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Education‐related inequity in healthcare with heterogeneous reporting of health

Author

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  • Teresa Bago d'Uva
  • Maarten Lindeboom
  • Owen O'Donnell
  • Eddy van Doorslaer

Abstract

This discussion paper resulted in a publication in the 'Journal of the Royal Statistical Society' , Series A, 2011, 2011, 174, 639–664. Reliance on self-rated health to proxy medical need can bias estimation of education-related inequity in health care utilisation. We correct this bias both by instrumenting self-rated health with objective health indicators and by purging self-rated health of reporting heterogeneity identified from health vignettes. Using data on elderly Europeans, we find that instrumenting self-rated health shifts the distribution of doctor visits in the direction of inequality favouring the better educated. There is a further, and typically larger, shift the same direction when correction is made for the tendency of the better educated to rate their health more negatively.
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Suggested Citation

  • Teresa Bago d'Uva & Maarten Lindeboom & Owen O'Donnell & Eddy van Doorslaer, 2011. "Education‐related inequity in healthcare with heterogeneous reporting of health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 639-664, July.
  • Handle: RePEc:bla:jorssa:v:174:y:2011:i:3:p:639-664
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    as
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    Cited by:

    1. Marion Devaux, 2015. "Income-related inequalities and inequities in health care services utilisation in 18 selected OECD countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(1), pages 21-33, January.
    2. Brilleman, Samuel L. & Gravelle, Hugh & Hollinghurst, Sandra & Purdy, Sarah & Salisbury, Chris & Windmeijer, Frank, 2014. "Keep it simple? Predicting primary health care costs with clinical morbidity measures," Journal of Health Economics, Elsevier, vol. 35(C), pages 109-122.
    3. Bonsang, Eric & Caroli, Eve & Garrouste, Clémentine, 2021. "Gender heterogeneity in self-reported hypertension," Economics & Human Biology, Elsevier, vol. 43(C).
    4. Chen, Linkun & Clarke, Philip M. & Petrie, Dennis J. & Staub, Kevin E., 2021. "The effects of self-assessed health: Dealing with and understanding misclassification bias," Journal of Health Economics, Elsevier, vol. 78(C).
    5. Richard Layte & Anne Nolan, 2015. "Income-related inequity in the use of GP services by children: a comparison of Ireland and Scotland," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(5), pages 489-506, June.
    6. Caroli, Eve & Weber-Baghdiguian, Lexane, 2016. "Self-reported health and gender: The role of social norms," Social Science & Medicine, Elsevier, vol. 153(C), pages 220-229.
    7. Black, Nicole & Johnston, David W. & Shields, Michael A. & Suziedelyte, Agne, 2017. "Who provides inconsistent reports of their health status? The importance of age, cognitive ability and socioeconomic status," Social Science & Medicine, Elsevier, vol. 191(C), pages 9-18.
    8. Knott, Rachel J. & Lorgelly, Paula K. & Black, Nicole & Hollingsworth, Bruce, 2017. "Differential item functioning in quality of life measurement: An analysis using anchoring vignettes," Social Science & Medicine, Elsevier, vol. 190(C), pages 247-255.
    9. Flavia Cristina Drumond Andrade & Jeenal Deepak Mehta, 2018. "Increasing educational inequalities in self-rated health in Brazil, 1998-2013," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-13, April.
    10. Pfarr, Christian & Schmid, Andreas & Schneider, Udo, 2011. "Reporting Heterogeneity in Self-Assessed Health among Elderly Europeans: The Impact of Mental and Physical Health Status," MPRA Paper 29900, University Library of Munich, Germany.
    11. Knott, R. & Lorgelly, P. & Black, N. & Hollingsworth, B., 2016. "Differential item functioning in the EQ-5D: An exploratory analysis using anchoring vignettes," Health, Econometrics and Data Group (HEDG) Working Papers 16/14, HEDG, c/o Department of Economics, University of York.
    12. Geraci Andrea & Fabbri Daniele & Monfardini Chiara, 2018. "Testing Exogeneity of Multinomial Regressors in Count Data Models: Does Two-stage Residual Inclusion Work?," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-19, January.
    13. Van de Poel, Ellen & Van Doorslaer, Eddy & O’Donnell, Owen, 2012. "Measurement of inequity in health care with heterogeneous response of use to need," Journal of Health Economics, Elsevier, vol. 31(4), pages 676-689.
    14. Hanna Grol-Prokopczyk & Emese Verdes-Tennant & Mary McEniry & Márton Ispány, 2015. "Promises and Pitfalls of Anchoring Vignettes in Health Survey Research," Demography, Springer;Population Association of America (PAA), vol. 52(5), pages 1703-1728, October.
    15. Laura Rossouw & Teresa Bago d’Uva & Eddy Doorslaer, 2018. "Poor Health Reporting? Using Anchoring Vignettes to Uncover Health Disparities by Wealth and Race," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1935-1956, October.
    16. Layte, Richard & Nolan, Anne, 2013. "Income-Related Inequity in the Use of GP Services: A Comparison of Ireland and Scotland," Papers WP454, Economic and Social Research Institute (ESRI).
    17. Thomson, Michael, 2019. "Who had access to doctors before and after new universal capitated subsidies in New Zealand?," Health Policy, Elsevier, vol. 123(8), pages 756-764.
    18. Mohammad Habibullah Pulok & Kees Gool & Mohammad Hajizadeh & Sara Allin & Jane Hall, 2020. "Measuring horizontal inequity in healthcare utilisation: a review of methodological developments and debates," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(2), pages 171-180, March.
    19. Denzil G. Fiebig & Kees van Gool & Jane Hall & Chunzhou Mu, 2021. "Health care use in response to health shocks: Does socio‐economic status matter?," Health Economics, John Wiley & Sons, Ltd., vol. 30(12), pages 3032-3050, December.

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    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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