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

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 ...

Some basic issues in the errors-in-variables problem are discussed, in terms of considerations that arose in analyses of radiation effects on atomic bomb survivors. The setting essentially involves ...

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

Measurement and accountability are hot topics these days. According to a recent study by consultancy Avidan Strategies, "When asked to name the ways in which agencies must improve, 71% of brand ...