Nonnegative Second-Order Semiparametric Analysis and Experience Rating in Non-life Insurance

Jean Pinquet ()
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Jean Pinquet: Université Paris Nanterre

A chapter in Handbook of Insurance, 2025, pp 447-462 from Springer

Abstract: Abstract A guiding theme of the chapter is the memory in longitudinal nonlife insurance data, and especially in automobile insurance. Memory in bonus–malus scales, in real-world rating structures and in statistical models on insurance data, is related to the magnitude of no-claim discounts, if the seniority is controlled for. By increasing length of memory in the automobile insurance sector, we have the following ranking: bonus–malus scales, real-world rating structures, and frequency risks estimated by statistical models. The chapter also studies the point-record driving licenses based on traffic violations, which are used to create incentives to safe driving. The incentive properties are discussed, as well as the future of point-record driving licenses in a context where the driver’s behavior would be recorded in real time. The bulk of the chapter is devoted to the semiparametric analysis of panel count data.

Keywords: Length of memory; Bonus–malus scales; Point-record driving licenses; Stationary time series; Semiparametric analysis; Panel count data; C13; C14; C23; C25; C32 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-69561-2_16

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DOI: 10.1007/978-3-031-69561-2_16

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