Testing the specifications of parametric models using anchoring vignettes

A.H.O. van Soest, H. Vonkova

Research output: Contribution to journalArticleScientificpeer-review

15 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)115-133
JournalJournal of the Royal Statistical Society Series A-Statistics in Society
Issue number1
Publication statusPublished - Jan 2014


  • Compound hierarchical ordered probit model
  • reporting bias
  • self-assessed health
  • specification testing


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