257 citations · 274 across the 12 of their papers we have counts for
13 papers
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…
On the Foundations of the Design-Based Approach
P. M. Aronow, Austin Jang, Molly Offer-Westort
The design-based paradigm may be adopted in causal inference and survey sampling when we assume Rubin's stable unit treatment value assumption (SUTVA) or impose similar frameworks.…
Data-NoMAD: A Tool for Boosting Confidence in the Integrity of Social Science Survey Data
Sanford C. Gordon, Cyrus Samii, Zhihao Su
To safeguard against data fabrication and enhance trust in quantitative social science, we present Data Non-Manipulation Authentication Digest (Data-NoMAD). Data-NoMAD is a tool th…
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…
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…
Inference in Spatial Experiments with Interference using the SpatialEffect Package
Cyrus Samii, Ye Wang, Jonathan Sullivan +1
This paper presents methods for analyzing spatial experiments when complex spillovers, displacement effects, and other types of "interference" are present. We present a robust, des…
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…
Spillover Effects in Experimental Data
Peter M. Aronow, Dean Eckles, Cyrus Samii +1
We present current methods for estimating treatment effects and spillover effects under "interference", a term which covers a broad class of situations in which a unit's outcome de…
From Local to Global: External Validity in a Fertility Natural Experiment
Rajeev Dehejia, Cristian Pop-Eleches, Cyrus Samii
We study issues related to external validity for treatment effects using over 100 replications of the Angrist and Evans (1998) natural experiment on the effects of sibling sex comp…
Evaluating Ex Ante Counterfactual Predictions Using Ex Post Causal Inference
Michael Gechter, Cyrus Samii, Rajeev Dehejia +1
We derive a formal, decision-based method for comparing the performance of counterfactual treatment regime predictions using the results of experiments that give relevant informati…
Retrospective Causal Inference with Machine Learning Ensembles: An Application to Anti-Recidivism Policies in Colombia
Cyrus Samii, Laura Paler, Sarah Zukerman Daly
We present new methods to estimate causal effects retrospectively from micro data with the assistance of a machine learning ensemble. This approach overcomes two important limitati…
Cluster-Robust Variance Estimation for Dyadic Data
Peter M. Aronow, Cyrus Samii, Valentina A. Assenova
Dyadic data are common in the social sciences, although inference for such settings involves accounting for a complex clustering structure. Many analyses in the social sciences fai…
Estimating Average Causal Effects Under General Interference, with Application to a Social Network Experiment
Peter M. Aronow, Cyrus Samii
This paper presents a randomization-based framework for estimating causal effects under interference between units, motivated by challenges that arise in analyzing experiments on s…