Information asymmetry in medical insurance: an empirical study of one life insurance company in Taiwan

Yao-Tung Chen and Sheng-Chang Peng

Applied Economics, 2022, vol. 54, issue 46, 5351-5356

Abstract: Based on the data from one anonymous but renowned life insurance company in Taiwan, this paper focuses on a big data analysis using R programming language while adhering to the requisite conditions for the validity of using regression model to test the existence of the issue of information asymmetry in medical insurance. The log-linear regression model is adopted to fit with the data set and it is shown: There is a significantly non-linear positive relationship between the compensations and the insurance coverage, indicating that the issue of information asymmetry does exist among those claimants under discussion; the older those claimants were insured, the more they claimed; women claimed more medical compensation than men; those paying premiums quarterly claimed the highest.

Date: 2022
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DOI: 10.1080/00036846.2022.2044994

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