A comparison of parametric and non-parametric adjustments using vignettes for self-reported data

The use of parametric and non-parametric approaches to adjust for heterogeneity in self-reported data is investigated in our analysis. Despite the growing popularity of the HOPIT model to account for differences in reporting behaviour recent evidence has questioned the validity of this heavily parametric approach. We compare the performance of this model to an alternative non-parametric estimator. Using data relating to the health domains of the Survey of Health, Ageing and Retirement in Europe (SHARE) we perform pairwise country comparisons of self-reported health, objective measures of health, and measures of health adjusted for the presence of reporting heterogeneity.