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What determines public health expenditures in Pakistan? Role of income, urbanization and unemployment

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Abstract

What determines public health care expenditures at the national level is an important policy question. Since the pioneering work of Newhouse (J Hum Resour 12(1):115–125, 1977) on the relationship between health expenditures and national income, this area of economic inquiry has received much attention. This paper seeks an answer to this question by estimating the factors affecting public health expenditures at the national level in Pakistan. This paper uses annual time series data from 1972 to 2009 and employing unit root and Johansen cointegration methods estimated the determinants of public health expenditures. It is estimated that all variables are integrated of order one and are cointegrated hence in a long run relationship. The income elasticity of public health care expenditures is estimated below unity (at 0.26) indicating health care is a necessity in Pakistan contrary to most of the industrialized countries. Furthermore, it is imperative that government have a larger role in allocating and directing public resources to health care in Pakistan. Urbanization and unemployment variables have elasticity values of −1.33 and −0.37 respectively, implying that it is costly to provide health care to residents of remote rural areas of Pakistan.

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Notes

  1. Contrary to Newhouse (1977) some micro studies, including Grossman (1972), Murinnen (1982) and Wagstaff (1986) observe a slight correlation between income and health care utilization. Because individuals are mostly subsidized and/or they don’t have to pay the full price of using health care resources that is not true for a whole country.

  2. The impact of unemployment on health status is explored among others by Brenner (1987), Gravelle et al. (1981), Joyce and Mocan (1993) and with contrary results. No single attempt, to the best of our knowledge, made to model unemployment as factor affecting per capita health expenditures.

  3. As, most of the modeling in health economics is ad hoc, therefore, studies that followed empirical approach to find evidence of the factors affecting health expenditures have no reliance on theory.

  4. For detail discussion of health care markets and their imperfect behavior see among others; Jack (1999) and Schultz (2004).

  5. Studies that used OECD or other developed countries data mostly used population of age greater than 65 years as a demographic factor (see for example; Hitiris and Posnett 1992; Hansen and King 1996 and Karatsaz 2000).

  6. We make use of only public health care expenditures, as data for private health care expenditures at national level for Pakistan (annual time series) is not available.

  7. The results of up to two lags are presented for all the variables used for analysis (ADF unit root test) including constant and without constant and trend.

  8. The test of stationarity for residual term regress its lagged value on its own without intercept or trend because it is an error term.

  9. We have only estimated income elasticity for public health care expenditures while other mentioned studies used both public and private health care expenditures. This might be one reason for the low income elasticity estimate for Pakistan.

  10. Income distribution in Pakistan is skewed with high poverty levels; hence pose a downward effect on income elasticity of public health care expenditures.

  11. Zaidi (1988) explained that almost eighty percent of the public health expenditures go to urban areas.

  12. Epidemiological transition is used to be thought that—the shift from infectious and deficiency diseases to chronic non communicable diseases—was a unidirectional process, beginning when infectious diseases were predominant and ending when non communicable diseases dominated the causes of death (Omran 1971).

References

  • ADB. (2005) Key indicators 2005, Asian Development Bank, (Manila Philippine)

  • Adegbola O (1987) The impact of urbanization and industrialization on health conditions: the case of Nigeria. World Health Stat Q 40(1):74–83

    Google Scholar 

  • Asteriou D (2006) Applied econometrics: a modern approach using E-views and microfit. Palgrave McMillan, New York

    Google Scholar 

  • Barros PP (1998) The black box of health care expenditure growth determinants. Health Econ 7(6):533–544

    Article  Google Scholar 

  • Blomqvist AG, Carter RAL (1997) Is health care really a luxury? J Health Econ 16:207–229

    Article  Google Scholar 

  • Brenner MH (1987) Economic instability, unemployment rates, behavioural risks and mortality rates in Scotland, 1952–1983. Int J Health Serv 17:475–487

    Google Scholar 

  • Campos J, Ericsson NR, Hendry DF (2005) General to specific modeling: an overview and selected bibliography, Board of governors of the Federal Reserve System International Finance discussion paper number 838. http://www.federalreserve.gov/pubs/ifdp/2005/838/ifdp838.pdf

  • Culyer AJ (1990) Cost Containment in Europe, in: OECD 1990, Health care systems in transition (OECD, Paris), pp 29–40

  • Cumper GE (1984) Determinants of health level in developing countries, Research, studies press Ltd. Letch worth, UK

    Google Scholar 

  • Cutler DM (1995) The cost and financing of health care. Am Econ Rev Pap Proc 85(2):32–37

    Google Scholar 

  • Dickey DA, Fuller WA (1981) Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49(4):1057–1072

    Article  Google Scholar 

  • Dickey DA, Pantula SG (1987) Determining the order of differencing in autoregressive processes. J Bus Econ Stat 5(4):455–461

    Google Scholar 

  • Dickey DA, Bell WR, Miller RB (1986) Unit root in time series models: tests and implications. Am Statist 40(1):12–26

    Google Scholar 

  • Elliott G, Rothenberg TJ, Stock JH (1996) Efficient tests for an autoregressive unit root. Econometrica 64(4):813–836

    Article  Google Scholar 

  • Engle RF, Granger CW (1987) Co-integration and error correction: presentation, estimation and testing. Econometrica 55(2):251–276

    Article  Google Scholar 

  • Engle RF, Granger CWJ (1991) Long run economic relationship: readings in cointegration. OUP, Oxford

    Google Scholar 

  • Font CJ, Gemmill M, Rubert G (2009) Re-visiting the health care luxury good hypothesis: aggregation, precision and publication biases? Health, Econometrics and Data Group (HEDG) working paper 09/02, The University of York, UK. http://www.york.ac.uk/res/herc/documents/wp/09_02.pdf

  • Gbesemete KP, Gerdtham UG (1992) Determinants of health care expenditures in Africa: a cross sectional study. World Dev 20(2):303–308

    Article  Google Scholar 

  • Gerdtham UG, Jönsson B (2000) International comparisons of health expenditure. In: Culyer AJ, Newhouse JP (eds) Handbook of health economics. North-Holland, The Netherlands, pp 11–53

    Google Scholar 

  • GOP (2005) Pakistan Economic Survey 2004–05, Finance Division, Economic Adviser’s Wing, Ministry of Finance, Islamabad, Pakistan

  • GOP (2006) Pakistan Economic survey 2005–06, Finance Division, Economic Advisor’s wing, Ministry of Finance, Islamabad, Pakistan

  • GOP (2010) Pakistan Economic Survey 2009–10, Finance Division, Economic Adviser’s Wing, Ministry of Finance, Islamabad, Pakistan

  • Gravelle H, Hutchinson C, Stern J (1981) Mortality and unemployment: a critique of Brenner’s time-series analysis. Lancet 2:675–679

    Google Scholar 

  • Greene WH (2000) Econometric analysis, 4th edn. Prentice-Hall, International, London, New Jersey

    Google Scholar 

  • Grossman M (1972) The demand for health. National Bureau of Economic Research (NBER), New York

    Google Scholar 

  • Gugler J, Flanagan WG (1978) Urbanization and social change in West Africa. Cambridge University Press, Cambridge

    Google Scholar 

  • Hamoudi AA, Sachs JD (1999) Economic consequences of health status: a review of evidence. Centre for International Development (CID) working paper no. 30, Harvard University

  • Hansen H, Juselius K (1995) Cats in rats: cointegration analysis of time series. Evanston, Illinois

    Google Scholar 

  • Hansen P, King A (1996) The determinants of health care expenditure: a co-integration approach. J Health Econ 15(1):127–137

    Article  Google Scholar 

  • Harris R, Sollis R (2003) Applied time series modeling and forecasting. Wiley, Hoboken

    Google Scholar 

  • Hendry DF (1980) Econometrics-alchemy or science? Economica 47(188):387–406

    Article  Google Scholar 

  • Hendry DF (1984) Monte Carlo experimentation in econometrics. In: Griliches Z, Intriligator MD (eds) Handbook of econometrics, vol 2–3, Chap 16. North-Holland, Amsterdam

    Google Scholar 

  • Hendry DF (2004) Causality and exogeneity in non-stationary economic time series, Economics department Nuffield College, University of Oxford

  • Hitiris T, Posnett J (1992) The determinants and effects of health expenditure in developed countries. J Health Econ 11:173–181

    Article  Google Scholar 

  • Holden D, Perman R (1994) Unit roots and cointegration for the economist. In: Rao BB (ed) Cointegration for the applied economist. St. Martin’s Press, New York

    Google Scholar 

  • Hussain A (1999) Employment generation, poverty alleviation and growth in Pakistan’s rural sector: policies for institutional change, report prepared for the International Labor Organization, country employment policy review, Pakistan, ILO/CEPR

  • Jack W (1999) Principles of health economics in developing countries. World Bank Institute, Washington

    Google Scholar 

  • Johansen S (1988) Statistical analysis of cointegrating vectors. J Econ Dyn Control 12(2–3):231–254

    Article  Google Scholar 

  • Johansen S, Juselius K (1990) Maximum likelihood estimation and inference on cointegration—with application to the demand for money. Oxf Bull Econ Stat 52(2):169–210

    Article  Google Scholar 

  • Joyce T, Mocan N (1993) Unemployment and infant health: time series evidence from the the state of Tennessee. J Human Resour 28(1):185–203

    Google Scholar 

  • Judge K, Mulligan J, Benzeval M (1998) Income inequality and population health. Soc Sci Med 46(4–5):567–579

    Article  Google Scholar 

  • Karatsaz G (2000) On the determination of the US aggregate health care expenditure. Appl Econ 32(9):1085–1099

    Article  Google Scholar 

  • Leu R (1986) The public-private mix and international health care costs. In: Culyer AJ, Jonsson B (eds) Public and private health services. Basil Blackwell, Oxford

    Google Scholar 

  • MacKinnon JG (1991) Critical values for cointegration tests In: Engle RF, Granger CWJ (eds) Long run economic relationships: readings in cointegration, Oxford University Press, Oxford, UK

  • Maddala GS (1992) Introduction to econometrics, 2nd edn. McMillan Publication, New York

    Google Scholar 

  • McGuire A, Parkin D, Hughes D, Gerard K (1993) Econometric analysis of national health expenditures: can positive economics help to answer normative questions? Health Econ 2(2):113–126

    Article  Google Scholar 

  • Murinnen JM (1982) Demand for health: a generalized Grossman model. J Health Econ 1(1):5–28

    Article  Google Scholar 

  • Murthy NRV, Okunade AA (2000) Managed care, deficit financing and aggregate health care expenditure in the United States: a cointegration analysis. Health Care Manag Sci 3(4):279–285

    Article  Google Scholar 

  • Murthy NRV, Ukpolo V (1994) Aggregate health care expenditure in the United States: evidence from cointegration tests. Appl Econ 26(8):797–802

    Article  Google Scholar 

  • Newhouse J (1977) Medical care expenditure: a cross-national survey. J Hum Resour 12(1):115–125

    Article  Google Scholar 

  • Ng S, Perron P (1997) Estimation and inference in nearly unbalanced nearly cointegrated systems. J Econ 79(1):53–81

    Google Scholar 

  • Nkrumah FK (1973) Severe anemia associated with malaria in children. Ghana Med J 12(1):17–21

    Google Scholar 

  • Okunade AA, Karakus CM (2001) Unit root and cointegration tests: time series versus panel estimates for international health expenditure models. Appl Econ 33(9):1131–1137

    Google Scholar 

  • Okunade AA, Murthy VNR (2002) Technology as a ‘major driver’ of health care costs: a cointegration analysis of the Newhouse conjecture. J Health Econ 21(1):147–159

    Google Scholar 

  • Omran AR (1971) The epidemiological transition theory: a theory of epidemiology of population change. Milbank Meml Fund Q 49(4):509–538

    Article  Google Scholar 

  • Parkin DW, McGuire AJ, Yule BF (1987) Aggregate health care expenditures and National incomes: is health care a luxury good? J Health Econ 6(2):109–127

    Article  Google Scholar 

  • Parkin DW, McGuire AJ, Yule BF (1989) What do international comparisons of health care expenditures really show? J Public Health 11(2):116–123

    Google Scholar 

  • Philips PCB (1986) Understanding spurious regressions in econometrics. J Econ 33(3):311–340

    Google Scholar 

  • Phillips PCB, Perron P (1988) Testing for a unit root in time series regression. Biometrika 75(2):335–346

    Google Scholar 

  • Said SE, Dickey DA (1984) Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika 71(3):599–607

    Article  Google Scholar 

  • Schultz TP (2004) Health economics and application in developing countries. J Health Econ 23(4):637–641

    Article  Google Scholar 

  • Schwert GW (1989) Tests for unit roots: a Monte Carlo investigation. J Bus Econ Stat 7:147–160

    Google Scholar 

  • Seddighi H, Lawler KA, Katos AV (2000) Econometrics: a practical approach, 1st edn. Routledge, London

    Google Scholar 

  • Siddiqui R, Usman A, Rashida H (1995) Determinants of expenditure on health in Pakistan. Pakistan Dev Rev 34(4):959–970

    Google Scholar 

  • Sims CA (1980) Macroeconomics and reality. Econometrica 48(1):1–48

    Article  Google Scholar 

  • Toor IA, Butt MS (2005) Determinant of health care expenditures in Pakistan. Pakistan Econ Soc Rev 43(1):133–150

    Google Scholar 

  • Uddin F, Swati MA (2006) Pakistan’s economic journey: need for new paradigm. Institute of Policy studies, Islamabad

    Google Scholar 

  • UNFPA (2003) Pakistan population assessment report, country assessment report, United Nation population fund (UNFPA), Islamabad, Pakistan

  • Wagstaff A (1986) The demand for health: some new evidence. J Health Econ 5(3):195–233

    Article  Google Scholar 

  • Wolfe B (1986) Health status and medical care expenditures: is there a link? Soc Sci Med 22(10):993–999

    Article  Google Scholar 

  • World Bank (1993) World development report 1993, investing in health. Washington, World Bank

    Book  Google Scholar 

  • Zaidi SA (1988) The political economy of health care in Pakistan. Vanguard Books, Lahore

    Google Scholar 

  • Zaidi SA (1999) Issues in Pakistan’s economy, 1st edn. OUP, Karachi

    Google Scholar 

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Acknowledgments

We thank Arnab Basu, Joachim Von Braun, Seid Nuru Ali, Holger Seebens, Iram Khan and Nirmalya Chaudhary for their valuable comments and suggestions on various drafts of this paper. We extend our thanks to Abay Asfaw for reviewing and commenting the earlier draft of this paper. Also, we are grateful to the reviewers of this journal for valuable comments that improved the manuscript immensely. Thanks are also due to Erick Baur for his editorial assistance. For errors remaining usual disclaimer applies. This research was completed when first author was Junior Researcher at Centre for Development Research (ZEF). This is an extended version of the earlier work carried out at ZEF. This paper is a part of first Authors’ PhD research, thus, funding provided by German Academic Exchange Service (DAAD) thankfully acknowledged.

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Correspondence to Faisal Abbas.

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This paper also accepted as Centre for Development Research (ZEF) Discussion paper on development policy No. 158 in December 2011. This is a modified version of this discussion paper.

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Abbas, F., Hiemenz, U. What determines public health expenditures in Pakistan? Role of income, urbanization and unemployment. Econ Change Restruct 46, 341–362 (2013). https://doi.org/10.1007/s10644-012-9130-7

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