Date of Award

Spring 5-2024

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Behavioral and Computational Economics

First Advisor

Laurence Iannaccone

Second Advisor

Stephen Rassenti

Third Advisor

David Porter

Abstract

People belong to many different groups, and few belong to the same network of groups. Moreover, people routinely reduce their involvement in dysfunctional groups while increasing involvement in those they find more attractive. The net effect can be an increase in overall cooperation and the partial isolation of free-riders, even if free-riders are never punished, excluded, or recognized. We test this conjecture with a multi-good extension of the standard finitely repeated public goods game. Our results from four treatments suggest that the multi-group setting indeed raises overall cooperation and dampens the impact of free-riders.

DOI

10.36837/chapman.000598

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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