This paper establishes that instruments enable the identification of nonparametric regression models in the presence of measurement error by providing a closed form ...

In this review of some of the recent work in the study of errors of measurement, attention is centered on the type of mathematical model used to represent errors of measurement, on the extent to which ...

Data that are collected for the production of official statistics or, more generally, for statistical analyses nearly always contain measurement errors. National statistical institutes, other ...

Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach ...