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Health determinants and the reporting heterogeneity bias in Russia: Anchoring vignettes approach

Author

Listed:
  • Raskina, Yulia

    (European University at St. Petersburg, St. Petersburg, Russian Federation)

  • Podkorytova, Olga

    (European University at St. Petersburg; Saint Petersburg State University, St. Petersburg, Russian Federation)

  • Kuchakov, Ruslan

    (European University at St. Petersburg, St. Petersburg, Russian Federation)

Abstract

We show the reporting heterogeneity bias into all 7 domains of health using the anchoring vignettes approach with the hierarchical ordered probit model. The paper uses the data of the Russian sample of the first wave of the global survey SAGE provided by the World Health Organization Study. The heterogeneity bias correction has changed the significance level of education level, permanent income, rural/urban living, and marital status.

Suggested Citation

  • 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.
    • Handle: RePEc:ris:apltrx:0449
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    1. Franco Peracchi & Claudio Rossetti, 2013. "The heterogeneous thresholds ordered response model: identification and inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 703-722, June.
    2. 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.
    3. Michael Lokshin & Martin Ravallion, 2008. "Testing for an economic gradient in health status using subjective data," Health Economics, John Wiley & Sons, Ltd., vol. 17(11), pages 1237-1259.
    4. 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.
    5. Michael Baker & Mark Stabile & Catherine Deri, 2004. "What Do Self-Reported, Objective, Measures of Health Measure?," Journal of Human Resources, University of Wisconsin Press, vol. 39(4).
    6. Eddy van Doorslaer & Xander Koolman, 2004. "Explaining the differences in income‐related health inequalities across European countries," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 609-628, July.
    7. repec:cup:apsrev:v:98:y:2004:i:01:p:191-207_00 is not listed on IDEAS
    8. Molina, Teresa, 2017. "Adjusting for heterogeneous response thresholds in cross-country comparisons of self-reported health," The Journal of the Economics of Ageing, Elsevier, vol. 10(C), pages 1-20.
    9. 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.
    10. Marcel Kerkhofs & Maarten Lindeboom, 1995. "Subjective health measures and state dependent reporting errors," Health Economics, John Wiley & Sons, Ltd., vol. 4(3), pages 221-235, May.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. David M. Cutler & Adriana Lleras-Muney, 2006. "Education and Health: Evaluating Theories and Evidence," NBER Working Papers 12352, National Bureau of Economic Research, Inc.
    16. 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.
    17. Oksuzyan, Anna & Dańko, Maciej J. & Caputo, Jennifer & Jasilionis, Domantas & Shkolnikov, Vladimir M., 2019. "Is the story about sensitive women and stoical men true? Gender differences in health after adjustment for reporting behavior," Social Science & Medicine, Elsevier, vol. 228(C), pages 41-50.
    18. Datta Gupta, Nabanita & Jürges, Hendrik, 2012. "Do workers underreport morbidity? The accuracy of self-reports of chronic conditions," Social Science & Medicine, Elsevier, vol. 75(9), pages 1589-1594.
    19. Kaneva, Maria & Baidin, Valerii, 2018. "Heterogeneity in reporting self-assessed health of the Russians," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 51, pages 102-125.
    20. Riva, Mylene & Curtis, Sarah & Gauvin, Lise & Fagg, James, 2009. "Unravelling the extent of inequalities in health across urban and rural areas: Evidence from a national sample in England," Social Science & Medicine, Elsevier, vol. 68(4), pages 654-663, February.
    21. Terraneo, Marco, 2015. "Inequities in health care utilization by people aged 50+: Evidence from 12 European countries," Social Science & Medicine, Elsevier, vol. 126(C), pages 154-163.
    22. King, Gary & Wand, Jonathan, 2007. "Comparing Incomparable Survey Responses: Evaluating and Selecting Anchoring Vignettes," Political Analysis, Cambridge University Press, vol. 15(1), pages 46-66, January.
    23. Stafford, M. & Cummins, S. & Macintyre, S. & Ellaway, A. & Marmot, M., 2005. "Gender differences in the associations between health and neighbourhood environment," Social Science & Medicine, Elsevier, vol. 60(8), pages 1681-1692, April.
    24. Groot, Wim & Maassen van den Brink, Henriette, 2007. "The health effects of education," Economics of Education Review, Elsevier, vol. 26(2), pages 186-200, April.
    25. Arthur van Soest & Liam Delaney & Colm Harmon & Arie Kapteyn & James P. Smith, 2011. "Validating the use of anchoring vignettes for the correction of response scale differences in subjective questions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 575-595, July.
    26. Arthur van Soest & Hana Vonkova, 2014. "Testing the specification of parametric models by using anchoring vignettes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(1), pages 115-133, January.
    27. Krieger, N. & Chen, J.T. & Waterman, P.D. & Rehkopf, D.H. & Subramanian, S.V., 2003. "Race/Ethnicity, Gender, and Monitoring Socioeconomic Gradients in Health: Comparison of Area-Based Socioeconomic Measures - The Public Health Disparities Geocoding Project," American Journal of Public Health, American Public Health Association, vol. 93(10), pages 1655-1671.
    28. Martinson, M.L., 2012. "Income inequality in health at all ages: A comparison of the United States and England," American Journal of Public Health, American Public Health Association, vol. 102(11), pages 2049-2056.
    29. Udo Schneider & Christian Pfarr & Brit Schneider & Volker Ulrich, 2012. "I feel good! Gender differences and reporting heterogeneity in self-assessed health," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(3), pages 251-265, June.
    30. Laura Rossouw & Teresa Bago d’Uva & Eddy Doorslaer, 2018. "Poor Health Reporting? Using Anchoring Vignettes to Uncover Health Disparities by Wealth and Race," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1935-1956, October.
    31. Michael Lokshin & Martin Ravallion, 2008. "Testing for an economic gradient in health status using subjective data," Health Economics, John Wiley & Sons, Ltd., vol. 17(11), pages 1237-1259, November.
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    More about this item

    Keywords

    determinants of health; reporting heterogeneity bias; anchoring vignettes; HOPIT; Russia; SAGE;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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