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Shallow Meritocracy: An Experiment on Fairness Views

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  • Peter Andre
Abstract
Meritocracies aspire to reward effort and hard work but promise not to judge individuals by the circumstances they were born into. The choice to work hard is, however, often shaped by circumstances. This study investigates whether people’s merit judgments are sensitive to this endogeneity of choice. In a series of incentivized experiments with a large, representative US sample, study participants judge how much money two workers deserve for the effort they exerted. In the treatment condition, unequal circumstances strongly discourage one of the workers from working hard. Nonetheless, I find that individuals hold the disadvantaged worker fully responsible for his choice. They do so, even though they understand that choices are strongly influenced by circumstances. Additional experiments identify the cause of this neglect. In light of an uncertain counterfactual state – what would have happened on a level playing field – participants base their merit judgments on the only reliable evidence they possess - observed effort levels. I confirm these patterns in a structural model of merit views and a vignette study with real-world scenarios.

Suggested Citation

  • Peter Andre, 2021. "Shallow Meritocracy: An Experiment on Fairness Views," CRC TR 224 Discussion Paper Series crctr224_2021_318v1, University of Bonn and University of Mannheim, Germany.
    • Handle: RePEc:bon:boncrc:crctr224_2021_318v1
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    4. Cappelen, Alexander W. & de Haan, Thomas & Tungodden, Bertil, 2024. "Fairness and limited information: Are people Bayesian meritocrats?," Journal of Public Economics, Elsevier, vol. 233(C).
    5. Shelly Lundberg, 2023. "Gender Economics: Dead-Ends and New Opportunities," Research in Labor Economics, in: 50th Celebratory Volume, volume 50, pages 151-189, Emerald Group Publishing Limited.

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    More about this item

    Keywords

    Meritocracy; attitudes toward inequality; redistribution; fairness; responsibility; social preferences; inference; uncertain counterfactual;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies

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