control variables to correct for endogeneity, nonparametric identification of treatment effects requires strong support … conditions for identification of average treatment effects. A sufficient condition for identification is conditional …- and non-parametric identification into a common framework. …

This paper studies identification in a binary choice panel data model with choice probabilities depending on a lagged … of data identification is not possible (in a neighborhood of zero), even in the logistic case. …

rule, this identification result should have a wide applicability. It leads to a new perspective on handling measurement …

identification), but ignoring it can lead to misspecifications. The survey starts with a general characterization of structural … guide to identification and estimation strategies, I discuss games of complete and incomplete information separately …

In parametric models a sufficient condition for local identification is that the vector of moment conditions is … the true value that are sufficient for local identification. We apply these results to obtain new, primitive … identification conditions in several important models, including nonseparable quantile instrumental variable (IV) models, single …

the use of instrumental variables and discuss conditions under which partial and point identification are obtained. We … update the identification results of Chernozhukov and Hansen (2005). We illustrate the modelling assumptions through …

This paper studies the nonparametric identification and estimation of voters' preferences when voters are ideological …

This paper studies the identification of nonseparable models with continuous, endogenous regressors, also called …