Number of Accidents or Number of Claims? An Approach with Zero-Inflated Poisson Models for Panel Data

@inproceedings{Boucher2009NumberOA,
  title={Number of Accidents or Number of Claims? An Approach with Zero-Inflated Poisson Models for Panel Data},
  author={J. Boucher and Michel Denuit and Montserrat Guillen},
  year={2009}
}
The hunger for bonus is a well-known phenomenon in insurance, meaning that the insured does not report all of his accidents to save bonus on his next year’s premium. In this paper, we assume that the number of accidents is based on a Poisson distribution but that the number of claims is generated by censorship of this Poisson distribution. Then, we present new models for panel count data based on the zero-inflated Poisson distribution. From the claims distributions, we propose an approximation… CONTINUE READING
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