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External Validation of the Use of Vignettes in Cross-Country Health Studies

Author

Listed:
  • Datta Gupta, Nabanita

    () (Aarhus University)

  • Kristensen, Nicolai

    () (VIVE - The Danish Centre for Applied Social Science)

  • Pozzoli, Dario

    () (Copenhagen Business School)

Abstract

Cross-country comparisons of subjective assessments are rendered difficult if not impossible because of sub-population specific response style. To correct for this, the use of vignettes has become increasingly popular, notably within cross-country health studies. However, the validity of vignettes as a means to re-scale across sample populations critically rests on the assumption of "response consistency" (RC): that vignettes and self-assessments are evaluated on the same scale. In this paper, we seek to test this assumption by applying objective measures of health along with subjective measures and vignettes. Our results indicate that the assumption of RC is not innocuous and that our extended model relaxing this assumption improves the fit and significantly changes the cross-country rankings of health vis-Ã -vis the standard Chopit model.

Suggested Citation

  • Datta Gupta, Nabanita & Kristensen, Nicolai & Pozzoli, Dario, 2009. "External Validation of the Use of Vignettes in Cross-Country Health Studies," IZA Discussion Papers 3989, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp3989
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    References listed on IDEAS

    as
    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).
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    5. 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.
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    More about this item

    Keywords

    cross-country health comparison; vignettes; subjective and objective measures;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I10 - Health, Education, and Welfare - - Health - - - General

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