4 citations · 12 across the 9 of their papers we have counts for
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The Local Randomization Framework for Regression Discontinuity Designs: A Review and Some Extensions
Zach Branson, Fabrizia Mealli
Regression discontinuity designs (RDDs) are a common quasi-experiment in economics and statistics. The most popular methodologies for analyzing RDDs utilize continuity-based assump…
Ridge Rerandomization: An Experimental Design Strategy in the Presence of Collinearity
Zach Branson, Stephane Shao
Randomization ensures that observed and unobserved covariates are balanced, on average. However, randomizing units to treatment and control often leads to covariate imbalances in r…
Sampling-based randomized designs for causal inference under the potential outcomes framework
Zach Branson, Tirthankar Dasgupta
We establish the inferential properties of the mean-difference estimator for the average treatment effect in randomized experiments where each unit in a population is randomized to…
A Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs: Do School Districts Affect NYC House Prices?
Maxime Rischard, Zach Branson, Luke Miratrix +1
Most research on regression discontinuity designs (RDDs) has focused on univariate cases, where only those units with a "forcing" variable on one side of a threshold value receive…
Randomization Tests to Assess Covariate Balance When Designing and Analyzing Matched Datasets
Zach Branson
Causal analyses for observational studies are often complicated by covariate imbalances among treatment groups, and matching methodologies alleviate this complication by finding su…
Randomization Tests that Condition on Non-Categorical Covariate Balance
Zach Branson, Luke Miratrix
A benefit of randomized experiments is that covariate distributions of treatment and control groups are balanced on average, resulting in simple unbiased estimators for treatment e…