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Analysis of the Validity of the Vignette Approach to Correct for Heterogeneity in Reporting Health System Responsiveness

Author

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  • Nigel Rice
  • Silvana Robone
  • Peter Smith

Abstract

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.

Suggested Citation

  • Nigel Rice & Silvana Robone & Peter Smith, 2009. "Analysis of the Validity of the Vignette Approach to Correct for Heterogeneity in Reporting Health System Responsiveness," Health, Econometrics and Data Group (HEDG) Working Papers 09/28, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:09/28
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    1. 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 of Labor Economics (IZA).
    2. 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.
    3. 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;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(2), pages 141-162, April.
    4. repec:cup:apsrev:v:98:y:2004:i:01:p:191-207_00 is not listed on IDEAS
    5. 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.
    6. 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.
    7. repec:ucn:wpaper:10197/580 is not listed on IDEAS
    8. 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.
    9. 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.
    10. Teresa Bago d'Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O'Donnell, 2008. "Does reporting heterogeneity bias the measurement of health disparities?," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 351-375, March.
    11. Lewis, Jeffrey B. & Linzer, Drew A., 2005. "Estimating Regression Models in Which the Dependent Variable Is Based on Estimates," Political Analysis, Cambridge University Press, vol. 13(4), pages 345-364.
    12. 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.
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    Cited by:

    1. Röttger, Julia & Blümel, Miriam & Fuchs, Sabine & Busse, Reinhard, 2014. "Assessing the responsiveness of chronic disease care - Is the World Health Organization's concept of health system responsiveness applicable?," Social Science & Medicine, Elsevier, vol. 113(C), pages 87-94.
    2. Arie Kapteyn & James P. Smith & Arthur Van Soest, 2013. "Are A mericans Really Less Happy with Their Incomes?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(1), pages 44-65, March.
    3. 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;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(2), pages 141-162, April.
    4. Raskina, Yulia & Podkorytova, Olga & Kuchakov, Ruslan, 2022. "Health determinants and the reporting heterogeneity bias in Russia: Anchoring vignettes approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 118-143.
    5. Bertoni, Marco, 2015. "Hungry today, unhappy tomorrow? Childhood hunger and subjective wellbeing later in life," Journal of Health Economics, Elsevier, vol. 40(C), pages 40-53.
    6. William H. Greene & Mark N. Harris & Rachel J. Knott & Nigel Rice, 2021. "Specification and testing of hierarchical ordered response models with anchoring vignettes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 31-64, January.
    7. Maarten Lindeboom, 2012. "Health and Work of Older Workers," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 3, Edward Elgar Publishing.
    8. Fanny Cros & Sébastien Lamy & Pascale Grosclaude & Antoine Nebout & Emilien Chabrillac & Sébastien Vergez & Pierre Bories & Agnès Dupret-Bories, 2021. "Physician practice variation in head and neck cancer therapy: Results of a national survey," Post-Print hal-03373358, HAL.
    9. Gianluca Fiorentini & Silvana Robone & Rossella Verzulli, 2018. "How do hospital‐specialty characteristics influence health system responsiveness? An empirical evaluation of in‐patient care in the Italian region of Emilia‐Romagna," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 266-281, February.
    10. Carmelo J. León & Jorge E. Araña & Javier de León, 2013. "Valuing the social cost of corruption using subjective well being data and the technique of vignettes," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3863-3870, September.
    11. 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.
    12. Mathieu F. Janssen & Gouke J. Bonsel & Nan Luo, 2018. "Is EQ-5D-5L Better Than EQ-5D-3L? A Head-to-Head Comparison of Descriptive Systems and Value Sets from Seven Countries," PharmacoEconomics, Springer, vol. 36(6), pages 675-697, June.
    13. Viola Angelini & Danilo Cavapozzi & Luca Corazzini & Omar Paccagnella, 2014. "Do Danes and Italians Rate Life Satisfaction in the Same Way? Using Vignettes to Correct for Individual-Specific Scale Biases," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(5), pages 643-666, October.
    14. Rachel J. Knott & Nicole Black & Bruce Hollingsworth & Paula K. Lorgelly, 2017. "Response‐Scale Heterogeneity in the EQ‐5D," Health Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 387-394, March.
    15. Hanna Grol-Prokopczyk, 2018. "In Pursuit of Anchoring Vignettes That Work: Evaluating Generality Versus Specificity in Vignette Texts," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(1), pages 54-63.
    16. Arie Kapteyn & James P. Smith & Arthur Van Soest, 2013. "Are A mericans Really Less Happy with Their Incomes?," Review of Income and Wealth, International Association for Research in Income and Wealth, pages 44-65.
    17. 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.
    18. Basar, Dilek & Soytas, Mehmet A., 2018. "Can heterogeneity in reporting behavior explain the gender gap in self-assessed health status?," Economics Discussion Papers 2018-25, Kiel Institute for the World Economy (IfW Kiel).
    19. Zhang, Hao & Bago d’Uva, Teresa & van Doorslaer, Eddy, 2015. "The gender health gap in China: A decomposition analysis," Economics & Human Biology, Elsevier, vol. 18(C), pages 13-26.
    20. Carmelo León & Jorge Araña & Javier León, 2013. "Correcting for Scale Perception Bias in Measuring Corruption: an Application to Chile and Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(3), pages 977-995, December.
    21. Hanna Grol-Prokopczyk & Emese Verdes-Tennant & Mary McEniry & Márton Ispány, 2015. "Promises and Pitfalls of Anchoring Vignettes in Health Survey Research," Demography, Springer;Population Association of America (PAA), vol. 52(5), pages 1703-1728, October.
    22. Valentine, Nicole & Verdes-Tennant, Emese & Bonsel, Gouke, 2015. "Health systems' responsiveness and reporting behaviour: Multilevel analysis of the influence of individual-level factors in 64 countries," Social Science & Medicine, Elsevier, vol. 138(C), pages 152-160.
    23. Omar Paccagnella, 2011. "Anchoring vignettes with sample selection due to non‐response," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 665-687, July.
    24. Jia Wang, 2017. "Rural-to-urban Migration and Rising Evaluation Standards for Subjective Social Status in Contemporary China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(3), pages 1113-1134, December.

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    More about this item

    Keywords

    Health system responsiveness; Anchoring vignettes; Vignette Equivalence;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General

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