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

Author

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  • Ana Poças

    (Polytechnic Institute of Guarda)

  • Elias Soukiazis

    (Faculty of Economics University of Coimbra and GEMF)

Abstract

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.

Suggested Citation

  • Ana Poças & Elias Soukiazis, 2010. "Health Status Determinants in the OECD Countries. A Panel Data Approach with Endogenous Regressors," GEMF Working Papers 2010-04, GEMF, Faculty of Economics, University of Coimbra.
    • Handle: RePEc:gmf:wpaper:2010-04
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    References listed on IDEAS

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    1. 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 26 Jun 2020.
    2. Jaume Puig-Junoy, 1998. "Measuring health production performance in the OECD," Applied Economics Letters, Taylor & Francis Journals, vol. 5(4), pages 255-259.
    3. 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, August.
    4. 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 - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    5. David M. Cutler & Adriana Lleras-Muney, 2006. "Education and Health: Evaluating Theories and Evidence," NBER Working Papers 12352, National Bureau of Economic Research, Inc.
    6. 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.
    7. Elias Soukiazis & Túlio Cravo, 2008. "Human Capital and the Convergence Process Among Countries," Review of Development Economics, Wiley Blackwell, vol. 12(1), pages 124-142, February.
    8. John Nixon & Philippe Ulmann, 2006. "The relationship between health care expenditure and health outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(1), pages 7-18, March.
    9. Howard Oxley, 2009. "Policies for Healthy Ageing: An Overview," OECD Health Working Papers 42, OECD Publishing.
    10. 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.
    11. David M. Drukker, 2003. "Testing for serial correlation in linear panel-data models," Stata Journal, StataCorp LP, vol. 3(2), pages 168-177, June.
    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. Ms. Victoria Gunnarsson & Stéphane Carcillo & Marijn Verhoeven, 2007. "Education and Health in G7 Countries: Achieving Better Outcomes with Less Spending," IMF Working Papers 2007/263, International Monetary Fund.
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    Cited by:

    1. Maria Lacko, 2011. "The Poor Health Status of the Hungarians; Comparative Macro-Analysis of the Likely Explanatory Factors on Hungarian and Austrian Data, 1960-2004," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 3, pages 1-21, September.
    2. Nádia Simões & Nuno Crespo & Sandrina B. Moreira & Celeste A. Varum, 2016. "Measurement and determinants of health poverty and richness: evidence from Portugal," Empirical Economics, Springer, vol. 50(4), pages 1331-1358, June.
    3. Ciorbagiu Ioana & Stoica Adrian, 2020. "The Importance Of Affective And Cognitive Dimensions Of Happiness - Analysis In European Countries," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 138-148, December.
    4. Ana Poças & Elias Soukiazis & Micaela Antunes, 2020. "Factors Explaining Life Expectancy at Age 65: A Panel Data Approach Applied to European Union Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 265-288, July.
    5. Lackó, Mária, 2010. "A magyarországi rossz egészségi állapot lehetséges magyarázó tényezői. Összehasonlító makroelemzés magyar és osztrák adatok alapján, 1960-2004 [The poor health status of Hungarians: a comparative m," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 753-778.

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    More about this item

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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