Complexity Theory and Economic Inequality / Steven N. Durlauf, David McMillon, Scott Page.

Format:

Book

Author/Creator:

Durlauf, Steven N.

Contributor:

McMillon, David.

Page, Scott.

National Bureau of Economic Research.

Series:

Working Paper Series (National Bureau of Economic Research) no. w34381.

NBER working paper series no. w34381

Language:

English

Physical Description:

1 online resource: illustrations (black and white);

Place of Publication:

Cambridge, Mass. National Bureau of Economic Research 2025.

Summary:

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.

Notes:

October 2025.

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