6533b829fe1ef96bd128a4b8
RESEARCH PRODUCT
Reporting heterogeneity in health: an extended latent class approach
Paolo Li DonniValentino Dardanonisubject
Health productionEconomics and EconometricsMultivariate statisticsself-assessed health multivariate finite mixture model biomarkers self-reporting biasSettore SECS-P/03 - Scienza Delle FinanzeStatisticsEconometricsPositive relationshipAffect (psychology)PsychologyMixture modelHealth indicatorClass (biology)description
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-08-01 |