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

Thanasis Stengos and Yiguo Sun

No 606, Working Papers from University of Guelph, Department of Economics and Finance

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.

JEL-codes: C14 C51 I12 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2006
New Economics Papers: this item is included in nep-hea
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Journal Article: The absolute health income hypothesis revisited: a semiparametric quantile regression approach (2008)
Working Paper: The absolute health income hypothesis revisited: A Semiparametric Quantile Regression Approach (2007)
Working Paper: The Absolute Health Income Hypothesis Revisited: A Semiparametric Quantile Regression Approach (2005)
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Persistent link: https://EconPapers.repec.org/RePEc:gue:guelph:2006-6

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