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

Yiguo Sun and Thanasis Stengos

Working Paper series from Rimini Centre for Economic Analysis

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.

Keywords: Absolute income hypothesis; Partially linear quantile regression model (search for similar items in EconPapers)
JEL-codes: C14 C51 I12 (search for similar items in EconPapers)
Date: 2007-07
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http://www.rcea.org/RePEc/pdf/wp23_07.pdf

Related works:
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 (2006)
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:rim:rimwps:23_07

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