502 citations · 522 across the 5 of their papers we have counts for
5 papers
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie +5
We investigate the optimal design of experimental studies that have pre-treatment outcome data available. The average treatment effect is estimated as the difference between the we…
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics
Guido W. Imbens
In this essay I discuss potential outcome and graphical approaches to causality, and their relevance for empirical work in economics. I review some of the work on directed acyclic…
Matrix Completion Methods for Causal Panel Data Models
Susan Athey, Mohsen Bayati, Nikolay Doudchenko +2
In this paper we study methods for estimating causal effects in settings with panel data, where some units are exposed to a treatment during some periods and the goal is estimating…
Sampling-based vs. Design-based Uncertainty in Regression Analysis
Alberto Abadie, Susan Athey, Guido W. Imbens +1
Consider a researcher estimating the parameters of a regression function based on data for all 50 states in the United States or on data for all visits to a website. What is the in…
Exact P-values for Network Interference
Susan Athey, Dean Eckles, Guido Imbens
We study the calculation of exact p-values for a large class of non-sharp null hypotheses about treatment effects in a setting with data from experiments involving members of a sin…