In real-life, individuals are often assigned to binary treatments according to existing treatment protocols.  Such protocols, when designed with “taste-based†motives, would be productively inefficient in that the expected returns to treatment for the marginal treatment recipient...

This paper considers identification and inference of a general latent nonlinear model using two samples, where a covariate contains arbitrary measurement errors in both samples, and neither sample contains an accurate measurement of the corresponding true variable. The primary sample consists of...