Proximate and ultimate drivers of norms and norm change

Ingela Alger, Sergey Gavrilets and Patrick Durkee
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Sergey Gavrilets: The University of Tennessee [Knoxville]
Patrick Durkee: Fresno State - California State University [Fresno]

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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.

Keywords: Social norms; Preferences; Beliefs; Evolutionary foundations; Ultimate drivers; Proximate drivers; Interdisciplinary research (search for similar items in EconPapers)
Date: 2024-12
Note: View the original document on HAL open archive server: https://hal.science/hal-04730213v1
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Citations: View citations in EconPapers (1)

Published in Current Opinion in Psychology, 2024, 60, pp.101916. ⟨10.1016/j.copsyc.2024.101916⟩

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Working Paper: Proximate and ultimate drivers of norms and norm change (2024)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04730213

DOI: 10.1016/j.copsyc.2024.101916

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