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

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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.

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Bibliographic Info

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. 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 24 Jul 2012.
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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 onHungarian and Austrian Data, 1960-2004," IEHAS Discussion Papers 1106, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
  2. Nádia Simões & Nuno Crespo & Sandrina B. Moreira & Celeste A. Varum, 2013. "Measurement and Determinants of Health Poverty and Richness – Evidence from Portugal," Working Papers Series 2 13-08, ISCTE-IUL, Business Research Unit (BRU-IUL).

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