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

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

identification principle can be applied to well-known objects like the slope coefficient in the semiparametric panel data binary …

with random coefficients and exogenous regressors in both equations. We establish a profound non-identification result: the … outcome equation or any marginal, except the one on the endogenous regressor. Identification continues to fail, even if we …

This paper contributes to the understanding of the source of identification in panel data models. Recent research has … sections and establish that point identification is generically only possible in specific subpopulations, for finite T … identification as T tends to infinity only. We systematize this behavior by comparing it to increasing the number of support points …

econometric issues as the identification of marginal effects or economic restrictions in structural models. Our identification …

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