Abstract
Using a world sample of countries, this paper re-examines the U-shaped relationship between per capita GDP (wealth) and life expectancy at birth (health). Since cross-sectional dependence across countries is detected, second-generation panel unit root and cointegration tests are employed. All the variables are found to be integrated in one order as well as cointegrated. Various quadratic specifications are also employed and the hypothesis is confirmed.
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References
Acemoglu, D., & Johnson, S. (2007). Disease and development: the effect of life expectancy on economic growth. Journal of Political Economy, 115(6), 925–985.
Aghion, P., Howitt, P. & Murtin, F. (2010). “The relationship between health and growth: When Lucas meets Nelson–Phelps,” NBER Working Paper 1581. Online at: http://www.ofce.sciences-po.fr/pdf/dtravail/WP2009-28.pdf.
Bloom, D.E., Canning, D. & Fink G. (2009). “Disease and development revisited,” NBER Working Paper No. 15137. Online at: http://www.nber.org/papers/w15137.pdf.
Cervellati, M., & Sunde, U. (2011). Life expectancy and economic growth: the role of the demographic transition. Journal of Economic Growth, 16(2), 99–133.
Greene, W. H. (1993). Econometric analysis (2nd ed.). New York: Macmillan Publishing Company.
Hadri, K., & Kurozumi, E. (2012). A simple panel stationarity tests in the presence of cross-sectional dependence. Economics Letters, 115(1), 31–34.
Hansen, C. W. (2012). The relation between wealth and health: evidence from a world panel of countries. Economics Letters, 115(2), 175–176.
Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1272.
Karlsson, S., & Löthgren, M. (2000). On the power and interpretation of panel unit root tests. Economics Letters, 66(3), 249–255.
Kwiatkowski, D., Phillips, P., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of unit root. Journal of Econometrics, 54(1–3), 159–178.
Narayan, P. K., & Popp, S. (2010). A new unit root test with two structural breaks in level and slope at unknown time. Journal of Applied Statistics, 37(9), 1425–1438.
Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. The Review of Economics and Statistics, 83(4), 727–731.
Pesaran, M.H. (2004). “General diagnostic tests for cross section dependence in panels.” Cambridge Working Papers in Economics, 0435, Online at: http://www.econ.cam.ac.uk/faculty/pesaran/CDtestPesaranJune04.pdf.
Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312.
Prais, S.J. & Winsten C.B. (1954). “Trend Estimation and Serial Correlation.” Cowles Commission Discussion Paper No. 383, Chicago.
Romero-Ávila, D. (2008). A confirmatory analysis of the unit root hypothesis for OECD consumption income ratios. Applied Economics, 40(17), 2271–2278.
StataCorp. (2007). Stata Statistical Software: Release 10. College Station: StataCorp LP.
Turan, B. (2009). “Life Expectancy and economic development: Evidence from micro data.” Working Paper. Online at: http://www.uh.edu/~bkturan/lifeexpec.pdf.
Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748.
Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data. Cambridge: MIT Press.
Zhang, J., & Zhang, J. (2005). The effect of life expectancy on fertility, saving, schooling and economic growth: theory and evidence. Scandinavian Journal of Economics, 107(1), 45–66.
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I would like to express my sincere thanks to Thomas F. Rutherford and Massimo Filippini, John Virgo and an anonymous referee for their comments on an earlier version of this paper. Errors, if any, are the author’s own only.
Appendix
Appendix
List of countries: Algeria, Argentina, Australia, Austria, Bahamas, Bangladesh, Barbados, Belgium, Belize, Benin, Bolivia, Botswana, Brazil, Burkina Faso, Burundi, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo DR., Congo Rep., Costa Rica, Cote d’Ivoire, Denmark, Dominican Rep., Ecuador, Egypt, Arab Rep., El Salvador, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Guatemala, Guinea-Bissau, Guyana, Honduras, Hong Kong, China, Hungary, Iceland, India, Indonesia, Iran Islamic Rep., Ireland, Israel, Italy, Jamaica, Japan, Kenya, Korea Rep., Latvia, Lesotho, Liberia, Luxembourg, Madagascar, Malawi, Malaysia, Mali, Malta, Mauritania, Mexico, Morocco, Nepal, Netherlands, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Portugal, Rwanda, Saudi Arabia, Senegal, Sierra Leone, Singapore, South Africa, Spain, Sri Lanka, St. Vincent and the Grenadines, Sudan, Swaziland, Sweden, Syrian Arab Rep., Thailand, Togo, Trinidad and Tobago, Tunisia, Turkey, United Kingdom, United States, Uruguay, Venezuela, Zambia, Zimbabwe.
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Jaunky, V.C. The Wealth-Health Nexus: New Global Evidence. Atl Econ J 41, 115–122 (2013). https://doi.org/10.1007/s11293-012-9347-x
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DOI: https://doi.org/10.1007/s11293-012-9347-x