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An Adversarial Approach to Identification, Computation, and Inference in Models with a Linear-in-Measures Representation
Irene Botosaru, Isaac Loh, Chris Muris
We develop a framework for identification, computation, and inference in econometric models with a linear-in-measures representation. These models express maintained restrictions a…
An Adversarial Approach to Identification
Irene Botosaru, Isaac Loh, Chris Muris
We introduce a new framework for characterizing identified sets of structural and counterfactual parameters in econometric models. By reformulating the identification problem as a…
Inference under partial identification with minimax test statistics
Isaac Loh
We provide a means of computing and estimating the asymptotic distributions of statistics based on an outer minimization of an inner maximization. Such test statistics, which arise…
Nonparametric Identification and Estimation with Independent, Discrete Instruments
Isaac Loh
In a nonparametric instrumental regression model, we strengthen the conventional moment independence assumption towards full statistical independence between instrument and error t…