Social Conflict and the Evolution of Unequal Conventions

Author:

Hwang Sung-Ha1,Naidu Suresh2,Bowles Samuel3

Affiliation:

1. Korean Advanced Institute of Science and Technology (KAIST) , Korea

2. Columbia University , USA

3. Santa Fe Institute, USA and the University of Siena , Italy

Abstract

Abstract We propose a theory of social norms (or conventions) that implement substantial levels of inequality between men and women, ethnic groups, and classes and that persist over long periods of time despite being inefficient and not supported by formal institutions. Consistent with historical cases, we extend the standard asymmetric stochastic evolutionary game model to allow subpopulation sizes to differ and idiosyncratic rejection of a status quo convention to be intentional to some degree (rather than purely random as in the standard evolutionary models). In this setting, if idiosyncratic play is sufficiently intentional and the subordinate class is sufficiently large relative to the elite, then risk-dominated conventions that are both more unequal and inefficient relative to alternative conventions will be stochastically stable and may persist for long periods. We show that the same is true in a general bipartite network of the population if most of the subordinate groups interactions are local, while the elite is more “cosmopolitan”. We apply the model to the evolution of wage conventions on the bipartite network of workers and employers, and find that an unequal monopsonistic wage convention is robust to the idiosyncratic play of workers that otherwise might displace it.

Funder

Santa Fe Institute

National Research Foundation of Korea

Social Sciences and Humanities Research Council of Canada

Publisher

Oxford University Press (OUP)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tiebout sorting in online communities;The Annals of Regional Science;2024-07-19

2. Study on the Methods of Improving the Efficiency of Tax Reduction in Economic Downturns, Especially after COVID-19 Pandemic;American Journal of Industrial and Business Management;2024

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