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10/11/2022
Causal and counterfactual views of missing data models
It is often said that the fundamental problem of causal inference is a m...
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04/21/2022
Structural Nested Mean Models Under Parallel Trends Assumptions
In this paper, we generalize methods in the Difference in Differences (D...
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08/02/2020
Double-robust and efficient methods for estimating the causal effects of a binary treatment
We consider the problem of estimating the effects of a binary treatment ...
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08/22/2018
Doubly Robust Regression Analysis for Data Fusion
This paper investigates the problem of making inference about a parametr...
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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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07/30/2016
