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07/25/2023
Source Condition Double Robust Inference on Functionals of Inverse Problems
We consider estimation of parameters defined as linear functionals of so...
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02/10/2023
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness
In this paper, we study nonparametric estimation of instrumental variabl...
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12/26/2021
Omitted Variable Bias in Machine Learned Causal Models
We derive general, yet simple, sharp bounds on the size of the omitted v...
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12/30/2020
Adversarial Estimation of Riesz Representers
We provide an adversarial approach to estimating Riesz representers of l...
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08/24/2019
Inference on weighted average value function in high-dimensional state space
This paper gives a consistent, asymptotically normal estimator of the ex...
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09/15/2018
Control Variables, Discrete Instruments, and Identification of Structural Functions
Control variables provide an important means of controlling for endogene...
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02/23/2018
Double/De-Biased Machine Learning Using Regularized Riesz Representers
We provide adaptive inference methods for linear functionals of sparse l...
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11/06/2017
Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models
This paper introduces two classes of semiparametric triangular systems w...
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01/30/2017
Double/Debiased/Neyman Machine Learning of Treatment Effects
Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, and Newey (2016) prov...
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07/30/2016