A Latent Variable Approach for the Construction of Continuous Health Indicators
In 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.
|Date of creation:||Aug 2004|
|Date of revision:|
|Contact details of provider:|| Postal: 40 Boulevard du Pont-d'Arve, CH-1211 Geneva 4, Switzerland|
Phone: +41 22 379 8263
Fax: +41 22 379 82 93
Web page: http://www.unige.ch/gsem/dsec/index.html
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.
When requesting a correction, please mention this item's handle: RePEc:gen:geneem:2004.07. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.