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Infrequent Identity Signals and Detection Risks in Audit Correspondence Studies

Author

Listed:
  • Catherine Balfe
  • Patrick Button
  • Mary Penn
  • David Schwegman

Abstract

Audit correspondence studies are field experiments that test for discriminatory behavior in active markets. Researchers measure discrimination by comparing how responsive individuals ("audited units") are to correspondences from different types of people. This paper elaborates on the tradeoffs researchers face between sending audited units only one correspondence and sending them multiple correspondences, especially when including less common identity signals in the correspondences. We argue that when researchers use audit correspondence studies to measure discrimination against individuals that infrequently interact with audited units, they raise the risk that these audited units become aware they are being studied or otherwise act differently. We present the result of an audit correspondence study that demonstrates how this detection can occur when researchers send more than one correspondence from an uncommon minority group. We show how this detection leads to attenuated (downwardly biased) estimates of discrimination.

Suggested Citation

  • Catherine Balfe & Patrick Button & Mary Penn & David Schwegman, 2021. "Infrequent Identity Signals and Detection Risks in Audit Correspondence Studies," NBER Working Papers 28718, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28718
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    References listed on IDEAS

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    1. Dan-Olof Rooth, 2021. "Correspondence testing studies," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-58, January.
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    3. David C Phillips, 2019. "Do Comparisons of Fictional Applicants Measure Discrimination When Search Externalities are Present? Evidence from Existing Experiments," The Economic Journal, Royal Economic Society, vol. 129(621), pages 2240-2264.
    4. Luca Fumarco & Benjamin Harrell & Patrick Button & David Schwegman & E Dils, 2020. "Gender Identity, Race, and Ethnicity-based Discrimination in Access to Mental Health Care: Evidence from an Audit Correspondence Field Experiment," NBER Working Papers 28164, National Bureau of Economic Research, Inc.
    5. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    6. David Neumark & Ian Burn & Patrick Button, 2019. "Is It Harder for Older Workers to Find Jobs? New and Improved Evidence from a Field Experiment," Journal of Political Economy, University of Chicago Press, vol. 127(2), pages 922-970.
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    More about this item

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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