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Health care utilisation in Europe: new evidence from the ECHP

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  • Teresa Bago d’Uva
  • Andrew M. Jones

Abstract

The ECHP is used to analyse the utilisation of health care in Europe. We estimate a new latent class hurdle model for panel data and compare it with the latent class NegBin model and the standard hurdle model. Latent class specifications outperform the standard hurdle model but the latent class hurdle model reveals income e¤ects on the probability of visiting a doctor that are masked in the NegBin model. For visits to specialist, low users are more income elastic than high users and the probability of using health care is more income elastic than the conditional number of visits.

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Bibliographic Info

Paper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 06/09.

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Date of creation: Sep 2006
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Handle: RePEc:yor:hectdg:06/09

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Postal: HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Phone: (0)1904 323776
Fax: (0)1904 323759
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Web page: http://www.york.ac.uk/economics/postgrad/herc/hedg/
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Keywords: Inequality; inequity; health care utilisation; mixture models; latent class models; hurdle models; panel data; ECHP;

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References

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  17. 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.
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Citations

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Cited by:
  1. Teresa Bago d’Uva & Andrew M. Jones & Eddy van Doorslaer, 2007. "Measurement of horizontal inequity in health care utilisation using European Panel data," Health, Econometrics and Data Group (HEDG) Working Papers 07/17, HEDG, c/o Department of Economics, University of York.
  2. Jon H. Fiva, & Torbjørn Hægeland & Marte Rønning & Astri Syse, 2013. "Access to treatment and educational inequalities in cancer survival," Discussion Papers 735, Research Department of Statistics Norway.
  3. Moreira S & Pita Barros P, 2009. "Double coverage and demand for health care: Evidence from quantile regression," Health, Econometrics and Data Group (HEDG) Working Papers 09/21, HEDG, c/o Department of Economics, University of York.
  4. Anikó Bíró, 2014. "Supplementary private health insurance and health care utilization of people aged 50+," Empirical Economics, Springer, vol. 46(2), pages 501-524, March.
  5. Brown, Sarah & Greene, William H. & Harris, Mark N., 2014. "A New Formulation for Latent Class Models," IZA Discussion Papers 8283, Institute for the Study of Labor (IZA).
  6. Luca Stella, 2014. "Living Arrangements in Europe: Whether and Why Paternal Retirement Matters," "Marco Fanno" Working Papers 0177, Dipartimento di Scienze Economiche "Marco Fanno".
  7. Wouterse, Bram & Huisman, Martijn & Meijboom, Bert R. & Deeg, Dorly J.H. & Polder, Johan J., 2013. "Modeling the relationship between health and health care expenditures using a latent Markov model," Journal of Health Economics, Elsevier, vol. 32(2), pages 423-439.
  8. Guthmuller, Sophie & Jusot, Florence & Wittwer, Jérôme, 2014. "Improving take-up of health insurance program: a social experiment in France," Economics Papers from University Paris Dauphine 123456789/9715, Paris Dauphine University.
  9. 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.
  10. Sara Moreira & Pedro Pita Barros, 2009. "Impact of Double Coverage on the Utilisation of Health Care," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
  11. Sara Moreira & Pedro Pita Barros, 2009. "Double Coverage and Health Care Utilisation:Evidence from Quantile Regression," Working Papers w200911, Banco de Portugal, Economics and Research Department.
  12. Jusot, Florence & Bricard, Damien, 2012. "Intergenerational transmission of health care habits in France," Economics Papers from University Paris Dauphine 123456789/10720, Paris Dauphine University.
  13. Paul Joustra & Reinier Meester & Hans Ophem, 2013. "Can statisticians beat surgeons at the planning of operations?," Empirical Economics, Springer, vol. 44(3), pages 1697-1718, June.
  14. Bíró, Anikó, 2013. "Copayments, gatekeeping, and the utilization of outpatient public and private care at age 50 and above in Europe," Health Policy, Elsevier, vol. 111(1), pages 24-33.

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