Implicit Prioritization of Life Insurance Coverage: A Study of Policyholder Preferences in a Danish Pension Company

This study evaluates the utility derived by policyholders in a Danish pension company, from their life insurance coverages. We quantify the relative importance policyholders assign to their existing coverages versus a hypothetical complete coverage scenario, thereby measuring the implicit priority of their current coverage. By analyzing these implicit priorities based on individual attributes such as age, financial situation, and company agreement limitations, we gain a comprehensive understanding of policyholders’ evaluations of their current life insurance coverage. Utilizing a continuous-time life cycle model, we optimize consumption and life insurance decisions during the accumulation phase, applying well-established theoretical findings to actual data. Our analysis identifies trends, outliers, and insights that can inform potential improvements in life insurance coverage. This tool aims to assist policyholders in prioritizing their coverage according to their life situations and provides a foundation for advisory dialogues and product development.

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Publication Details

Journal
Risks
Published
2025-05-26
DOI
https://doi.org/10.3390/risks13060103
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Implicit Prioritization of Life Insurance Coverage: A Study of Policyholder Preferences in a Danish Pension Company

Julie Bjørner Søe
Risks
Insurance and Financial Risk Management
article

Implicit Prioritization of Life Insurance Coverage: A Study of Policyholder Preferences in a Danish Pension Company

Julie Bjørner Søe
article en

Abstract

This study evaluates the utility derived by policyholders in a Danish pension company, from their life insurance coverages. We quantify the relative importance policyholders assign to their existing coverages versus a hypothetical complete coverage scenario, thereby measuring the implicit priority of their current coverage. By analyzing these implicit priorities based on individual attributes such as age, financial situation, and company agreement limitations, we gain a comprehensive understanding of policyholders’ evaluations of their current life insurance coverage. Utilizing a continuous-time life cycle model, we optimize consumption and life insurance decisions during the accumulation phase, applying well-established theoretical findings to actual data. Our analysis identifies trends, outliers, and insights that can inform potential improvements in life insurance coverage. This tool aims to assist policyholders in prioritizing their coverage according to their life situations and provides a foundation for advisory dialogues and product development.

RisksVol. 13(6)
University of Copenhagen (DK)
Openalex Percentile: Top 83%
Insurance and Financial Risk Management
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