Guido Imbens | DeepAI

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Featured Co-authors

Nathan Kallus
88 publications
Vahab Mirrokni
84 publications
Stefan Wager
51 publications
Yuhao Wang
51 publications
Susan Athey
41 publications
Zhengyuan Zhou
39 publications
Hyunseung Kang
20 publications
Anish Agarwal
20 publications
Xiaojie Mao
18 publications
Mohsen Bayati
14 publications
Ruoxuan Xiong
13 publications

∙ 06/21/2023

Estimating the Value of Evidence-Based Decision Making

Business/policy decisions are often based on evidence from randomized ex...

0 Alberto Abadie, et al. ∙

∙ 05/01/2023

Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control

Motivated by a recent literature on the double-descent phenomenon in mac...

0 Jann Spiess, et al. ∙

∙ 02/15/2022

Long-term Causal Inference Under Persistent Confounding via Data Combination

We study the identification and estimation of long-term treatment effect...

0 Guido Imbens, et al. ∙

∙ 12/09/2021

Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations

The ability to generalize experimental results from randomized control t...

0 Xinkun Nie, et al. ∙

∙ 12/01/2021

Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls

We investigate the optimal design of experimental studies that have pre-...

0 Nick Doudchenko, et al. ∙

∙ 08/09/2021

Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models

We develop a new approach for identifying and estimating average causal ...

0 Guido Imbens, et al. ∙

∙ 07/26/2021

Efficient Treatment Effect Estimation in Observational Studies under Heterogeneous Partial Interference

In many observational studies in social science and medical applications...

0 Zhaonan Qu, et al. ∙

∙ 01/23/2021

A Design-Based Perspective on Synthetic Control Methods

Since their introduction in Abadie and Gardeazabal (2003), Synthetic Con...

0 Lea Bottmer, et al. ∙

∙ 06/17/2020

Combining Experimental and Observational Data to Estimate Treatment Effects on Long Term Outcomes

There has been an increase in interest in experimental evaluations to es...

0 Susan Athey, et al. ∙

∙ 02/04/2020

Decoupling Learning Rates Using Empirical Bayes Priors

In this work, we propose an Empirical Bayes approach to decouple the lea...

0 Sareh Nabi, et al. ∙

∙ 11/09/2019

Optimal Experimental Design for Staggered Rollouts

Experimentation has become an increasingly prevalent tool for guiding po...

60 Ruoxuan Xiong, et al. ∙

∙ 09/05/2019

Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations

Researchers often use artificial data to assess the performance of new e...

0 Susan Athey, et al. ∙

∙ 03/24/2019

Machine Learning Methods Economists Should Know About

We discuss the relevance of the recent Machine Learning (ML) literature ...

0 Susan Athey, et al. ∙

∙ 12/15/2018

Balanced Linear Contextual Bandits

Contextual bandit algorithms are sensitive to the estimation method of t...

0 Maria Dimakopoulou, et al. ∙

∙ 08/15/2018

Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption

In this paper we study estimation of and inference for average treatment...

0 Susan Athey, et al. ∙

∙ 07/08/2018

A Causal Bootstrap

The bootstrap, introduced by Efron (1982), has become a very popular met...

0 Guido Imbens, et al. ∙

∙ 07/05/2018

The Role of the Propensity Score in Fixed Effect Models

We develop a new approach for estimating average treatment effects in th...

0 Dmitry Arkhangelsky, et al. ∙

∙ 11/19/2017

Estimation Considerations in Contextual Bandits

Contextual bandit algorithms seek to learn a personalized treatment assi...

0 Maria Dimakopoulou, et al. ∙

∙ 10/27/2017

Matrix Completion Methods for Causal Panel Data Models

In this paper we develop new methods for estimating causal effects in se...

0 Susan Athey, et al. ∙

∙ 03/30/2016

Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index

Estimating the long-term effects of treatments is of interest in many fi...

0 Susan Athey, et al. ∙

∙ 04/05/2015

Recursive Partitioning for Heterogeneous Causal Effects

In this paper we study the problems of estimating heterogeneity in causa...

0 Susan Athey, et al. ∙

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