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Health Economics Review

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Open Access 01-12-2012 | Research

Reporting heterogeneity in self-assessed health among elderly Europeans

Authors: Christian Pfarr, Andreas Schmid, Udo Schneider

Published in: Health Economics Review | Issue 1/2012

Abstract

Introduction

Self-assessed health (SAH) is a frequently used measure of individuals’ health status. It is also prone to reporting heterogeneity. To control for reporting heterogeneity objective measures of true health need to be included in an analysis. The topic becomes even more complex for cross-country comparisons, as many key variables tend to vary strongly across countries, influenced by cultural and institutional differences. This study aims at exploring the key drivers for reporting heterogeneity in SAH in an international context. To this end, country specific effects are accounted for and the objective health measure is concretized, distinguishing effects of mental and physical health conditions.

Methods

We use panel data from the SHARE-project which provides a rich dataset on the elderly European population. To obtain distinct indicators for physical and mental health conditions two indices are constructed. Finally, to identify potential reporting heterogeneity in SAH a generalized ordered probit model is estimated.

Results

We find evidence that in addition to health behaviour, health care utilization, mental and physical health condition as well as country characteristics affect reporting behaviour. We conclude that observed and unobserved heterogeneity play an important role when analysing SAH and have to be taken into account.

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Jürges H: True Health vs Response Styles: Exploring Cross-Country Differences in Self-Reported Health. Health Econ 2007, 16: 163–178. 10.1002/hec.1134PubMedCrossRef

Butler JS, Burkhauser RV, Mitchell JM, Pincus TP: Measurement error in self-reported health variables. Rev Econ Stat 1987,69(4):644. 10.2307/1935959CrossRef

Bound J: Self-Reported versus Objective Measures of Health in Retirement Models. J Hum Resour 1991,26(1):106–138. 10.2307/145718CrossRef

Coe NB, Zamarro G: Retirement Effects on Health in Europe. J Health Econ 2011,30(1):77–86. 10.1016/j.jhealeco.2010.11.002PubMedCentralPubMedCrossRef

Disney R, Emmerson C, Wakefield M: Ill Health and Retirement in Britain: A Panel Data-Based Analysis. J Health Econ 2006,25(4):621–649. 10.1016/j.jhealeco.2005.05.004PubMedCrossRef

Kerkhofs MLM: Subjective Health Measures and State Dependent Reporting Errors. Health Econ 1995, 4: 221–235. 10.1002/hec.4730040307PubMedCrossRef

Lindeboom M, Kerkhofs M: Health and Work of the Elderly: Subjective Health Measures, Reporting Errors and Endogeneity in the Relationship between Health and Work. J Appl Econ 2009,24(6):1024–1046. 10.1002/jae.1077CrossRef

Ziebarth NR: Measurement of health, the sensitivity of the concentration index, and reporting heterogeneity. Soc Sci Med 2010,71(1):116–124. 10.1016/j.socscimed.2010.03.016PubMedCrossRef

Etile F, Milcent C: Income-Related Reporting Heterogeneity in Self-Assessed Health: Evidence from France. Health Econ 2006,15(9):965–981. 10.1002/hec.1164PubMedCrossRef

10.

van Doorslaer E, Jones AM: Inequalities in Self-Reported Health: Validation of a New Approach to Measurement. J Health Econ 2003,22(1):61–87. 10.1016/S0167-6296(02)00080-2PubMedCrossRef

11.

Lindeboom M, van Doorslaer E: Cut-Point Shift and Index Shift in Self-Reported Health. J Health Econ 2004,23(6):1083–1099. 10.1016/j.jhealeco.2004.01.002PubMedCrossRef

12.

Hernández-Quevedo C, Jones AM, Rice N HEDG Working Paper 05/04. In Reporting Bias and Heterogeneity in Self-Assessed Health: Evidence from the British Household Panel Survey. York: University of York; 2005.

13.

Bago d'Uva T, van Doorslaer E, Lindeboom M, O'Donnell O: Does Reporting Heterogeneity Bias the Measurement of Health Disparities? Health Econ 2008,17(3):351–375. 10.1002/hec.1269PubMedCrossRef

14.

Bago d'Uva T, Lindeboom M, O'Donnell O, van Doorslaer E: Education-related Inequity in Health Care with Heterogeneous Reporting of Health. J R Stat Soc Ser A Stat Soc 2011,174(3):639–664. 10.1111/j.1467-985X.2011.00706.xCrossRef

15.

Schneider U, Pfarr C, Schneider B, Ulrich V: I feel good! Gender differences and reporting heterogeneity in self-assessed health. Eur J Health Econ 2012,13(3):251–265. 10.1007/s10198-011-0301-7PubMedCrossRef

16.

Börsch-Supan A, Jürges H: The Survey of Health, Ageing, and Retirement in Europe - Methodology. Mannheim Research Institute for the Economics of Aging (MEA), Mannheim; 2005.

17.

Bundesamt S: Wissenschaftszentrum Berlin für Sozialforschung: Datenreport 2008: Ein Sozialbericht für die Bundesrepublik Deutschland. Berlin: Bundeszentrale für politische Bildung; 2008.

18.

Long JS: Regression models for categorical and limited dependent variables. Thousand Oaks: Sage; 1997.

19.

Boes S PhD thesis. In Three Essays on the Econometric Analysis of Discrete Dependent Variables. PhD thesis. Zürich: University of Zürich; 2007.

20.

Williams R: Generalized ordered logit/partial proportional odds models for ordinal dependent variables. Stata J 2006,6(1):58–82.

21.

Pfarr C, Schmid A, Schneider U: Estimating ordered categorical variables using panel data: a generalized ordered probit model with an autofit procedure. J Econ Econometrics 2011,54(1):7–23.

22.

King G: Enhancing the Validity and Cross-Cultural Comparability of Measurement in Survey Research. Am Pol Sci Rev 2004,98(1):191–207.CrossRef

23.

Rice N, Robone S, Smith P: Analysis of the Validity of the Vignette Approach to Correct for Heterogeneity in Reporting Health System Responsiveness. Eur J Health Econ 2011,12(2):141–162. 10.1007/s10198-010-0235-5PubMedCrossRef

24.

Christelis D: Imputations. In Release Guide 2.3.1, Waves 1 & 2. Mannheim: MEA; 2010:27–32.

25.

van Buuren S, Brand JPL, Groothuis-Oudshoorn CGM, Rubin DB: Fully Conditional Specification in Multivariate Imputation. J Stat Comput Simul 2006,76(12):1049–1064. 10.1080/10629360600810434CrossRef

26.

Kees M: Live longer, work longer. OECD, Paris; 2006.

27.

Andreyeva T PhD thesis. In An International Comparison of Obesity in Older Adults: Effects and Risk Factors. Santa Monica: RAND Corporation; 2006.

28.

Greene WH, Hensher DA: Modeling Ordered Choices: A Primer. Cambridge and New York: Cambridge University Press; 2010.CrossRef

Title: Reporting heterogeneity in self-assessed health among elderly Europeans
Authors: Christian Pfarr
Andreas Schmid
Udo Schneider
Publication date: 01-12-2012
Publisher: Springer Berlin Heidelberg
Published in: Health Economics Review / Issue 1/2012
Electronic ISSN: 2191-1991
DOI: https://doi.org/10.1186/2191-1991-2-21

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Reporting heterogeneity in self-assessed health among elderly Europeans

Abstract

Introduction

Methods

Results

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

Introduction

Methods

Results

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