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demand for medical care in urban areas of iran: an empirical investigation

نویسنده:

(18 صفحه - از 123 تا 140)

The purpose of this paper is to empirically investigate the factors affecting demand for medical care in Iran the population for this study relates to the Medical Care Insurance Organization of Iran. For the sake of conducting the analysis a sample of 4260 individuals are chosen using a fuzzy sampling procedure. The data was then analyzed using a multinomial logit model. The results show that price has had a negative sign and has been inelastic in all different choices for medical care (four different choices were assumed for each individual and their families). Income, health characteristics of the families and wealth proxies have expected signs though some with insignificant elasticities. The results are then used to assess the policy implications for the organization.

خلاصه ماشینی:

"Consequently, a significant amount of research has also been devoted to the investigation of the determinants of the demand for medical care in developing countries (Akin, Guilky and Denton 1995, Sauerborn, Nougtara and Latimer 1994, Gertler, Locay and Sanderson 1987, Dor, Gertler and Van der Gaag 1987, Akin et al. However, their studies are about demand for medical care in rural areas where the sample frames consist entirely of farm households, with very limited choice in health facilities. Detailed information on quantity, type and expenditures for health care used was also obtained from all household members who reported an illness or injury during the four weeks prior to the interview for office and clinic visits, and 12 months prior to interview for in-patient services at hospitals or clinics. Other variables that may influence the consumption of medical care include age, the number of sick days or hospital days, working status, car and home ownership, air conditioning, clean water, washing machine, complementary insurance, etc. 0538 Health Related Variables: Access to warm water, washing machine, central heating and air conditioning all have a negative impact on demand for medical care. After a brief review of the literature and theoretical base of the demand for medical care, data and variables are introduced and models were estimated using a maximum likelihood approach. Van der Gaag, 1987, "Non-Price Rationing and The Choice for Medical Care Providers in Rural Cote D’Ivoire", Journal of Health Economics, 6:291-304."

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