research
∙
07/25/2023
Source Condition Double Robust Inference on Functionals of Inverse Problems
We consider estimation of parameters defined as linear functionals of so...
share
research
∙
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...
research
∙
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...
research
∙
12/30/2020
Adversarial Estimation of Riesz Representers
We provide an adversarial approach to estimating Riesz representers of l...
research
∙
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...
research
∙
09/15/2018
Control Variables, Discrete Instruments, and Identification of Structural Functions
Control variables provide an important means of controlling for endogene...
research
∙
02/23/2018
Double/De-Biased Machine Learning Using Regularized Riesz Representers
We provide adaptive inference methods for linear functionals of sparse l...
research
∙
11/06/2017
Semiparametric Estimation of Structural Functions in Nonseparable Triangular Models
This paper introduces two classes of semiparametric triangular systems w...
research
∙
01/30/2017
Double/Debiased/Neyman Machine Learning of Treatment Effects
Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, and Newey (2016) prov...
research
∙
07/30/2016
