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Education‐related inequity in healthcare with heterogeneous reporting of health

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

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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Article provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series A (Statistics in Society).

Volume (Year): 174 (2011)
Issue (Month): 3 (07)
Pages: 639-664

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Handle: RePEc:bla:jorssa:v:174:y:2011:i:3:p:639-664
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  6. Teresa Bago d’Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O’Donnell & Somnath Chatterji, 2006. "Does reporting heterogeneity bias the measurement of health disparities?," Health, Econometrics and Data Group (HEDG) Working Papers 06/03, HEDG, c/o Department of Economics, University of York.
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  16. Gurmu, Shiferaw, 1998. "Generalized hurdle count data regression models," Economics Letters, Elsevier, vol. 58(3), pages 263-268, March.
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