Beliefs and Voting Decisions: A Test of the Pivotal Voter Model
Professor Duffy is a highly accomplished experimental economist, and Director of the Pittsburgh Experimental Economics Laboratory. He is interested in combining laboratory procedures with agent based simulation procedures, and has a chapter on this topic in Volume 2 of the Handbook of Computational Economics.
Abstract
We report results from a laboratory experiment testing the basic hypothesis imbedded in various rational voter models that there is a direct correlation between the strength of an individual's belief that his/her vote will be pivotal and the likelihood that individual incurs the cost to vote. This belief is typically unobservable. In one of our experimental treatments we elicit these subjective beliefs using a proper scoring rule that induces truthful revelation of beliefs. This allows us to directly test the pivotal voter model. We find that a higher subjective probability of being pivotal increases the likelihood that an individual votes, but the probability thresholds used by subjects are not as crisp as the theory would predict. There is some evidence that individuals learn over time to adjust their beliefs to be more consistent with the historical frequency of pivotalness. However, many subjects keep substantially overestimating their probability of being pivotal.
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