A microeconometric analysis of Canadian health care utilization

Sisira Sarma and Wayne Simpson

Health Economics, 2006, vol. 15, issue 3, 219-239

Abstract: Understanding health care utilization is important to design efficient and effective health systems. Toward this end, we develop a relatively simple and intutively appealing microeconometric framework to analyse health care utilization and illustrate its use with recent Canadian microdata. We find that health care utilization consists of distinct stochastic processes requiring the use of two stochastic regression models. In particular, the latent class modelling framework is the superior statistical framework if the data permit modelling unobserved heterogeneity and overdispersion. In many instances, results differ for the classes of high and low users of health care services. Copyright © 2005 John Wiley & Sons, Ltd.

Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

Downloads: (external link)
https://doi.org/10.1002/hec.1057

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:hlthec:v:15:y:2006:i:3:p:219-239

Access Statistics for this article

Health Economics is currently edited by Alan Maynard, John Hutton and Andrew Jones

More articles in Health Economics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().