Income Elasticity for Medical Care Services: An Empirical Study in Thailand
DOI:
https://doi.org/10.14456/tresp.2016.5Keywords:
Income elasticity of demand, outpatient, inpatient, health insurance, ThailandAbstract
The objective of this paper is to investigate the potential household income effect on public and private health care choices for outpatient and inpatient services. A multinomial logit model on choice of health care services is estimated using the Health and Welfare Survey 2006 data from Thailand with information on the number of hospitals and doctors in each province. The results indicate that an increase in monthly household income has an impact on the likelihood of healthcare utilization. Income elasticity for outpatient services is approximately 0.17 and 0.21 at clinics and private hospitals respectively. Income elasticity for inpatient services is approximately 0.10 at public provincial hospitals and 0.25 at private hospitals. The positive income elasticity indicates that services at these healthcare providers are a necessity. In contrast, income elasticity is approximately -0.13 and -0.20 for outpatient and inpatient services at public district hospitals. This suggests that district hospitals may be an inferior good. This implies that patients from wealthier families are more likely to visit private hospitals or public provincial hospitals. The Universal Coverage or Gold Card beneficiaries show a positive statistically significant probability of visiting public district hospitals for outpatient and inpatient services. From the policy perspective, Universal Coverage or Gold Card plan should be designed for segments of population below a certain income level. The government can use funds that made available by the decreased number of Universal Coverage or Gold Card beneficiaries to raise the capitation rate or hire additional medical staff at district hospitals.
References
Akin, J.S., Griffin, C.C., Guilkey, D.K., & Popkin, B.M. (1986). The demand for primary health care services in the Bicol region of the Philippines. Economic Development and Cultural Change, 755-781.
Akin, J.S., Guilkey, C.C., & Denton, E.H. (1995). Quality of services and demand for health care in Nigeria: a multinomial probit estimation. Social Science and Medicine, 40(11), 1527-1537.
Akin, J.S., Guilkey, C.C., Hutchinson, P.L., & McIntosh, M.T. (1998). Price elasticities of demand for curative health care with control for sample selectivity on endogenous illness: an analysis for Sri Lanka. Economics of Health Care Systems, 7, 509-531.
Alderman, H. & Gertler, P. (1989). The substitutability of public and private health care for the treatment of children in Pakistan. LSMS Working paper Number 57.
Amaghionyeodiwe, L.A. (2008). Determinants of the choice of health care provider in Nigeria. Health Care Manage Sciences, 11, 215-227.
Anyanwu, J.C. (2007). Demand for health care institutions’ services: evidence from Malaria fever treatment in Nigeria. Journal compilation, 304-334.
Asfaw, A., Braun J., & Klasen S. (2004). How big is the crowding-out effect of user fees in the rural areas of Ethiopia? Implications for equity and resources mobilization. World development, 32(12), 2065-2081.
Bolduc, D., Lacroix, G., & Muller, C. (1996). The choice of medical providers in rural Benin: a comparison of discrete choice models. Journal of Health Economics, 15, 477-498.
Borah, B. (2006). A mixed logit model of health care provider choice: analysis of NSS data for rural India. Health Economics, 15(9), 915-932.
Celik, Y. & Hotchkiss D. (2000). The socio-economic determinants of maternal health care utilization in Turkey. Social Science & Medicine, 50, 1797-1806.
Chernichovsky, D. & Meesook, O.A. (1986). Utilization of health services in Indonesia. Social Science and Medicine, 23 (6), 611-620.
Ching, P. (1995). User fees, demand for children’s health care and access across income groups: the Philippine case. Social Science and Medicine, 41(1), 37-46.
Gertler, P., Locay, L., & Sanderson, W. (1987). Are user fees regressive?: the welfare implication of health care financing proposals in Peru. Journal of Econometrics, 6, 291-304.
Gertler, P. & Van Der Gaag, J. (1990). The willingness to pay for medical care: evidence from two developing counties. The John Hopkins University Press: Baltimore, MD.
Green, W.H. (2003). Econometric Analysis. Prentice-Hall: Upper Saddle River, NJ.
Heller, P. (1982). A model of the demand for medical and health services in Peninsular Malaysia. Social Science and Medicine, 16, 267-284.
Health and Welfare Survey (2006). The National Statistical Office Thailand
Jacobs, B., & Price, N. (2004). The impact of the introduction of user fees at a district hospital in Cambodia. Health Policy and Planning, 19(5), 310-321.
Kermani, M., Ghaderi, H., & Yousefi, A. (2008). Demand for medical in the urban areas of Iran: an empirical investigation. Health Economics, 17, 849-862.
Levin, A., Rahman, M.A., Quayyum, Z., Routh, S., & Khuda, B. (2001). The demand for child curative care in two rural thanas of Bangladesh: effect of income and women’s employment. International Journal of Health Planning and Management, 16, 179-194.
Lindelow, M. (2005). The utilization of curative healthcare in Mozambique: does income matter? Journal of African Economies, 14(3), 435-482.
McFadden, D. (1973). Conditional Logit analysis of qualitative choice behavior. In Frontiers in Econometrics, Zarembka P (ed.). Academic Press, NY.
Meuwissen, L.E. (2002). Problems of cost recovery implementation in district health care: A case study from Niger. Health Policy and Planning, 17(3), 304- 313.
Mocan, H.N., Tekin, E., & Zax, J.S. (2004). The demand for medical care in urban China. World Development, 32(2), 289-304.
Mwabu, G., Ainsworth, M., & Nyamete, A. (1995). Quality of Medical Care and Choice of Medical Treatment in Kenya an empirical analysis. Investment in women’s human capital. University of Chicago Press.
Mwabu, G., Wangombe, J., & Nganda, B. (2003). The demand for medical care in Kenya. African Development Review, 439-453.
Sidorenko, A. and Butler, J.R.G. 2007. Financing health insurance in Asia Pacific countries. Asian-Pacific Economic Literature. 21(1). pp. 34-54.
Suraratdecha, C., Saithanu, S. & Tangcharoensathien, V. (2005). Is universal coverage a solution for disparities in health care? Finding from three low-income provinces of Thailand. Health Policy, 73, 272-284.
Schwartz, J., Akin, J., & Popkin, B. (1988). Price and income elasticities of demand for modern health care: the case of infant delivery in the Philippines. The World Bank Economic Review, 2(1), 49-76.
Tangcharoensathien, V., Limwattananon, S., & Prakongsai, P. (2005). Equity in financing healthcare: impact of universal access to healthcare in Thailand. EQUITAP Project: Working Paper # 16.
Tangcharoensathien, V., Limwattananon, S., & Prakongsai, P. (2007). Improving health-related information systems to monitor equity in health: lessons from Thailand. The Economic of Health Equity, 222-246.
Tangcharoensathien, V., Prakongsai, P., Limwattananon, S., Patcharanarumol, W., & Jongudomsuk, P. (2007). Achieving universal coverage in Thailand: what lessons do we learn? A case study commissioned by the Health Systems Knowledge Network.
Thomason, J., Mulou, N., & Bass, C. (1994). User charges for rural health-services in Papua-New-Guinea. Social Science & Medicine, 39(8), 1105-1115. Towse, A., Mills, A., and Tangcharoensathien V. 2004. Learning from Thailand’s health reforms. British Medical Journal. v328(7431). pp. 103-105.
Van der Geest, S., Macwan’gi, M., Kamwanga, J., Mulikelela, D., Mazimba, A., & Mwangelwa, M. (2000). User fees and drugs: What did the health reforms in Zambia achieve? Health Policy and Planning, 15(1), 59-65.
Waddington, C. & Enyimayew, K.A. (1990). A price to pay, part 2: the impact of user charges in the Volta region of Ghana. International Journal of Health Planning and Management, 5, 287-312.