Estimating the future health care cost of population aging in South Africa

References

• Acemoglu, D, Finkelstein, A & Notowidigdo, M, 2013. Income and health spending: evidence from oil price shocks. The Review of Economics and Statistics 95, 1079–1095.
   Google Scholar
• Alli, F & Maharaj, P, 2013. The health situation of older people in Africa. In Maharaj, P (Ed.), Aging and health in Africa (pp. 53–89). Springer Science and Business Media, New York.
   Google Scholar
• Beard, J, Kalache, A, Delgado, M & Hill, T, 2011. Ageing and urbanization. In Beard, JR, Biggs, S, Bloom, DE, Fried, LP, Hogan, P, Kalache, A & Olshansky, SJ (Eds.), Global population ageing: Peril or promise. World Economic Forum, Geneva.
   Google Scholar
• Blecher, M, Kollipara, A, Mansvelder, A, Daven, J, Maharaj, Y & Gaarenkwe, O, 2017. Health spending at a time of low economic growth and fiscal constraints in South African health review. In: Padarath A, Barron P, editors. Retrieved from health system Trust: http://www.hst.org.za/publications/south-african-health-review-2017.
   Google Scholar
• Breyer, F, Costa-Font, J & Felder, S, 2010. Ageing, health, and health care. Oxford Review of Economic Policy 26(4), 674–690. doi: 10.1093/oxrep/grq032
   Web of Science ®Google Scholar
• Buchner, F & Wasem, J, 2006. Steeping of health expenditure profiles. The International Association for the Study of Insurance Economics 31, 581–599.
   Google Scholar
• Colombier, C & Weber, W, 2009. Projecting health-care expenditure for Switzerland: further evidence against the “red herring” hypothesis. International Journal of Health-Planning and Management 26(3), 246–263.
   Web of Science ®Google Scholar
• Coovadia, H, Jewkes, R, Barron, P, Sanders, D & McIntyre, D, 2009. The health and health system of South Africa: historical roots of current public health challenges. The Lancet 374, 817–834. doi: 10.1016/S0140-6736(09)60951-X
   PubMed Web of Science ®Google Scholar
• Dormont, B, Grignon, M & Huber, H, 2006. Health expenditure growth: Reassessing the threat of ageing. Health Economics 15(9), 947–963. doi: 10.1002/hec.1165
   PubMed Web of Science ®Google Scholar
• Engle, RF & Granger, CWJ, 1987. Co-integration and error correction: representation, estimation, and testing. Econometrica 55(2), 251–276.
   Google Scholar
• Felder, S & Werblow, A, 2008. Does the age profile of health care expenditure really steepen over time? New evidence from Swiss cantons. The International Association for the Study of Insurance Economics 33, 710–727.
   Google Scholar
• Felder, S, Meier, M & Schmitt, H, 2000. Health care expenditure in the last six months of life. Journal of Health Economics 19, 679–695. doi: 10.1016/S0167-6296(00)00039-4
   PubMed Web of Science ®Google Scholar
• Gregersen, FA & Godager, G, 2013. Hospital expenditure and the red herring hypothesis: Evidence from a complete national registry. Health Economics Research Programme at the University of Oslo, Oslo.
   Google Scholar
• Gregersen, FA, 2013. The impact of ageing on health care expenditures: a study of steepening. The European Journal of Health Economics 15, 979–989. doi: 10.1007/s10198-013-0541-9
   PubMed Web of Science ®Google Scholar
• Hashimoto, K & Tabata, K, 2010. Population aging, health care and growth. Journal of Population Economics 23, 571–593. doi: 10.1007/s00148-008-0216-5
   Web of Science ®Google Scholar
• Johansen, S. 1991. Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica 59, 1551–1580.
   Google Scholar
• Johansen, S. 1995. Likelihood-based inference in cointegrated vector autoregressive models. Oxford University Press, New York.
   Google Scholar
• Karlsson, M & Klohn, F, 2014. Testing the red herring hypothesis on an aggregated level: ageing,time-to-death and care costs for older people in Sweden. The European Journal of Health Economics 15(5), 533–551.
   Google Scholar
• Lopreite, M & Mauro, M, 2017. The effects of population ageing on health care expenditure: A Bayesian VAR analysis using data from Italy. Health Policy 121(6), 663–674. doi: 10.1016/j.healthpol.2017.03.015
   PubMed Web of Science ®Google Scholar
• Maharaj, P, 2013. Aging and health in Africa. Springer Science, New York.
   Google Scholar
• Mortimer, J & Green, M, 2015. Briefing: the health and care of older people in England 2015. London: Age UK. www.ageuk.org.uk/professional-resources-home/research/reports/care-andsupport/the-health-and-care-of-older-people-in-england-2015/. Accessed 13 June 2019.
   Google Scholar
• Murthy, VNR & Okunade, A, 2009. The core determinants of health expenditure in the African context: Some econometric evidence for policy. Health Policy 91(1), 57–62. doi: 10.1016/j.healthpol.2008.10.001
   PubMed Web of Science ®Google Scholar
• Murthy, VNR & Okunade, AA, 2016. The determinants of US health expenditure: Evidence from autoregressive distributed lad (ARDL) approach to cointegration. Economic Modelling 59, 67–73. doi: 10.1016/j.econmod.2016.07.001
   Web of Science ®Google Scholar
• Nabalamba, A & Chikoko, M, 2011. Aging population challenges in Africa. Africa Development Bank 1(1), 1–19.
   Google Scholar
• Narayan, PK, 2005, The saving and investment nexus for China: evidence from cointegration tests. Applied Economics 37, 1979-1990.
   Google Scholar
• National Treasury, 2017. Medium term expenditure framework – chapter 5, consolidated spending plans. National Treasury, Pretoria.
   Google Scholar
• Nkoro, E & Uko, AK, 2016. Autoregressive Distributed Lag (ARDL) cointegration technique: application and interpretation. Journal of Statistics and Econometric Methods 5(4), 63–91.
   Google Scholar
• OECD, 2017. OECD health indicators. Retrieved from OECD: http://www.oecd.org/healthstat/life-expectancy-at-birth.htm.
   Google Scholar
• Okunade, AA & Murthy, VNR, 2002. Technology as a “major driver” of health care cost: a cointegration analysis of the Newhouse conjecture. Journal of Health Economics 21, 147–159.
   Google Scholar
• Peasaran, MH & Shin, Y, 1997. An autoregressive distributed lag modelling approach to cointegration analysis. Department of Applied Economis, University of Cambridge, Cambridge.
   Google Scholar
• Pesaran, MH & Shin, Y, 1999. An autoregressive distributed lad modelling approach to cointegration analysis. Chapter 11 in Strom (ed.), Econometrics and economic theory in the 20th Century: The Ragnar Frisch Centennial symposium (Discussion paper). Cambridge University Press.
   Google Scholar
• Pesaran, MH, Shin, Y & Smith, RJ, 2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics 16, 289–326. doi: 10.1002/jae.616
   Web of Science ®Google Scholar
• Rispeli, L, 2016. Analysing the progress and fault lines of health sector transformation in South Africa in the “South African Health Review”. Retrieved from Health Systems Trust: http://www.hst.org.za/publications/south-african-health-review-2016.
   Google Scholar
• Sbia, R, Shahbaz, M & Hamdi, H, 2014. A contribution of foreign direct investment, clean energy, trade openness, carbon emissions and economic growth to energy demand in UAE. Economic Modelling 36, 191-197.
   Google Scholar
• Shang, B & Goldman, D, 2007. Does age or life expectancy better predict health care expenditures? Health Economics 17(4), 487–501.
   Web of Science ®Google Scholar
• Statistics South Africa, 2014. Census 2011: Profile of older persons in South Africa. Statistics South Africa, Pretoria.
   Google Scholar
• Statistics South Africa, 2016. Mid-year population estimates. Statistics South Africa, Pretoria.
   Google Scholar
• Statistics South Africa, 2017. Mid-year population estimates. Statistics South Africa, Pretoria.
   Google Scholar
• The South African Health News Service, (2014). South Africa celebrates 10 years of free HIV treatment. Retrieved from Health E-News: https://www.health-e.org.za/2014/04/04/south-africa-celebrates-ten-years-free-hiv-treatment/.
   Google Scholar
• Zhang, L, 2013. Income growth and technology advance: The evolution of the income elasticity of health expenditure. Working Paper. University of Oslo, 1–42.
   Google Scholar
• Zweifel, P, Felder, S & Werblow, A, 2004. Population ageing and health care expenditure: New evidence on the “red herring”. Health Economics 29(4), 652–666.
   Google Scholar
• Zweifel, P, Felder, S & Werblow, A, 2007. Population ageing and health care expenditure: a school of ‘red herrings’? Health Economics 16(10), 1109–26. doi: 10.1002/hec.1213
   PubMed Web of Science ®Google Scholar
• Zweifel, P, Felder, S & Meiers, M, 1999. Ageing of population and health care expenditure: A red herring. Health Economics 8(6), 485–496. doi: 10.1002/(SICI)1099-1050(199909)8:6<485::AID-HEC461>3.0.CO;2-4
   PubMed Web of Science ®Google Scholar