I propose a game-theoretic model of costly voting that predicts significant turnout rates even when the electorate is arbitrarily large. The model has two key features that jointly drive the result: (i) some agents are altruistic (or ethical), (ii) among the agents who prefer any given candidate, the fraction of altruistic agents is uncertain. When deciding whether to vote or not, an altruistic agent compares her private voting cost with the expected contribution of her vote to the welfare of the society. Under suitable homogeneity assumptions, the asymptotic predictions of my model coincide with those of Feddersen and Sandroni [12] up to potential differences between the respective parameters that measure the importance of the election. I demonstrate with an example that these homogeneity assumptions are not necessary for qualitative predictions of my model. I also show that when the fractions of altruistic agents are known, turnout rates will typically be close to zero in a large election, despite the presence of altruism.
Warm-glow refers to other-serving behavior that is valuable for the actor per se, apart from its social implications. We provide axiomatic foundations for warm-glow by viewing it as a form of preference for larger choice sets, in the sense of the literature on freedom of choice. Speci…cally, an individual who experiences warm-glow prefers the freedom to be sel…sh: she values the availability of sel…sh options even if she plans to act unsel…shly. Our theory also provides foundations for empirically distinguishing between warm-glow and other motivations for prosocial behavior. The implied choice behavior subsumes Riker and Ordeshook (1968) and Andreoni (1990).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.