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Prospect Theory and Insurance Demand

Authors: In Do Hwang;

Prospect Theory and Insurance Demand

Abstract

This paper empirically tests if prospect theory’s loss-aversion and reference point dependence can explain individuals’ real-world insurance take-up behavior. This paper uses American Life Panel data and finds empirical evidence consistent with prospect theory: loss-averse individuals have a low ownership rate of long-term care insurance (LTCI), supplemental disability insurance (SDI), and private health insurance; they express a low willingness to pay for health insurance; they are unwilling to purchase health insurance in a hypothetical insurance choice experiment. These results are consistent with prospect theory, which predicts that loss-aversion may decrease insurance demand if individuals’ reference points are ‘the wealth level when they do not engage in insurance contracts.’ Under such reference points, individuals may regard insurance as a “risky investment” because they may lose premiums if a pre-specified bad event does not occur. Hence, those who are more sensitive to potential losses in premiums are unwilling to buy insurance. This paper also provides suggestive evidence that reference points are important in determining the relationship between loss-aversion and insurance demand by showing that the negative relationship between the two does not hold under a different reference point.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
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