The goal of this paper is to develop formal tests to evaluate the relative in-sample performance of two competing, misspeci ed non-nested models in the presence of possible data instability
We provide a number of contributions of policy, practical and methodological interest to the study of the returns to educational qualifications in the presence of misreporting.
Our primary aim is to develop and validate a population health metric for survey-based health assessment that combines information from both self-reported and observer-measured health indicators
In this paper, we analyze properties of the Continuous Updating Estimator (CUE) proposed by Hansen et al. (1996), which has been suggested as a solution to the finite sample bias problems of the two-step GMM estimator.