Media Introduction & Experience Rating with Markov Chains (Gauss Prize 2019)

Introduction & Experience Rating with Markov Chains (Gauss Prize 2019)

uploaded November 2, 2022 Views: 561 Comments: 0 Favorite: 1 CPD
Speakers: 
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(Hansjörg Albrecher) - Welcome, Overview of the European Actuarial Journal and its Mission

(Christian Furrer) - In this talk, I clarify potential deficiencies of classic credibility theory for group health and disability insurance. I suggest an empirical Bayes and multivariate frailty approach to experience rating in multi-state models. Careful analyses of the structure of the likelihood leads to certain simple benchmark models. A numerical example using simulated data illustrates the pros and cons of the suggested approach. Finally, I briefly discuss extension to dependent group e↵ects. Throughout the focus is on the disability model; general results may be found in Furrer (2019).

 

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Categories: AFIR / ERM / RISK
Content groups:  content2022

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