2 citations · 2 across the 2 of their papers we have counts for
8 papers
Incremental causal effects: an introduction and review
Matteo Bonvini, Alec McClean, Zach Branson +1
In this chapter, we review the class of causal effects based on incremental propensity scores interventions proposed by Kennedy [2019]. The aim of incremental propensity score inte…
Evaluating A Key Instrumental Variable Assumption Using Randomization Tests
Zach Branson, Luke Keele
Instrumental variable (IV) analyses are becoming common in health services research and epidemiology. Most IV analyses use naturally occurring instruments, such as distance to a ho…
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…