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Improving Compliance in Experimental Studies of Discrimination

Author

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  • Kaufman, Aaron

    (New York University Abu Dhabi)

  • Grumbach, Jake
  • Celaya, Christopher

Abstract

\noindent In experimental studies of discrimination, researchers often manipulate cues of social identities such as race to isolate their discriminatory effects, holding all else constant. However, these studies cannot distinguish between \textit{noncompliance}, in which respondents do not observe, acknowledge, or update their beliefs about the social identity being signaled, and \textit{nondiscrimination}, in which respondents update their beliefs based on the signal but do not discriminate. Focusing on experiments addressing racial discrimination, we find evidence from a pre-registered, nationally representative survey experiment that racialized name cues suffer from compliance as low as 33%, especially for Black treatments. Adding pre-tested racialized pictures and resume items improves compliance to 95% on average and reduces the variance in compliance across racial treatment groups. Our simulation studies show that this noncompliance tends to attenuate the estimated effects of race by as much as 85\%, implying that racial discrimination may be much deeper than decades of experiments have suggested.

Suggested Citation

  • Kaufman, Aaron & Grumbach, Jake & Celaya, Christopher, 2024. "Improving Compliance in Experimental Studies of Discrimination," OSF Preprints xz9wr_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:xz9wr_v1
    DOI: 10.31219/osf.io/xz9wr_v1
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    References listed on IDEAS

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    1. Landgrave, Michelangelo & Weller, Nicholas, 2022. "Do Name-Based Treatments Violate Information Equivalence? Evidence from a Correspondence Audit Experiment," Political Analysis, Cambridge University Press, vol. 30(1), pages 142-148, January.
    2. 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.
    3. Butler, Daniel M. & Homola, Jonathan, 2017. "An Empirical Justification for the Use of Racially Distinctive Names to Signal Race in Experiments," Political Analysis, Cambridge University Press, vol. 25(1), pages 122-130, January.
    4. Gaddis, S. Michael, 2015. "Discrimination in the Credential Society: An Audit Study of Race and College Selectivity in the Labor Market," SocArXiv 6qjue, Center for Open Science.
    5. Daniel M. Butler & David E. Broockman, 2011. "Do Politicians Racially Discriminate Against Constituents? A Field Experiment on State Legislators," American Journal of Political Science, John Wiley & Sons, vol. 55(3), pages 463-477, July.
    6. Kristof Heylen & Katleen Van den Broeck, 2016. "Discrimination and selection in the Belgian private rental market," Housing Studies, Taylor & Francis Journals, vol. 31(2), pages 223-236, March.
    7. Grogger, Jeffrey & Ridgeway, Greg, 2006. "Testing for Racial Profiling in Traffic Stops From Behind a Veil of Darkness," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 878-887, September.
    8. Coppock, Alexander, 2019. "Avoiding Post-Treatment Bias in Audit Experiments," Journal of Experimental Political Science, Cambridge University Press, vol. 6(1), pages 1-4, April.
    9. Kane, John V. & Velez, Yamil R. & Barabas, Jason, 2023. "Analyze the attentive and bypass bias: mock vignette checks in survey experiments," Political Science Research and Methods, Cambridge University Press, vol. 11(2), pages 293-310, April.
    10. Dafoe, Allan & Zhang, Baobao & Caughey, Devin, 2018. "Information Equivalence in Survey Experiments," Political Analysis, Cambridge University Press, vol. 26(4), pages 399-416, October.
    11. William C. Horrace & Shawn M. Rohlin, 2016. "How Dark Is Dark? Bright Lights, Big City, Racial Profiling," The Review of Economics and Statistics, MIT Press, vol. 98(2), pages 226-232, May.
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