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Gender and regional differences in self-rated health in Europe

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Abstract

This paper shows that gender and regional differences in self-rated health in Europe are partly explained by differences in the prevalence of the various conditions. However, a non-negligible part of these differences is due to other causes, which may include differences in reporting own health. We employ the tool of “anchoring vignettes” to understand whether and how women and men living in different regions differently report levels in a number of health components or domains. We find that vignettes help identifying gender and regional differences in response scales. After controlling for these differences, both gender and regional variation in reported health is substantially reduced, although not entirely eliminated. Our results suggest that differences in response style should be taken into account when using self-assessment of health in socio-economic studies. Failing to do so may lead to misleading conclusions.

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File URL: ftp://www.ceistorvergata.it/repec/rpaper/RP142.pdf
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Bibliographic Info

Paper provided by Tor Vergata University, CEIS in its series CEIS Research Paper with number 142.

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Length: 40 pages
Date of creation: 30 Sep 2009
Date of revision: 30 Sep 2009
Handle: RePEc:rtv:ceisrp:142

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Postal: CEIS - Centre for Economic and International Studies - Faculty of Economics - University of Rome "Tor Vergata" - Via Columbia, 2 00133 Roma
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Keywords: self-rated health; health domains; anchoring vignettes; reporting bias;

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References

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  1. Hendrik Jürges, 2007. "True health vs response styles: exploring cross-country differences in self-reported health," Health Economics, John Wiley & Sons, Ltd., vol. 16(2), pages 163-178.
  2. van Soest, Arthur & Delaney, Liam & Harmon, Colm P. & Kapteyn, Arie & Smith, James P., 2007. "Validating the Use of Vignettes for Subjective Threshold Scales," IZA Discussion Papers 2860, Institute for the Study of Labor (IZA).
  3. 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.
  4. Lindeboom, Maarten & van Doorslaer, Eddy, 2004. "Cut-point shift and index shift in self-reported health," Journal of Health Economics, Elsevier, vol. 23(6), pages 1083-1099, November.
  5. Arie Kapteyn & James P. Smith & Arthur van Soest, 2007. "Vignettes and Self-Reports of Work Disability in the United States and the Netherlands," American Economic Review, American Economic Association, vol. 97(1), pages 461-473, March.
  6. Claudio Rossetti, 2009. "Ordered probit models with anchoring vignette," Italian Stata Users' Group Meetings 2008 02, Stata Users Group.
  7. Anne Case & Christina Paxson, 2005. "Sex differences in morbidity and mortality," Demography, Springer, vol. 42(2), pages 189-214, May.
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Citations

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Cited by:
  1. Datta Gupta, Nabanita & Kristensen, Nicolai & Pozzoli, Dario, 2010. "External validation of the use of vignettes in cross-country health studies," Economic Modelling, Elsevier, vol. 27(4), pages 854-865, July.
  2. Corrado, L. & Weeks, M., 2010. "Identification Strategies in Survey Response Using Vignettes," Cambridge Working Papers in Economics 1031, Faculty of Economics, University of Cambridge.
  3. Andrew M. Jones; Nigel Rice, Silvana Robone; & Nigel Rice; & Silvana Robone:, 2012. "A comparison of parametric and non-parametric adjustments using vignettes for self-reported data," Health, Econometrics and Data Group (HEDG) Working Papers 12/10, HEDG, c/o Department of Economics, University of York.
  4. Franco Peracchi & Valeria Perotti, 2010. "Subjective survival probabilities and life tables: Evidence from Europe," EIEF Working Papers Series 1016, Einaudi Institute for Economics and Finance (EIEF), revised Nov 2011.

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