%0 Journal Article 
%A Jones, Andrew M.
%A López Nicolás, Ángel
%T The importance of individual heterogeneity in the composition of measures of socioeconomic inequality in health: an approach based on quantile regression
%D 2002
%U http://hdl.handle.net/10317/1188
%X This paper shows how recently developed regression-based methods for the
decomposition of health inequality can be extended to incorporate individual
heterogeneity in the responses of health to the explanatory variables. We illustrate our
method with an application to the Canadian NPHS of 1994. Our strategy for the
estimation of heterogeneous responses is based on the quantile regression model. The
results suggest that there is an important degree of heterogeneity in the association of
health to explanatory variables which, in turn, accounts for a substantial percentage of
inequality in observed health. A particularly interesting finding is that the marginal
response of health to income is zero for healthy individuals but positive and significant
for unhealthy individuals. The heterogeneity in the income response reduces both
overall health inequality and income related health inequality.
%K Economía Aplicada
%K Desigualdades en salud
%K Heterogeneidad incumplida
%K Regresión cuantil
%K Health inequalities
%K Unobserved heterogeneity
%K Quantile regression
%~ GOEDOC, SUB GOETTINGEN