This paper establishes that instruments enable the identification of nonparametric regression models in the presence of measurement error by providing a closed form ...
Measurement error arises when the observed data deviate from true values due to inaccuracies in measurement processes, potentially leading to biased estimates and ...
We consider censored structural latent variables models where some exogenous variables are subject to additive measurement errors. We demonstrate that overidentification conditions can be exploited to ...
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