structural derivatives (LASDs) in very general nonseparable models, while allowing for arbitrary dependence between the …

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

optimizers (e.g., quantiles). Key for identification is a specific conditional exogeneity relation. We examine what happens in … its absence and find that identification generally fails. Nevertheless, local and near identification results hold in its …

This paper proposes a new method of obtaining identification in mismeasured regressor models, triangular systems, and … simultaneous equation systems. The method may be used in applications where other sources of identification such as instrumental … generalized method of moments. Identification comes from a heteroskedastic covariance restriction that is shown to be a feature of …

This paper considers identification and estimation of a nonparametric regression model with an unobserved discrete … unknown distribution. We obtain nonparametric identification of the model given monotonicity of the regression function and a … rank condition that is directly testable given the data. Our identification strategy does not require additional sample …

This note considers nonparametric identification of a general nonlinear regression model with a dichotomous regressor …, one of which is binary and error-ridden with misclassification error that has unknown distribution. Our identification …