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Risk Management and Insurance Review
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
EconStor
Article . 2025
License: CC BY
Data sources: EconStor
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Testing for loss severity: Impact on loss reduction

Authors: Kar Man Tan;

Testing for loss severity: Impact on loss reduction

Abstract

Abstract This paper examines moral hazard in insurance when individuals are faced with different loss reduction functions and able to test for loss severity with results potentially being observed by insurers. It is important to distinguish between the types of loss reduction, that is, monetary or physical effort‐based, and the functional form of loss reduction costs to account for different loss reduction strategies meant for different types of risks. With monetary loss reduction costs, individuals tend to engage in identical levels of loss reduction regardless of the functional form. With effort‐based loss reduction, the individual with higher severity engages in more loss reduction although this does not necessarily hold when the functional form of loss reduction costs is concave. Identifying the optimal loss reduction has implications on insurance decisions, hence individuals can be motivated to test to discover their severity level.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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!
2
Top 10%
Average
Average
hybrid