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DO COMPARISONS OF FICTIONAL APPLICANTS MEASURE DISCRIMINATION WHEN SEARCH EXTERNALITIES ARE PRESENT? EVIDENCE FROM EXISTING EXPERIMENTS
DO COMPARISONS OF FICTIONAL APPLICANTS MEASURE DISCRIMINATION WHEN SEARCH EXTERNALITIES ARE PRESENT? EVIDENCE FROM EXISTING EXPERIMENTS
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DO COMPARISONS OF FICTIONAL APPLICANTS MEASURE DISCRIMINATION WHEN SEARCH EXTERNALITIES ARE PRESENT? EVIDENCE FROM EXISTING EXPERIMENTS
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DO COMPARISONS OF FICTIONAL APPLICANTS MEASURE DISCRIMINATION WHEN SEARCH EXTERNALITIES ARE PRESENT? EVIDENCE FROM EXISTING EXPERIMENTS
DO COMPARISONS OF FICTIONAL APPLICANTS MEASURE DISCRIMINATION WHEN SEARCH EXTERNALITIES ARE PRESENT? EVIDENCE FROM EXISTING EXPERIMENTS

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DO COMPARISONS OF FICTIONAL APPLICANTS MEASURE DISCRIMINATION WHEN SEARCH EXTERNALITIES ARE PRESENT? EVIDENCE FROM EXISTING EXPERIMENTS
DO COMPARISONS OF FICTIONAL APPLICANTS MEASURE DISCRIMINATION WHEN SEARCH EXTERNALITIES ARE PRESENT? EVIDENCE FROM EXISTING EXPERIMENTS
Journal Article

DO COMPARISONS OF FICTIONAL APPLICANTS MEASURE DISCRIMINATION WHEN SEARCH EXTERNALITIES ARE PRESENT? EVIDENCE FROM EXISTING EXPERIMENTS

2019
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Overview
Researchers commonly measure discrimination by comparing responses to multiple fictional applicants sent to the same vacancy. I find evidence that these applications interact. Using data from several existing experiments, I find that applicants randomly assigned to compete against higher quality applicant pools receive more callbacks. In the presence of such spillovers, many experiments confound discrimination against an individual’s characteristics with employers’ responses to the composition of the applicant pool. Under one reasonable set of assumptions, adjusting for applicant pool composition increases measured discrimination by 30% on average. Avoiding experimental designs that stratify treatment assignment by vacancy can eliminate such confounding.
Publisher
Oxford University Press