activity
20202026
most citedA Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data

63 citations · 70 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2026

Inference for Group Interaction Experiments

Jiawei Fu, Cyrus Samii, Ye Wang

A common experimental research design is one in which individuals are randomly allocated into groups that then interact under different group-level treatment conditions. We develop…

stat.ME2023

Generalizing Trimming Bounds for Endogenously Missing Outcome Data Using Random Forests

Cyrus Samii, Ye Wang, Junlong Aaron Zhou

In many experimental or quasi-experimental studies, outcomes of interest are only observed for subjects who select (or are selected) to engage in the activity generating the outcom…

stat.ME2021★ 63 cited

A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data

Licheng Liu, Ye Wang, Yiqing Xu

This paper introduces a simple framework of counterfactual estimation for causal inference with time-series cross-sectional data, in which we estimate the average treatment effect…

stat.AP2021

How to Account for Alternatives When Comparing Effects: Revisiting 'Bringing Education to Afghan Girls'

Dana Burde, Joel Middleton, Cyrus Samii +1

This paper uses a "principal strata" approach to decompose treatment effects and interpret why a schooling intervention that yielded exceptional initial effects yielded substantial…

stat.ME2020★ 7 cited

Design-Based Inference for Spatial Experiments under Unknown Interference

Ye Wang, Cyrus Samii, Haoge Chang +1

We consider design-based causal inference for spatial experiments in which treatments may have effects that bleed out and feed back in complex ways. Such spatial spillover effects…