We analyze identification of nonseparable models under three kinds of exogeneity assumptions weaker than full …

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. …

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 examines three distinct hypothesis testing problems that arise in the context of identification of some … identification in some nonparametric models with endogeneity involving mean independence restrictions. These conditions are typically … identification directly in some nonparametric models with endogeneity involving quantile independence restrictions. For each of these …

average counterfactual outcomes are bounded under different treatments. We obtain a set of new partial identification results … the existing literature using our identification results and illustrate its usefulness by applying one of our … identification results to the Job Corps Study dataset. Our empirical results show that there is strong evidence of the gender and …

regression. Some examples illustrate the wide applicability and utility of our identification result, including bounds and a new … identification condition for point-evaluation functionals. The main ideas are illustrated with an empirical application of the effect …

identification results and to fast, easy to implement, and tuning-free estimators that do not require the availability of high …