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

Author

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  • Yiguo Sun

    (University of Guelph, Canada)

  • Thanasis Stengos

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

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 ill-healthy population than for the healthy population and when annual income is below 40,000 Canadian dollars.

Suggested Citation

  • Yiguo Sun & Thanasis Stengos, 2007. "The absolute health income hypothesis revisited: A Semiparametric Quantile Regression Approach," Working Paper series 23_07, Rimini Centre for Economic Analysis.
    • Handle: RePEc:rim:rimwps:23_07
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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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    More about this item

    Keywords

    Absolute income hypothesis; Partially linear quantile regression model;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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