Appling the Tweedie model for improved microinsurance pricing

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      <subfield code="a">Microinsurance usually involves basic rate making due to the lack of actuarial skills, causing microinsurers to add significant charges to premiums to compensate for unexpected variations in risk assesment. The situation could be improved by applying predictive modelling techniques to enable better pricing in the microinsurance market. This paper proposes the application of a generalised linear model with the Tweedie compound Poison-Gamma distribution for a bundled microinsurance in the Philippines. The risk factors considered are mainly derived from the available database and are related to the features of the insured. The results of the predictive analysis point out that there are three predictors that best fit the model: age of the insured, policy age, and population density. The application of the Tweedie model provides fair and accurate risk premiums that outperform the model currently applied by the company and enhance its risk control.</subfield>
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      <subfield code="t">Geneva papers on risk and insurance : issues and practice</subfield>
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      <subfield code="g">01/07/2019 Volumen 44 Número 3 - julio 2019 , p- 365-381</subfield>
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