Alger, Ingela, Weibull, Jörgen W. and Lehmann, Laurent (2020) Evolution of preferences in structured populations: Genes, guns, and culture. Journal of Economic Theory, 185 (104951).

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Identification Number : 10.1016/j.jet.2019.104951

Abstract

During human evolution, individuals interacted mostly within small groups that were connected by limited migration and sometimes by conflicts. Which preferences, if any, will prevail in such scenarios? Building on population biology models of spatially structured populations, and assuming individuals' preferences to be their private information, we characterize those preferences that, once established, cannot be displaced by alternative preferences. We represent such uninvadable preferences in terms of fitness and in terms of material payoffs. At the fitness level, individuals can be regarded to act as if driven by a mix of self-interest and a Kantian motive that evaluates own behavior in the light of the consequences for own fitness if others adopted this behavior. This Kantian motive is borne out from (genetic or cultural) kin selection. At the material-payoff level, individuals act as if driven in part by self-interest and a Kantian motive (in terms of material payoffs), but also in part by other-regarding preferences towards other group members. This latter motive is borne out of group resource constraints and the risk of conflict with other groups. We show how group size, the migration rate, the risk of group conflicts, and cultural loyalty shape the relative strengths of these motives.

Item Type: Article
Language: English
Date: January 2020
Refereed: Yes
JEL Classification: A12 - Relation of Economics to Other Disciplines
A13 - Relation of Economics to Social Values
B52 - Institutional; Evolutionary
C73 - Stochastic and Dynamic Games; Evolutionary Games; Repeated Games
D01 - Microeconomic Behavior - Underlying Principles
D91 - Intertemporal Consumer Choice; Life Cycle Models and Saving
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 06 Dec 2019 10:40
Last Modified: 01 Jun 2023 07:40
OAI Identifier: oai:tse-fr.eu:123748
URI: https://publications.ut-capitole.fr/id/eprint/33508

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