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Proximate and ultimate drivers of norms and norm change

Author

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  • Ingela Alger

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CNRS - Centre National de la Recherche Scientifique)

  • Sergey Gavrilets

    (The University of Tennessee [Knoxville])

  • Patrick Durkee

    (Fresno State - California State University [Fresno])

Abstract

We describe a formal model of norm psychology that can be applied to better understand norm change. The model integrates several proximate drivers of normative behavior: beliefs and preferences about a) material payoffs, b) personal norms, c) peer disapproval, d) conformity, and e) authority compliance. Additionally, we review interdisciplinary research on ultimate foundations of these proximate drivers of normative behavior. Finally, we discuss opportunities for integration between the proposed formal framework and several psychological sub-fields.

Suggested Citation

  • Ingela Alger & Sergey Gavrilets & Patrick Durkee, 2024. "Proximate and ultimate drivers of norms and norm change," Post-Print hal-04730213, HAL.
    • Handle: RePEc:hal:journl:hal-04730213
    DOI: 10.1016/j.copsyc.2024.101916
    Note: View the original document on HAL open archive server: https://hal.science/hal-04730213v1
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    Cited by:

    1. Alger, Ingela, 2024. "Norms and norm change - driven by social Kantian preferences," TSE Working Papers 24-1605, Toulouse School of Economics (TSE), revised Jan 2026.

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