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Anchoring Vignettes and Cross-country Comparability: An Empirical Assessment of Self-reported Mobility

In: Health Econometrics

Author

Listed:
  • Andrew M. Jones
  • Nigel Rice
  • Silvana Robone

Abstract

Anchoring vignettes have become a popular method to adjust self-assessed data for systematic differences in reporting behaviour to aid comparability, for example, of cross-country analyses. The method relies on the two fundamental assumptions of response consistency and vignette equivalence. Evidence on the validity of these assumptions is equivocal. This chapter considers the utility of the vignette approach by considering how successful the method is in moving self-assessed reports of health mobility towards objective counterparts. We draw on data from the Survey of Health, Ageing and Retirement in Europe (SHARE) and undertake pairwise country comparisons of cumulative distributions of self-reports, their objective counterparts and vignette adjusted reports. Comparison of distributions is based on tests for stochastic dominance. Multiple cross-country comparisons are undertaken to assess the consistency of results across contexts and settings. Both non-parametric and parametric approaches to vignette adjustment are considered. In general, we find the anchoring vignette methodology poorly reconciles self-reported data with objective counterparts.

Suggested Citation

  • Andrew M. Jones & Nigel Rice & Silvana Robone, 2018. "Anchoring Vignettes and Cross-country Comparability: An Empirical Assessment of Self-reported Mobility," Contributions to Economic Analysis, in: Health Econometrics, volume 127, pages 145-174, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:ceazzz:s0573-855520180000294008
    DOI: 10.1108/S0573-855520180000294008
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    More about this item

    Keywords

    Reporting heterogeneity; anchoring vignettes; hierarchical ordered probit; stochastic dominance; cross-country comparison; health; C1; I1;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • I1 - Health, Education, and Welfare - - Health

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