NICEP 2025-02: When do voters stop caring? Estimating the shape of voters' utility functions

Abstract

In this paper, we address a longstanding puzzle over the functional form that better approximates voter utility from political choices. Though it has become the norm in the literature to represent voter utility with concave loss functions, for decades scholars have underscored this assumption’s potential shortcomings. Yet there exists little to no evidence to support one functional form assumption over another. We fill this gap by first identifying electoral settings where the different functional forms generate divergent predictions about voter behavior. We then assess which functional form better matches observed voter and abstention behavior using Cast Vote Record (CVR) data that captures the anonymized ballots of millions of voters in the 2020 U.S. general election. Our findings indicate that concave loss functions fail to predict voting and abstention behavior, and it is the reverse S-shaped loss functions, such as the Gaussian function, that better match
observed voter behavior.

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Authors

Aleksandra Conevska and Can Mutlu

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