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Published on: April 18, 2017
Proximate and ultimate drivers of norms and norm change
Ingela Alger1, Sergey Gavrilets2, Patrick Durkee3
1Toulouse School of Economics, CNRS, University of Toulouse Capitole, Institute for Advanced Study in Toulouse, and CEPR, Toulouse, France.
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.
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