The Economy as an Evolving Complex System IV, pp. xx–xx
DOI: 10.37911/9781947864665.02
22. Complexity Theory and Economic Inequality
Author: Steven N. Durlauf, University of Chicago, David McMillon, Emory University, and Scott E. Page, University of Michigan–Ann Arbor and Santa Fe Institute
Abstract
We analyze the potential for complexity theory to produce insights that elucidate the evolution of socioeconomic inequality and point toward effective policies. We position complexity theory as a complement to more traditional economic approaches. Economic models of inequality can fall into four broad categories: models based on individual attributes and technologies, social interaction models, intergenerational models of transfer, and models of institutional and social structure. Within each of these categories, complexity theory can enhance traditional theory. It is of particular value in helping to distinguish between bottom-up systemic and top-down structural causes of inequality. Complexity theory can further enrich our understanding of economic inequality by adopting a complex adaptive system of systems approach in which economic, social, political, and psychosocial systems interact with one another and with institutional and social structures to produce robust inequality, particularly on racial lines.
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