Tang, Chor Foon (2010): The determinants of health expenditure in Malaysia: A time series analysis.
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The purpose of this study is to investigate the determinants of health expenditure in Malaysia within the time series framework from 1967 to 2007. This study employed the Johansen-Juselius cointegration test to examine the cointegration relationship. The results showed that health expenditure and its determinants are cointegrated. Consistent with economic theory, the TYDL and variance decomposition analysis reveals that the key explanatory variables in Malaysia’s health expenditure model are income, health care price and the proportion of population aged more than 65 years old. Moreover, the TYDL causality indicates that health expenditure and income is bi-directional in nature, thus policies initiative to promote health expenditure should be implemented to achieve sustainable economic growth and development.
|Item Type:||MPRA Paper|
|Original Title:||The determinants of health expenditure in Malaysia: A time series analysis|
|Keywords:||Cointegration; Health; Income; Malaysia; TYDL|
|Subjects:||H - Public Economics > H5 - National Government Expenditures and Related Policies > H51 - Government Expenditures and Health
I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy; Regulation; Public Health
C - Mathematical and Quantitative Methods > C2 - Single Equation Models; Single Variables > C22 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
C - Mathematical and Quantitative Methods > C0 - General > C01 - Econometrics
|Depositing User:||Chor Foon Tang|
|Date Deposited:||11. Aug 2010 15:45|
|Last Modified:||22. Feb 2013 05:34|
Athukorala, P. and Sen, K. (2002) Saving, Investment, and Growth in India. Oxford University Press, Oxford.
Amano, R.A. and Norden, S. (1992) Unit root tests and the burden of proof. Working Paper No. 92-7, Bank of Canada.
Asian Development Bank (2006) Key Indicators 2006: Measuring Policy Effectiveness in Health and Education. Asian Development Bank
Blomqvist, A.G. and Carter, R.A.L. (1997) Is health care really a luxury? Journal of Health Economics, 16(2), pp. 207-229.
Campbell, J.Y. and Perron, P. (1991) Pitfalls and opportunities: What macroeconomists should know about unit roots. NBER Macroeconomic Annual, 6, pp. 141-201.
Cheung, Y.W. and Lai, K.S. (1993) Finite-sample sizes of Johansen’s likelihood ratio tests for cointegration. Oxford Bulletin of Economics and Statistics, 55(3), pp. 313-328.
Deaton, A.S. (1989) Saving in developing countries: Theory and review. In: Proceedings of the World Bank Annual Conference on Development Economics 1989 (Eds) S. Fischer and D. de Tray, World Bank, Washington, D.C., pp. 61-108.
DeJong, D.A., Nankervis, J.C., Savin, N.E. and Whiteman, C.H. (1992) Integration versus trend stationarity in time series. Econometrica, 60(2), pp. 423-433.
Devlin, N. and Hansen, P. (2001) Health care spending and economic output: Granger causality. Applied Economics Letters, 8(8), pp. 561-564.
Dickey, D.A. and Fuller, W.A. (1979) Distributions of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366), pp. 427-431.
Dickey, D.A. and Fuller, W.A. (1981) Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), pp. 1057-1072.
Dolado, J.J., Jenkinson, T. and Sosvilla-Rivero, S. (1990) Cointegration and unit roots. Journal of Economic Surveys, 4(3), pp. 249-273.
Dolado, J.J. and Lütkepohl, H. (1996) Making Wald tests work for cointegrated VAR system. Econometric Reviews, 15(4), pp. 369-386.
Engle, R.F. and Granger, C.W.J. (1987) Co-integration and Error Correction: Representation, Estimation and Testing. Econometrica, 55(2), pp. 251-276.
Freeman, D.G. (2003) Is health care a necessity or a luxury? Pooled estimates of income elasticity from US state-level data. Applied Economics, 35(5), pp. 495-502.
Gerdtham, U.G. and Jönsson, B. (1991) Conversion factor instability in international comparisons of health care expenditure. Journal of Health Economics, 10(2), pp. 227-234.
Gerdtham, U. and Löthgren, M. (2000) On stationary and cointegration of international health expenditure and GDP. Journal of Health Economics, 19(4), pp. 461-475.
Granger, C.W.J. (1986) Development in the study of co-integrated economic variables. Oxford Bulletin of Economics and Statistics, 48(3), pp. 213-228.
Granger, C.W.J. and Newbold, P. (1974) Spurious regression in econometrics. Journal of Econometrics, 2(2), pp. 111-120.
Grossman, M. (1972) On the concept of health capital and the demand for health. Journal of Political Economy, 80(2), pp. 223-255.
Hakkio, C.S. and Rush, M. (1991) Cointegration: How short is the long-run? Journal of International Money and Finance, 10(4), pp. 571-581.
Hall, S.G. (1991) The effect of varying length VAR models on the maximum likelihood estimates of cointegrating vectors. Scottish Journal of Political Economy, 38(4), pp. 317-323.
Hansen, P. and King, A. (1996) The determinants of health care expenditure: A cointegration approach. Journal of Health Economics, 15(1), pp. 127-137.
Hartwig, J. (2008) What drives health care expenditure? – Baumol’s model of ‘unbalanced growth’ revisited. Journal of Health Economics, 27(3), pp. 603-623.
Herwartz, H. and Theilen, B. (2003) The determinants of health care expenditure: Testing pooling restrictions in small samples. Health Economics, 12(2), pp. 113-124.
Hitiris, T. and Posnett, J. (1992) The determinants and effects of health expenditure in developed countries. Journal of Health Economics, 11(2), pp. 173-181.
Johansen, S. (1988) Statistical analysis of cointegrating vector. Journal of Economic Dynamics and Control, 12(2-3), pp. 231-255.
Johansen, S. and Juselius, K. (1990) Maximum likelihood estimation and inference on cointegration with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2), pp. 169-210.
Kwiatkowski, D., Phillips, P.C.B., Schmidt, P. and Shin, Y. (1992) Testing the null of stationarity against the alternative of a unit root: How sure are we that the economic time series have a unit root? Journal of Econometrics, 54(1-3), pp. 159-178.
Liew, K.S. (2004) Which lag length selection criteria should we employed? Economics Bulletin, 3, pp. 1-9.
Lütkepohl, H. (2005) New Introduction to Multiple Time Series Analysis. Springer-Verlag, Germany.
MacKinnon, J.G. (1996) Numerical distribution functions for unit root and cointegration tests. Journal of Applied Econometrics, 11(6), pp. 601-618.
Metteo, L.D. (2005) The macro determinants of health expenditure in the United States and Canada: Assessing the impact of income, age distribution and time. Health Policy, 71(1), pp. 23-42.
Musgrove, P., Zeramdini, R. and Carrin, G. (2002) Basic patterns in national health expenditure. Bulletin of the World Health Organisation, 80(2), pp. 134146.
Mushkin, S.J. (1962) Health as an investment. Journal of Political Economy, 70(5), pp. 129-157.
Nelson, C.R. and Plosser, C.I. (1982) Trends and random walks in macroeconomic time series: Some evidence and implications. Journal of Monetary Economics, 10(2), pp. 139-162.
Newhouse, J.P. (1977) Medical-care expenditure: A cross-national survey. Journal of Human Resources, 12(1), pp. 115-125.
Newhouse, J.P. (1987) Cross-national differences in health spending: What do they mean? Journal of Health Economics, 6(2), pp. 159-162.
Parkin, D., McGuire, A. and Yule, B. (1987) Aggregate health care expenditures and national income: Is health care a luxury goods? Journal of Health Economics, 6(2), pp. 109-127.
Pattichis, C.A. (1999) Price and income elasticities of disaggregated import demand: results from UECMs and an application. Applied Economics, 31(9), pp. 1061-1071.
Pesaran, M.H. and Pesaran, B. (1997) Working with Microfit 4.0: Interactive Econometric Analysis. Oxford University Press, Oxford.
Pesaran, M.H., Shin, Y. and Smith, R.J. (2001) Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), pp. 289-326.
Phillips, P.C.B. (1986) Understanding spurious regression in econometrics. Journal of Econometrics, 33(3), pp. 311-340.
Phillips, P.C.B. and Perron, P. (1988) Testing for a unit root in time series regression. Biometrika, 75(2), pp. 335-346.
Rambaldi, A.N. and Doran, H.E. (1996) Testing for Granger non-causality in cointegrated system made easy. Working Paper in Econometrics and Applied Statistics, No. 88, Department of Econometrics, The University of New England.
Ramesh, M. and Asher, M. (2000) Welfare Capitalism in Southeast Asia: Social Security, Health, and Education Policies in Indonesia, Malaysia, the Philippines, Singapore and Thailand. Basingstoke: Macmillan.
Ramesh, M. and Wu, X. (2008) Realigning public and private health care in Southeast Asia. The Pacific Review, 21(2), pp. 171-187.
Reimers, H.E. (1992) Comparison of tests for multivariate cointegration. Statistical Papers, 33(1), pp. 335-359.
Samudram, M., Nair, M. and Vaithilingam, S. (2009) Keynes and Wagner on government expenditures and economic development: The case of a developing economy. Empirical Economics, 36(3), pp. 697-712.
Schlitzer, G. (1995) Testing the stationarity of economic time series: Further Monte Carlo evidence. Ricerche Economiche, 49, pp. 125-144.
Solow, R. (2001) Applying growth theory across countries. World Bank Economic Review, 15(2), pp. 283-288.
Tang, C.F. (2008) Wagner’s law versus Keynesian hypothesis: New evidence from recursive regression-based causality approaches. ICFAI Journal of Public Finance, 6(4), pp. 29-38.
Tang, C.F. (2009) An examination of the government spending and economic growth nexus for Malaysia using the leveraged bootstrap simulation approach. Global Economic Review, 38(2), pp. 215-227.
Tang, C.F. and Evan Lau, P.H. (2008) Wagner versus Keynes hypotheses: Disaggregated public expenditure and income for Malaysia. In: Proceedings of the 3rd International Borneo Business Conference 2008, Kota Kinabalu, Sabah, Universiti Malaysia Sabah, pp. 286-296.
Thornton, D.L. and Batten, D.S. (1985) Lag-length selection and tests of Granger causality between money and income. Journal of Money, Credit and Banking, 17(2), pp. 164-178.
Toda, H.Y. and Yamamoto, T. (1995) Statistical inference in vector autoregressions with possibly integrated process. Journal of Econometrics, 66(1), pp. 225-250.
Turner, P. (2006) Response surfaces for an F-test for cointegration, Applied Economics Letters, 13(8), pp. 479-482.
Wang, Z.J. and Rettenmaier, A.J. (2007) A note on cointegration of health expenditures and income. Health Economics, 16(6), pp. 559-578.
Xu, Z. (1996) On the causality between export growth and GDP growth: An empirical re-investigation. Review of International Economics, 4(2), pp. 172-184.
Yamada, H. and Toda, H.Y. (1998) Inference in possibly integrated vector autoregressive models: Some finite sample evidence. Journal of Econometrics, 86(1), pp. 55-95.
Zapata, H.O. and Rambaldi, A.N. (1997) Monte Carlo evidence on cointegrating and causation. Oxford Bulletin of Economics and Statistics, 59, pp. 285-298.
Available Versions of this Item
The determinants of health expenditure in Malaysia: A time series analysis. (deposited 11. Aug 2010 15:45)
- Multivariate Granger causality and the dynamic relationship between health spending, income, and health price in Malaysia. (deposited 07. Dec 2010 20:28)