correspondence studies

Neumark, David

The Journal of human resources, 2012-01, Vol.47 (4), p.1128-1157 [Periódico revisado por pares]

Madison: University of Wisconsin Press

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Título:
Detecting discrimination in audit and correspondence studies
Autor: Neumark, David
Assuntos: Arbeitsproduktivität ; Arbeitsuchender ; Canada ; Computation ; Determinants ; Differenz ; Discrimination ; Discrimination in employment ; Diskriminierung ; Empirische Sozialforschung ; Employers ; Employment discrimination ; Equal Opportunities (Jobs) ; Ethnische Gruppe ; Evidence ; Experiment ; Forschungsmethode ; Geschlechtsspezifik ; Hiring ; Identification ; Investigation ; Job Applicants ; Labor Market ; Labor Relations ; Law and legislation ; Methodology ; Minderheit ; Monte Carlo Methods ; Monte Carlo simulation ; Monte-Carlo-Methode ; Personalauswahl ; Personnel Selection ; Probability ; Productivity ; Produktivität ; Qualifikationsniveau ; Racial Differences ; Racial Discrimination ; Rasse ; Rassismus ; Resumes (Personal) ; Schwarzer ; Social Science Research ; Studies ; USA ; Verhalten ; Weißer
É parte de: The Journal of human resources, 2012-01, Vol.47 (4), p.1128-1157
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: 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 still can 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. (Contains 3 tables, 4 figures and 23 footnotes.)
Editor: Madison: University of Wisconsin Press
Idioma: Inglês

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Detecting discrimination in audit and correspondence studies

Neumark, David

Madison: University of Wisconsin Press

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