Guido W. Imbens

Identification and Inference in Nonlinear Difference-In-Differences Models

Identification of Causal Effects Using Instrumental Variables

Abstract We outline a framework for causal inference in settings where assignment to a binary treatment is ignorable, but compliance with the assignment is not perfect so that t...

Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity

Abstract Two-stage least squares (TSLS) is widely used in econometrics to estimate parameters in systems of linear simultaneous equations and to solve problems of omitted-variab...

Identification and Inference With Many Invalid Instruments

We study estimation and inference in settings where the interest is in the effect of a potentially endogenous regressor on some outcome. To address the endogeneity, we exploit t...