Social heterogeneity in self-reported health status and measurement of inequalities in health
AbstractThis study aims to analyse the impact of the measurement of health status on socioeconomic inequalities in health. A MIMIC model with structural equations is used to create a latent variable of health status from four health indicators: self-assessed health, report of chronic diseases, report of activity limitations and mental health. Then, we disentangle the impact of sociodemographic characteristics on latent health from their direct impact on each heath indicator and discuss their effects on the assessment of socioeconomic inequalities in health. This study emphasises differences in inequalities in health according to latent health. In addition, it suggests the existence of reporting heterogeneity biases. For a given latent health status, women and old people are more likely to report chronic diseases. Mental health problems are over-reported by women and isolated people and under-reported by the oldest people. Active and retired people as well as non manual workers in the top of the social hierarchy more often report activity limitations. Finally, highly educated and socially advantaged people more often report chronic diseases whereas less educated people under-report a poor self-assessed health. To conclude, the four health indicators suffer from reporting heterogeneity biases and the report of chronic diseases is the indicator which biases the most the measurement of socioeconomic inequalities in health.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by IRDES institut for research and information in health economics in its series Working Papers with number DT12.
Length: 25 pages
Date of creation: Jun 2008
Date of revision: Jun 2008
inequalities in health - MIMIC - reporting bias - structural equations;
Find related papers by JEL classification:
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- I10 - Health, Education, and Welfare - - Health - - - General
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Didier Blanchet & Thierry Debrand, 2007. "Souhaiter prendre sa retraite le plus tôt possible : santé, satisfaction au travail et facteurs monétaires," Économie et Statistique, Programme National Persée, vol. 403(1), pages 39-62.
- Paul Dourgnon & Salim Lardjane, 2007.
"Les comparaisons internationales d'état de santé subjectif sont-elles pertinentes ? Une évaluation par la méthode des vignettes-étalons,"
Économie et Statistique,
Programme National Persée, vol. 403(1), pages 165-177.
- Salim Lardjane & Paul Dourgnon, 2007. "Les comparaisons internationales d'etat de sante subjectif sont-elles pertinentes ? Une evaluation par la methode des vignettes-etalon," Working Papers DT2, IRDES institut for research and information in health economics, revised Feb 2007.
- Eddy van Doorslaer & Xander Koolman, 2004. "Explaining the differences in income-related health inequalities across European countries," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 609-628.
- Fabrice Etilé & Carine Milcent, 2006.
"Income-related reporting heterogeneity in self-assessed health: evidence from France,"
John Wiley & Sons, Ltd., vol. 15(9), pages 965-981.
- Fabrice Etilé & Carine Milcent, 2006. "Income-related reporting heterogeneity in self-assessed health: evidence from France," PSE Working Papers halshs-00590524, HAL.
- Sandy Tubeuf & Marc Perronnin, 2008. "New prospects in the analysis of inequalities in health: a measurement of health encompassing several dimensions of health," Health, Econometrics and Data Group (HEDG) Working Papers 08/01, HEDG, c/o Department of Economics, University of York.
- van Doorslaer, Eddy & Gerdtham, Ulf-G., 2003. "Does inequality in self-assessed health predict inequality in survival by income? Evidence from Swedish data," Social Science & Medicine, Elsevier, vol. 57(9), pages 1621-1629, November.
- Eve Caroli & Mathilde Godard, 2013. "Does Job Insecurity Deteriorate Health? A Causal Approach for Europe," PSE Working Papers hal-00784777, HAL.
- repec:dem:demres:v:25:y:2011:i:12 is not listed on IDEAS
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jacques Harrouin).
If references are entirely missing, you can add them using this form.