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Abstract This article proposes a computer‐intensive methodology to build bonus‐malus scales in automobile insurance. The claim frequency model is taken from Pinquet, Guillén, and Bolancé (2001) . It accounts for overdispersion, heteroskedasticity, and dependence among repeated observations. Explanatory variables are taken into account in the determination of the relativities, yielding an integrated automobile ratemaking scheme. In that respect, it complements the study of Taylor (1997) .
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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