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Just Cheap Talk? Investigating Fairness Preferences in Hypothetical Scenarios

Author

Listed:
  • Paul Hufe

    (University of Bristol)

  • Daniel Weishaar

    (LMU Munich)

Abstract

The measurement of preferences often relies on surveys in which individuals evaluate hypothetical scenarios. This paper proposes and validates a novel factorial survey tool to measure fairness preferences. We specifically examine whether a non-incentivized survey captures the same distributional preferences as an impartial spectator design, where choices may apply to a real person. In contrast to prior studies, our design involves high stakes, with respondents determining a real person’s monthly earnings, ranging from $500 to $5,700. We find that the non-incentivized survey module yields nearly identical results compared to the incentivized experiment and recovers fairness preferences that are stable over time. Furthermore, we show that most respondents adopt intermediate fairness positions, with fewer exhibiting strictly egalitarian or libertarian preferences. These findings suggest that high stake incentives do not significantly impact the measurement of fairness preferences and that non-incentivized survey questions covering realistic scenarios offer valuable insights into the nature of these preferences.

Suggested Citation

  • Paul Hufe & Daniel Weishaar, 2024. "Just Cheap Talk? Investigating Fairness Preferences in Hypothetical Scenarios," Rationality and Competition Discussion Paper Series 515, CRC TRR 190 Rationality and Competition.
  • Handle: RePEc:rco:dpaper:515
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    References listed on IDEAS

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    1. Bhashkar Mazumder, 2005. "Fortunate Sons: New Estimates of Intergenerational Mobility in the United States Using Social Security Earnings Data," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 235-255, May.
    2. Armin Falk & Anke Becker & Thomas Dohmen & David Huffman & Uwe Sunde, 2023. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences," Management Science, INFORMS, vol. 69(4), pages 1935-1950, April.
    3. Joseph Henrich & Steve J. Heine & Ara Norenzayan, 2010. "The Weirdest People in the World?," RatSWD Working Papers 139, German Data Forum (RatSWD).
    4. Ben Gillen & Erik Snowberg & Leeat Yariv, 2019. "Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1826-1863.
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    Keywords

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    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I39 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Other

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