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Probability weighting and insurance demand in a unified framework
Journal article   Open access   Peer reviewed

Probability weighting and insurance demand in a unified framework

Johannes G. Jaspersen, Richard Peter and Marc A. Ragin
The Geneva risk and insurance review, Vol.48(1), pp.63-109
03/01/2023
DOI: 10.1057/s10713-022-00074-x
url
https://doi.org/10.1057/s10713-022-00074-xView
Published (Version of record) Open Access

Abstract

We provide a comprehensive analysis of the impact of probability weighting on optimal insurance demand in a unified framework. We identify decreasing relative overweighting as a new local condition on the probability weighting function that is useful for comparative static analysis. We discuss the effects of probability weighting on coinsurance, deductible choice, insurance demand for low-probability, high-impact risks versus high-probability, low-impact risks, and insurance demand in the presence of nonperformance risk. Probability weighting can make better or worse predictions than expected utility depending on the insurance demand problem at hand.
Economics and Finance Finance Financial Services General Insurance Original Article Risk Management

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