Chapter 15
Longitudinal Data and Experience Rating
Katrien Antonio
Universiteit van Amsterdam Amsterdam, Netherlands
Peng Shi
University of Wisconsin Madison Madison, Wisconsin, USA
Frank van Berkum
Universiteit van Amsterdam Amsterdam, Netherlands
15.1 Motivation
15.1.1 A Priori Rating for Cross-Sectional Data
In Chapter 14 on “General Insurance Pricing,” Boucher & Charpentier discuss regression techniques suitable for pricing with cross-sectional data. A cross-sectional dataset observes each subject in the sample (for instance, a policy(holder)) only once. Each subject is therefore described by a single response, say s (Generalized) for subject i, and vector with covariate information, xi. Assuming independence between subjects, Linear ...
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