Analysis of Adverse Selection and Moral Hazard in the Health Insurance Market of Iran
AbstractThis paper aims to estimate a demand model for health insurance and medical care in Iran, in the presence of heterogeneous and latent health status of individuals; moreover it tests the asymmetry of information in the health insurance market. Our data set have been taken from the Households’ expenditures survey (2006) of Iran. Parameters of the model are estimated by the Generalized Method of Moments (GMM) and the presence of asymmetric information (adverse selection and moral hazard) is tested by a non-parametric econometric method. The analytical model is specified under minimal assumptions on the selection process of different insurance categories and the statistical distribution of individual's latent health status. The findings confirm the presence of adverse selection hypothesis in personally purchased health insurance and moral hazard in all health insurance categories.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Palgrave Macmillan in its journal The Geneva Papers on Risk and Insurance Issues and Practice.
Volume (Year): 35 (2010)
Issue (Month): 4 (October)
Contact details of provider:
Web page: http://www.palgrave-journals.com/
Postal: Palgrave Macmillan Journals, Subscription Department, Houndmills, Basingstoke, Hampshire RG21 6XS, UK
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Elizabeth Gale).
If references are entirely missing, you can add them using this form.