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Analysis of the validity of the vignette approach to correct for heterogeneity in reporting health system responsiveness

  • Nigel Rice
  • Silvana Robone

    ()

  • Peter Smith

Despite the growing popularity of the vignette methodology to deal with self-reported, categorical data, the formal evaluation of the validity of this methodology is still a topic of research. Some critical assumptions need to hold in order for this method to be valid. In this paper we analyse the assumption of “vignette equivalence” using data on health system responsiveness contained within the World Health Survey. We perform several tests to check the assumption of vignette equivalence. First, we use a test based on the global ordering of the vignettes. A minimal condition for the assumption of vignette equivalence to hold is that individual responses are consistent with the global ordering of vignettes. Secondly, using the HOPIT model on the pool of countries, we undertake sensitivity analyses, stratifying countries according to the Inglehart-Welzel scale and the Human Development Index. The results of this analysis are robust, suggesting that the vignette equivalence assumption is not contradicted. Thirdly, we model the reporting behaviour of the respondents through a two-step regression procedure to evaluate whether the vignettes construct is perceived by respondents in different ways. Overall, across the analyses the results do not contradict the assumption of vignette equivalence and accordingly lend support to the use of the vignette methodology when analysing self-reported data and health system responsiveness.

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File URL: http://hdl.handle.net/10.1007/s10198-010-0235-5
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Article provided by Springer in its journal The European Journal of Health Economics.

Volume (Year): 12 (2011)
Issue (Month): 2 (April)
Pages: 141-162

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Handle: RePEc:spr:eujhec:v:12:y:2011:i:2:p:141-162
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  1. Arthur Van Soest & Liam Delaney & Colm Harmon & Arie Kapteyn & James P. Smith, 2007. "Validating the Use of Vignettes for Subjective Threshold Scales," Working Papers 200714, Geary Institute, University College Dublin.
  2. Teresa Bago d'Uva & Eddy van Doorslaer & Maarten Lindeboom & Owen O'Donnell & Somnath Chatterji, 2006. "Does Reporting Heterogeneity bias the Measurement of Health Disparities?," Tinbergen Institute Discussion Papers 06-033/3, Tinbergen Institute.
  3. Teresa Bago d’Uva & Maarten Lindeboom & Owen O’Donnell & Eddy van Doorslaer, 2011. "Slipping Anchor?: Testing the Vignettes Approach to Identification and Correction of Reporting Heterogeneity," Journal of Human Resources, University of Wisconsin Press, vol. 46(4), pages 875-906.
  4. Rice, N & Robone, S & Smith, P.C, 2008. "International Comparison of Public Sector Performance: The Use of Anchoring Vignettes to adjust Self-Reported Data," Health, Econometrics and Data Group (HEDG) Working Papers 08/28, HEDG, c/o Department of Economics, University of York.
  5. 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.
  6. Nicolas Sirven & Brigitte Santos-Eggimann & Jacques Spagnoli, 2008. "Comparability of Health Care Responsiveness in Europe using anchoring vignettes from SHARE," Working Papers DT15, IRDES institut for research and information in health economics, revised Sep 2008.
  7. Kristensen, Nicolai & Johansson, Edvard, 2008. "New evidence on cross-country differences in job satisfaction using anchoring vignettes," Labour Economics, Elsevier, vol. 15(1), pages 96-117, February.
  8. Nigel Rice & Silvana Robone & Peter Smith, 2011. "Analysis of the validity of the vignette approach to correct for heterogeneity in reporting health system responsiveness," The European Journal of Health Economics, Springer, vol. 12(2), pages 141-162, April.
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