An Insurance Type Model for the Health Cost of Cold Housing

an Application of GAMLSS

Authors

  • Robert Gilchrist London Metropolitan University
  • Alim Kamara London Metropolitan University
  • Janet Rudge London Metropolitan University

DOI:

https://doi.org/10.57805/revstat.v7i1.73

Keywords:

Beta Binomial, GAMLSS, insurance, morbidity, costs

Abstract

This paper introduces a substantive problem, namely the link between fuel poverty and excess winter morbidity amongst older people, and shows how the GAMLSS suite of programs (www.gamlss.com) can be used to provide a very flexible method of modelling both the number of hospital admissions and the corresponding lengths of stay in hospital. The approach is closely related to the models that have been used to model the number of insurance claims, and their cost (see Heller et al. (2007)). We fit the Beta Binomial distribution and a variety of continuous distributions.

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Published

2009-04-28

How to Cite

Gilchrist , R., Kamara , A., & Rudge , J. (2009). An Insurance Type Model for the Health Cost of Cold Housing : an Application of GAMLSS. REVSTAT-Statistical Journal, 7(1), 55–66. https://doi.org/10.57805/revstat.v7i1.73

Issue

Vol. 7 No. 1 (2009): REVSTAT-Statistical Journal

Section

Article

License

Copyright (c) 2009 REVSTAT-Statistical Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.