Author:
Christiansen Marcus,Denuit Michel,Lucas Nathalie,Schmidt Jan-Philipp
Abstract
AbstractThis note proposes a practical way for modelling and projecting health insurance expenditures over short time horizons, based on observed historical data. The present study is motivated by a similar age structure generally observed for health insurance claim frequencies and yearly aggregate losses on the one hand and mortality on the other hand. As an application, the approach is illustrated for German historical inpatient costs provided by the Federal Financial Supervisory Authority. In particular, similarities and differences to mortality modelling are addressed.
Publisher
Cambridge University Press (CUP)
Subject
Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability
Reference18 articles.
1. Gnm: a package for generalized nonlinear models;Turner;R News,2007
2. Evaluating and extending the Lee-Carter model for mortality forecasting: bootstrap confidence intervals;Koissi;Insurance: Mathematics and Economics,2006
3. LIFELONG HEALTH INSURANCE COVERS WITH SURRENDER VALUES: UPDATING MECHANISMS IN THE PRESENCE OF MEDICAL INFLATION
4. Pension Plan Valuation and Mortality Projection
5. Milbrodt H. & Röhrs V. (2016). Aktuarielle Methoden der deutschen Privaten Krankenversicherung (Vol. 34). Verlag Versicherungswirtsch.
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