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

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  • Yao-Tung Chen
  • Sheng-Chang Peng

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.

Suggested Citation

  • Yao-Tung Chen & Sheng-Chang Peng, 2022. "Information asymmetry in medical insurance: an empirical study of one life insurance company in Taiwan," Applied Economics, Taylor & Francis Journals, vol. 54(46), pages 5351-5356, October.
    • Handle: RePEc:taf:applec:v:54:y:2022:i:46:p:5351-5356
    DOI: 10.1080/00036846.2022.2044994
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