Dynamic Insurance Decision-Making for Rare Events: The Role of Emotions

Abstract

This paper describes the results of a web-based experiment that uses respondents’ stated preferences for purchasing insurance for low-probability, high-consequence events where the probability of a loss and its consequences are stable over time. We contrast the predictions of a model of insurance choice based on expected utility [E(U)] maximisation with those of an alternative behavioural model. The majority of subjects reported insurance purchasing behaviour consistent with expected utility theory; however, a sizeable number of uninsured individuals decided to purchase insurance after learning that they had suffered a loss whereby they responded that their prior choice to be uninsured made them unhappy. In this sense, the study shows that a loss coupled with self-reported emotions linked to the loss is likely to play an important role in convincing some uninsured persons to buy coverage. In contrast, insured individuals who did not suffer a loss rarely dropped coverage.