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Household, personal, and financial determinants of surrender in Korean health insurance

Authors
Shim, HyunooMin, Jung YeunChoi, Yang Ho
Issue Date
Sep-2021
Publisher
한국통계학회
Keywords
surrender; lapse rate; determinants; lasso regularized regression; panel survey data; random forest missing value imputation
Citation
Communications for Statistical Applications and Methods, v.28, no.5, pp 447 - 462
Pages
16
Indexed
SCOPUS
ESCI
KCICANDI
Journal Title
Communications for Statistical Applications and Methods
Volume
28
Number
5
Start Page
447
End Page
462
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/108211
DOI
10.29220/CSAM.2021.28.5.447
ISSN
2287-7843
2383-4757
Abstract
In insurance, the surrender rate is an important variable that threatens the sustainability of insurers and determines the profitability of the contract. Unlike other actuarial assumptions that determine the cash flow of an insurance contract, however, it is characterized by endogenous variables such as people's economic, social, and subjective decisions. Therefore, a microscopic approach is required to identify and analyze the factors that determine the lapse rate. Specifically, micro-level characteristics including the individual, demographic, microeconomic, and household characteristics of policyholders are necessary for the analysis. In this study, we select panel survey data of Korean Retirement Income Study (KReIS) with many diverse dimensions to determine which variables have a decisive effect on the lapse and apply the lasso regularized regression model to analyze it empirically. As the data contain many missing values, they are imputed using the random forest method. Among the household variables, we find that the non-existence of old dependents, the existence of young dependents, and employed family members increase the surrender rate. Among the individual variables, divorce, non-urban residential areas, apartment type of housing, non-ownership of homes, and bad relationship with siblings increase the lapse rate. Finally, among the financial variables, low income, low expenditure, the existence of children that incur child care expenditure, not expecting to bequest from spouse, not holding public health insurance, and expecting to benefit from a retirement pension increase the lapse rate. Some of these findings are consistent with those in the literature.
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