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

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  • Ana Pocas
  • Elias Soukiazis

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 expectancy life 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 efficiency of health resources of the health system 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 man's health while for women education and better use of health services (through consultations) explain mostly life expectancy both at birth and late age.

Suggested Citation

  • Ana Pocas & Elias Soukiazis, 2011. "Health Status Determinants in the OECD Countries. A Panel Data Approach with Endogenous Regressors," ERSA conference papers ersa10p749, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa10p749
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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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