Measurement error arises when the observed data deviate from true values due to inaccuracies in measurement processes, potentially leading to biased estimates and ...

Measurement error models address the deviation between observed and true values, thereby refining the reliability of statistical inference. These frameworks are ...

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

This is a preview. Log in through your library . Abstract This article reviews recent significant progress made in developing estimation and inference methods for nonlinear models in the presence of ...