This article explores how individual socio-economic characteristics affect unobserved heterogeneity in self-reporting behaviour and health production using a multivariate finite mixture model. Results show a positive relationship between objective and subjective observable health indicators and true health and support the existence of self-reporting bias related to socio-economic characteristics and individual life styles.
Dardanoni, V., Li Donni, P. (2012). Reporting heterogeneity in health: an extended latent class approach. APPLIED ECONOMICS LETTERS, 19(12), 1129-1133 [10.1080/13504851.2011.615728].
Reporting heterogeneity in health: an extended latent class approach
DARDANONI, Valentino;LI DONNI, Paolo
2012-01-01
Abstract
This article explores how individual socio-economic characteristics affect unobserved heterogeneity in self-reporting behaviour and health production using a multivariate finite mixture model. Results show a positive relationship between objective and subjective observable health indicators and true health and support the existence of self-reporting bias related to socio-economic characteristics and individual life styles.
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