The absolute health income hypothesis revisited: a semiparametric quantile regression approach

This paper uses the 1998–1999 Canadian National Population Health Survey 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. We would like to thank two anonymous referees and Baldev Raj, the editor, for useful and constructive comments and suggestions. The views expressed in this article are those of the authors and do not necessarily reflect the views of Statistics Canada. Both authors would also like to acknowledge financial support from SSHRC of Canada.