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Measurement of horizontal inequity in health care utilisation using European panel data

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Author Info
Bago d'Uva, Teresa
Jones, Andrew M.
van Doorslaer, Eddy

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Abstract

Measurement of inequity in health care delivery has focused on the extent to which health care utilisation is or is not distributed according to need, irrespective of income. Studies using cross-sectional data have proposed various ways of measuring and standardizing for need, but inevitably much of the inter-individual variation in needs remains unobserved in cross-sections. This paper exploits panel data methods to improve the measurement by including the time-invariant part of unobserved heterogeneity into the need-standardization procedure. Using latent class hurdle models for GP and specialist visits estimated on 8 annual waves of the European Community Household Panel we compute indices of horizontal equity that partition total income-related variation in use into a need- and a non-need related part, not only for the observed but also for the unobserved but time-invariant component. We also propose and compare a more conservative index of horizontal inequity to the conventional statistic. We find that many of the cross-country comparative results appear fairly robust to the panel data test, although the panel-based methods lead to significantly higher estimates of horizontal inequity for most countries. This confirms that better estimation and control for need often reveals more pro-rich distributions of doctor utilisation.

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Publisher Info
Article provided by Elsevier in its journal Journal of Health Economics.

Volume (Year): 28 (2009)
Issue (Month): 2 (March)
Pages: 280-289
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Handle: RePEc:eee:jhecon:v:28:y:2009:i:2:p:280-289

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Web page: http://www.elsevier.com/locate/inca/505560

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Keywords: Inequality Inequity Health care utilisation Panel data ECHP;

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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.:
  1. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July. [Downloadable!] (restricted)
  2. Tom Van Ourti, 2004. "Measuring horizontal inequity in Belgian health care using a Gaussian random effects two part count data model," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 705-724. [Downloadable!]
  3. Andrew E. Clark & Fabrice Etilé, 2005. "Don’t Give Up On Me Baby: Spousal Correlation in Smoking Behaviour," IZA Discussion Papers 1692, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  4. Wang, Peiming & Cockburn, Iain M & Puterman, Martin L, 1998. "Analysis of Patent Data--A Mixed-Poisson-Regression-Model Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(1), pages 27-41, January.
  5. Andrew E. Clark & Fabrice Etilé & Fabien Postel-Vinay & Claudia Senik & Karine Van der Straeten, 2004. "Heterogeneity in reported well-being: evidence from twelve european countries," DELTA Working Papers 2004-01, DELTA (Ecole normale supérieure). [Downloadable!]
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  6. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January. [Downloadable!] (restricted)
  7. Hugh Gravelle, 2003. "Measuring income related inequality in health: standardisation and the partial concentration index," Health Economics, John Wiley & Sons, Ltd., vol. 12(10), pages 803-819. [Downloadable!]
  8. Sergi Jiménez-Martín & José M. Labeaga & Maite Martínez-Granado, 2002. "Latent class versus two-part models in the demand for physician services across the European Union," Health Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 301-321. [Downloadable!]
  9. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics. [Downloadable!]
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  10. Teresa Bago d’Uva & Andrew M. Jones, 2006. "Health care utilisation in Europe: new evidence from the ECHP," Health, Econometrics and Data Group (HEDG) Working Papers 06/09, HEDG, c/o Department of Economics, University of York. [Downloadable!]
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  11. Vincenzo Atella & Francesco Brindisi & Partha Deb & Furio C. Rosati, 2003. "Determinants of Access to Physician Services in Italy: A Latent Class Seemingly Unrelated Probit Approach," CEIS Research Paper 36, Tor Vergata University, CEIS. [Downloadable!]
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  12. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March. [Downloadable!] (restricted)
  13. Andreas Million & Regina T. Riphahn & Achim Wambach, 2003. "Incentive effects in the demand for health care: a bivariate panel count data estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 387-405. [Downloadable!]
  14. Eddy van Doorslaer & Xander Koolman & Andrew M. Jones, 2004. "Explaining income-related inequalities in doctor utilisation in Europe," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 629-647. [Downloadable!]
  15. van Doorslaer, Eddy & Wagstaff, Adam & van der Burg, Hattem & Christiansen, Terkel & De Graeve, Diana & Duchesne, Inge & Gerdtham, Ulf-G & Gerfin, Michael & Geurts, Jose & Gross, Lorna, 2000. "Equity in the delivery of health care in Europe and the US," Journal of Health Economics, Elsevier, vol. 19(5), pages 553-583, September. [Downloadable!] (restricted)
  16. Deb, Partha & Trivedi, Pravin K, 1997. "Demand for Medical Care by the Elderly: A Finite Mixture Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 313-36, May-June. [Downloadable!]
  17. Matthew Sutton, 2002. "Vertical and horizontal aspects of socio-economic inequity in general practitioner contacts in Scotland," Health Economics, John Wiley & Sons, Ltd., vol. 11(6), pages 537-549. [Downloadable!]
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(explanations, 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.)

  1. Laudicella, M & Cookson, R & Jones, A.M & Rice, N, 2008. "Health care deprivation profiles in the measurement of inequality and inequity: an application to GP fundholding in the English NHS," Health, Econometrics and Data Group (HEDG) Working Papers 08/06, HEDG, c/o Department of Economics, University of York. [Downloadable!]
    Other versions:
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