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Health Status Determinants in the OECD Countries. A Panel Data Approach with Endogenous Regressors

  • Ana Poças

    ()

    (Polytechnic Institute of Guarda)

  • Elias Soukiazis

    ()

    (Faculty of Economics University of Coimbra and GEMF)

The purpose of this study is to analyse the determinants of life expectancy as proxy for health status of the OECD countries‘ population. A production function of health is used to explain life expectancy at birth for total and ageing population and according to gender. Socio-economic factors, health resources and lifestyles are defined as the main determinants of heath status. The estimation approach assumes that income and education are endogenous and a panel data approach is used to control for this problem. Our evidence shows that income, education and health resources (through consultations) are important factors affecting positively life expectancy and risky lifestyles (tobacco and alcohol consumption) are harmful to health. However there are differences between males and females. Income and lifestyles are the major determinants affecting men‘s health while for women education and the effective use of health services (through consultations) explain mostly life expectancy both at birth and late age.

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File URL: http://gemf.fe.uc.pt/workingpapers/pdf/2010/gemf_2010-04.pdf
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Paper provided by GEMF - Faculdade de Economia, Universidade de Coimbra in its series GEMF Working Papers with number 2010-04.

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Length: 34 pages
Date of creation: Mar 2010
Date of revision:
Handle: RePEc:gmf:wpaper:2010-04
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  1. Jaume Puig-Junoy, 1998. "Measuring health production performance in the OECD," Applied Economics Letters, Taylor & Francis Journals, vol. 5(4), pages 255-259.
  2. Isabelle Joumard & Christophe André & Chantal Nicq & Olivier Chatal, 2008. "Health Status Determinants: Lifestyle, Environment, Health Care Resources and Efficiency," OECD Economics Department Working Papers 627, OECD Publishing.
  3. Or, Zeynep & Wang, Jia & Jamison, Dean, 2005. "International differences in the impact of doctors on health: a multilevel analysis of OECD countries," Journal of Health Economics, Elsevier, vol. 24(3), pages 531-560, May.
  4. David M. Cutler & Adriana Lleras-Muney, 2006. "Education and Health: Evaluating Theories and Evidence," NBER Working Papers 12352, National Bureau of Economic Research, Inc.
  5. Mark E Schaffer, 2005. "XTIVREG2: Stata module to perform extended IV/2SLS, GMM and AC/HAC, LIML and k-class regression for panel data models," Statistical Software Components S456501, Boston College Department of Economics, revised 22 Feb 2015.
  6. Victoria Gunnarsson & Stéphane Carcillo & Marijn Verhoeven, 2007. "Education and Health in G7 Countries; Achieving Better Outcomes with Less Spending," IMF Working Papers 07/263, International Monetary Fund.
  7. David M. Drukker, 2003. "Testing for serial correlation in linear panel-data models," Stata Journal, StataCorp LP, vol. 3(2), pages 168-177, June.
  8. Howard Oxley, 2009. "Policies for Healthy Ageing: An Overview," OECD Health Working Papers 42, OECD Publishing.
  9. Olga Kiuila & Peter Mieszkowski, 2007. "The effects of income, education and age on health," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 781-798.
  10. António Afonso & Miguel St. Aubyn, 2006. "Relative Efficiency of Health Provision: a DEA Approach with Non-discretionary Inputs," Working Papers Department of Economics 2006/33, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
  11. Elias Soukiazis & T�lio Cravo, 2008. "Human Capital and the Convergence Process Among Countries," Review of Development Economics, Wiley Blackwell, vol. 12(1), pages 124-142, 02.
  12. Joann Wilkie & Adam Young, 2009. "Why health matters for economic performance," Economic Roundup, The Treasury, Australian Government, issue 1, pages 57-72, March.
  13. John Nixon & Philippe Ulmann, 2006. "The relationship between health care expenditure and health outcomes," The European Journal of Health Economics, Springer, vol. 7(1), pages 7-18, March.
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