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Incorporating conditional morality into economic decisions

Author

Listed:
  • David Masclet

    (UR - Université de Rennes, CIRANO - Centre interuniversitaire de recherche en analyse des organisations - UQAM - Université du Québec à Montréal = University of Québec in Montréal)

  • David L. Dickinson

    (Appalachian State University - UNC - University of North Carolina System, Chapman University, IZA - Forschungsinstitut zur Zukunft der Arbeit - Institute of Labor Economics)

Abstract

We present a theoretical framework of individual-decision making that incorporates both moral motivations and social influence into the utility function. The main idea of the paper is that individuals face a trade-off between their material individual interests and their desire to follow moral obligation. In our model, we assume that moral motivation is weak or conditional in the sense that it may be influenced by others' actions. Specifically, in our framework one's moral obligation is a combination of two main components: an autonomous component and a social component that captures the influence of others. Our theoretical framework is able to explain many stylized results commonly observed in the literature and suggests a different mechanism to explain economic behavior.

Suggested Citation

  • David Masclet & David L. Dickinson, 2024. "Incorporating conditional morality into economic decisions," Post-Print hal-04721460, HAL.
  • Handle: RePEc:hal:journl:hal-04721460
    DOI: 10.1007/s11238-024-10000-4
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    1. Dickinson, David L., 2023. "Dark versus Light Personality Types and Moral Choice," IZA Discussion Papers 16338, Institute of Labor Economics (IZA).
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    More about this item

    Keywords

    Behavioral Economics; Ehical Decision Making; Fairness;
    All these keywords.

    JEL classification:

    • B3 - Schools of Economic Thought and Methodology - - History of Economic Thought: Individuals
    • D6 - Microeconomics - - Welfare Economics
    • D9 - Microeconomics - - Micro-Based Behavioral Economics

    Statistics

    Access and download statistics

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