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The absolute health income hypothesis revisited: A Semiparametric Quantile Regression Approach

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  • Thanasis Stengos

    ()
    (University of Guelph, Canada and The Rimini Centre for Economics Analysis, Rimini, Italy.)

  • Yiguo Sun

    ()
    (University of Guelph, Canada)

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. The “absolute income hypothesis” is partially true; the negative aging effects appear more pronounced for the illhealthy population than for the healthy population and when annual income is below 40,000 Canadian dollars.

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Bibliographic Info

Paper provided by The Rimini Centre for Economic Analysis in its series Working Paper Series with number 23-07.

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Date of creation: Jul 2007
Date of revision: Jul 2007
Handle: RePEc:rim:rimwps:23-07

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Keywords: Absolute income hypothesis · Partially linear quantile;

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References

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Cited by:
  1. Thanasis Stengos & Ximing Wu, 2010. "Information-Theoretic Distribution Test with Application to Normality," Econometric Reviews, Taylor & Francis Journals, vol. 29(3), pages 307-329.
  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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