A Latent Variable Approach for the Construction of Continuous Health Indicators
AbstractIn most health survey the state of health of individuals is measured through several different kinds of variables such as qualitative, discrete quantitative or dichotomic ones. From these variables, one aims at building univariate indices of health that summarize the information. To do so, we propose in this paper to use Generalized Linear Latent Variable Models (GLLVM) (see e.g. Bartholomew and Knott 1999), which allows to estimate one or more continuous latent variables from a set of observable ones. As an application, we consider the data from the 1997 Swiss Health Survey and build two health indicators. The first one describes the health status induced merely by the age of the subject, and the second one complements the first one.
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Bibliographic InfoPaper provided by Institut d'Economie et Econométrie, Université de Genève in its series Research Papers by the Institute of Economics and Econometrics, Geneva School of Economics and Management, University of Geneva with number 2004.07.
Length: 8 pages
Date of creation: Aug 2004
Date of revision:
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This paper has been announced in the following NEP Reports:
- NEP-HEA-2004-09-12 (Health Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Philippe Huber & Elvezio Ronchetti & Maria-Pia Victoria-Feser, 2004. "Estimation of generalized linear latent variable models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(4), pages 893-908.
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