Goodness of fit in models for mortality data
AbstractMortality data on an aggregate level are characterized by very large sample sizes. For this reason, uninformative outcomes are evident in common Goodness-of-Fit measures. In this paper we propose a new measure that allows comparison of different mortality models even for large sample sizes. Particularly, we develop a measure which uses a null model specifically designed for mortality data. Several simulation studies and actual applications will demonstrate the performances of this new measure with special emphasis on demographic models and Pspline approach.
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Bibliographic InfoPaper provided by Universidad Carlos III, Departamento de Estadística y Econometría in its series Statistics and Econometrics Working Papers with number ws083909.
Date of creation: Sep 2008
Date of revision:
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More information through EDIRC
Goodness of fit; P-splines; R2; Mortality;
Find related papers by JEL classification:
- R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-09-13 (All new papers)
- NEP-ECM-2008-09-13 (Econometrics)
- NEP-HEA-2008-09-13 (Health Economics)
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