TY - BOOK
T1 - A comparison of parametric and non-parametric adjustments using vignettes for self-reported data
AU - Jones, Andrew M.
AU - Rice, Nigel
AU - ROBONE, SILVANA MARIA
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - health
KW - REPORTING HETEROGENEITY
KW - SHARE
KW - cross-country comparisons
KW - parametric and non-parametric approaches
KW - health
KW - REPORTING HETEROGENEITY
KW - SHARE
KW - cross-country comparisons
KW - parametric and non-parametric approaches
UR - https://iris.uniupo.it/handle/11579/182056
M3 - Book
SN - 9788834325568
BT - A comparison of parametric and non-parametric adjustments using vignettes for self-reported data
PB - Vita e Pensiero
ER -