Evolution and Heterogeneity of Social Preferences
Charles Ayoubi and
Boris Thurm
No ucx8z, OSF Preprints from Center for Open Science
Abstract:
Why do individuals take different decisions when confronted with similar choices? This paper investigates whether the answer lies in an evolutionary process. Our analysis builds on recent work in evolutionary game theory showing the superiority of a given type of preferences, homo moralis, in fitness games with assortative matching. We adapt the classical definition of evolutionary stability to the case where individuals with distinct preferences coexist in a population. This approach allows us to establish the characteristics of an evolutionarily stable population. Then, introducing an assortment matrix for assortatively matched interactions, we prove the existence of a heterogeneous evolutionarily stable population in 2×2 symmetric fitness games under constant assortment, and we identify the conditions for its existence. Conversely to the classical setting, we find that the favored preferences in a heterogeneous evolutionarily stable population are context-dependent. As an illustration, we discuss when and how an evolutionarily stable population made of both selfish and moral individuals exists in a prisoner’s dilemma. These findings offer a theoretical foundation for the empirically observed diversity of preferences among individuals.
Date: 2020-08-26
New Economics Papers: this item is included in nep-evo, nep-gth, nep-hme and nep-hpe
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://osf.io/download/5f4668d1746a8102ce1a8b74/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:ucx8z
DOI: 10.31219/osf.io/ucx8z
Access Statistics for this paper
More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().