The Irish health care system offers a tax financed, universal entitlement to public care at a nominal user fee, nonetheless 50% of the Irish population purchase private health insurance. This paper empirically models the propensity to insure as a function of individual and household characteristics using panel data analysis and compares three alternate approaches; a static, chamberlain-mundlak and dynamic specification. Using panel data from 1994 to 2000, we consider whether propensity to insure is in fact a function of heterogeneity or of state dependence. A range of individual and household characteristics is shown to influence propensity to insure. Overall the positive effect of education and income and the negative effect of poor health status remain robust across three specifications. In moving toward a dynamic specification, we show that persistence is a highly significant determinant of demand for private health insurance and also that it reduces the size of the coefficients on the regressors. The latter point highlights that while education, income and, to a lesser extent, health status have very large effects on probability of insuring, these effects are overestimated where no attempt is made to control for unobserved heterogeneity or state dependence.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.