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Testing the specification of parametric models by using anchoring vignettes

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  • Arthur van Soest
  • Hana Vonkova

Abstract

type="main" xml:lang="en"> Summary. Comparing assessments on a subjective scale across countries or socio-economic groups is often hampered by differences in response scales across groups. Anchoring vignettes help to correct for such differences, either in parametric models (the compound hierarchical ordered probit (CHOPIT) model and extensions) or non-parametrically, comparing rankings of vignette ratings and self-assessments across groups. We construct specification tests of parametric models, comparing non-parametric rankings with rankings by using the parametric estimates. Applied to six domains of health, the test always rejects the standard CHOPIT model, but an extended CHOPIT model performs better. This implies a need for more flexible (parametric or semiparametric) models than the standard CHOPIT model.

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  • 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.
    • Handle: RePEc:bla:jorssa:v:177:y:2014:i:1:p:115-133
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    File URL: http://hdl.handle.net/10.1111/j.1467-985X.2012.12000.x
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    1. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    2. 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.
    3. 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.
    4. repec:cup:apsrev:v:98:y:2004:i:01:p:191-207_00 is not listed on IDEAS
    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. Gallant, A Ronald & Nychka, Douglas W, 1987. "Semi-nonparametric Maximum Likelihood Estimation," Econometrica, Econometric Society, vol. 55(2), pages 363-390, March.
    7. Corrado, L. & Weeks, M., 2010. "Identification Strategies in Survey Response Using Vignettes," Cambridge Working Papers in Economics 1031, Faculty of Economics, University of Cambridge.
    8. Eric Bonsang & Arthur Soest, 2012. "Satisfaction with Social Contacts of Older Europeans," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(2), pages 273-292, January.
    9. Chesher, Andrew & Irish, Margaret, 1987. "Residual analysis in the grouped and censored normal linear model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 33-61.
    10. 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.
    11. Franco Peracchi & Claudio Rossetti, 2012. "Heterogeneity in health responses and anchoring vignettes," Empirical Economics, Springer, vol. 42(2), pages 513-538, April.
    12. Andrews, Donald W. K., 1988. "Chi-square diagnostic tests for econometric models : Introduction and applications," Journal of Econometrics, Elsevier, vol. 37(1), pages 135-156, January.
    13. 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.
    14. Viola Angelini & Danilo Cavapozzi & Luca Corazzini & Omar Paccagnella, 2012. "Age, Health and Life Satisfaction Among Older Europeans," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(2), pages 293-308, January.
    15. 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.
    16. Andrews, Donald W K, 1988. "Chi-Square Diagnostic Tests for Econometric Models: Theory," Econometrica, Econometric Society, vol. 56(6), pages 1419-1453, November.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Hana Vonkova, 2019. "Life Satisfaction among Different Groups of Children: Self-Reports, Differential Scale Usage and Anchoring Vignettes," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 12(6), pages 2111-2136, December.

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