Anchoring vignettes and cross-country comparability: an empirical assessment of self-reported mobility

Andrew M. Jones, Nigel Rice, Silvana Robone

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationHealth Econometrics
EditorsBadi H. Baltagi, Francesco Moscone
Place of PublicationBingley UK
PublisherEmerald Group Publishing Limited
Chapter7
Pages145-174
Number of pages30
Edition1st
ISBN (Electronic)9781787145412, 9781787439269
ISBN (Print)9781787145429
DOIs
Publication statusPublished - 30 May 2018

Publication series

NameContributions to Economic Analysis
Volume294
ISSN (Print)0573-8555

Keywords

  • Anchoring vignettes
  • Cross-country comparison
  • Health
  • Hierarchical ordered probit
  • Reporting heterogeneity
  • Stochastic dominance

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