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The Absolute Health Income Hypothesis Revisited : A Semiparametric Quantile Regression Approach

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  • Thanasis Stengos
  • Yiguo Sun

Abstract

This paper uses the 1998-99 Canadian National Population Health Survey (NPHS) data to examine the health-income relationship that underlies the absolute income hypothesis. To allow for nonlinearity and data heterogeneity, we use a partially linear semiparametric quantile regression model. Among more than dozen of socioeconomic variables, we find that family income, age and the food security status are the most important factors in explaining an individual's overall functional health. The "absolute income hypothesis" is partially true; the negative aging effects appear more pronounced for the ill-healthy population than for the healthy population and when annual income is below 40,000 Canadian dollars.

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File URL: http://papers.econ.ucy.ac.cy/RePEc/papers/8-2005.pdf
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Bibliographic Info

Paper provided by University of Cyprus Department of Economics in its series University of Cyprus Working Papers in Economics with number 7-2005.

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Length: 30 pages
Date of creation: Oct 2005
Date of revision:
Handle: RePEc:ucy:cypeua:7-2005

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Web page: http://www.econ.ucy.ac.cy

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Cited by:
  1. Thanasis Stengos & Ximing Wu, 2006. "Information-Theoretic Distribution Test with Application to Normality," University of Cyprus Working Papers in Economics 3-2006, University of Cyprus Department of Economics.
  2. Ignacio Moral-Arce & Stefan Sperlich & Ana Fernández-Saínz & Maria Roca, 2012. "Trends in the Gender Pay Gap in Spain: A Semiparametric Analysis," Journal of Labor Research, Springer, vol. 33(2), pages 173-195, June.

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