Private incentives in social dilemmas: The effects of incomplete information and altruism

Abstract

This paper analyzes the provision of discrete public goods when individuals have altruistic preferences which others do not precisely know. The problem is formulated and solved as a Bayesian game. In contrast to standard social psychological approaches, based on such natural language terms as greed, fear, and trust, the Bayesian approach provides a rigorous mathematical treatment of social participation. This theory is shown to make strong testable predictions that can integrate data collected across a wide variety of natural and experimental settings. The altruism model is shown to be supported by existing experimental data on binary voluntary contribution games.

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