Affiliation:
1. Division of the Humanities and Social Sciences, California Institute of Technology, 1200 E California Blvd, MC 228-77, Pasadena, CA 91125
Abstract
We present evidence consistent with time-varying risk preferences among automobile drivers. Exploiting a unique dataset of agents’ high-frequency driving behavior collected by a mobile phone application, we show that drivers drive more conservatively following “near-miss” accidents. In a preferred specification, a nearmiss triggers a reduction in driving distance of 12.98 kilometers, in-car cellphone use by more than 100%, and highway use by 43.24%. Structural estimation results indicate that such changes in behavior are consistent with an increase in risk aversion of 10.54–43.77% and a reduction in annual insurance cost amounting to 2.04–3.31% of the average car insurance premium.
Subject
Economics and Econometrics,Social Sciences (miscellaneous)
Reference2 articles.
1. Adverse Selection and Moral Hazard in Insurance: Can Dynamic Data Help to Distinguish?
2. Agarwal, Sumit, John C. Driscoll, Xavier Gabaix, and David Laibson. 2008. “Learning
Cited by
6 articles.
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