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Discrimination in the general population

Author

Listed:
  • Silvia Angerer

    (UMIT TIROL - Private University for Health Sciences and Health Technology)

  • Hanna Brosch

    (Technical University of Munich, TUM School of Management, Heilbronn Campus)

  • Daniela Glätzle-Rützler

    (University of Innsbruck)

  • Philipp Lergetporer

    (Technical University of Munich, TUM School of Management, Heilbronn & ifo Institute)

  • Thomas Rittmansberger

    (Technical University of Munich, TUM School of Management)

Abstract

We present representative evidence of discrimination against migrants through an incentivized choice experiment with over 2,000 participants. Decision makers allocate a fixed endowment between two receivers. To measure discrimination, we randomly vary receivers’ migration background and other attributes, including education, gender, and age. We find that discrimination against migrants by the general population is both widespread and substantial. Our causal moderation analysis shows that migrants with higher education and female migrants experience significantly less discrimination. Discrimination is more pronounced among decision makers who are male, non-migrants, have right-wing political preferences, and live in regions with lower migrant shares.

Suggested Citation

  • Silvia Angerer & Hanna Brosch & Daniela Glätzle-Rützler & Philipp Lergetporer & Thomas Rittmansberger, 2024. "Discrimination in the general population," Munich Papers in Political Economy 35, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    • Handle: RePEc:aiw:wpaper:35
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    References listed on IDEAS

    as
    1. Angerer, Silvia & Dutcher, E. Glenn & Glätzle-Rützler, Daniela & Lergetporer, Philipp & Sutter, Matthias, 2017. "Gender differences in discrimination emerge early in life: Evidence from primary school children in a bilingual city," Economics Letters, Elsevier, vol. 152(C), pages 15-18.
    2. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    3. Silvia Angerer & Christian Waibel & Harald Stummer, 2019. "Discrimination in Health Care: A Field Experiment on the Impact of Patients’ Socioeconomic Status on Access to Care," American Journal of Health Economics, University of Chicago Press, vol. 5(4), pages 407-427, Fall.
    4. Vojtěch Bartoš & Michal Bauer & Julie Chytilová & Filip Matějka, 2016. "Attention Discrimination: Theory and Field Experiments with Monitoring Information Acquisition," American Economic Review, American Economic Association, vol. 106(6), pages 1437-1475, June.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • 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
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

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