Abstract
In insurance the expected number of claims per year given the observed characteristics of the covered risk is the basis for setting the price of a policy. Companies accumulate information of clients along several years, but in practice the panel data structure is not exploited. We review panel count data models that are useful in this context and present a new alternative based on the generalization of a compound sum.
Resumen
En seguros, el número esperado de reclamaciones por año dadas las características del riesgo cubierto es la base para establecer el precio de una póliza. Las compañías de seguros acumulan informaci ón de clientes a lo largo de varias anualidades, pero en la práctica la estructura de panel de los datos no se explota. Revisamos los modelos para paneles de datos de enumeración que son útiles en este contexto y presentamos una nueva alternativa basada en la generalización de una suma compuesta.
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Boucher, JP., Guillén, M. A survey on models for panel count data with applications to insurance. Rev. R. Acad. Cien. Serie A. Mat. 103, 277–294 (2009). https://doi.org/10.1007/BF03191908
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DOI: https://doi.org/10.1007/BF03191908
Keywords
- Panel data
- random effects
- conditional distribution
- zero-inflated distribution
- hurdle distribution
- compound sum