5 papers
Using Multiple Outcomes to Improve the Synthetic Control Method
Liyang Sun, Eli Ben-Michael, Avi Feller
When there are multiple outcome series of interest, Synthetic Control analyses typically proceed by estimating separate weights for each outcome. In this paper, we instead propose…
Augmented balancing weights as linear regression
David Bruns-Smith, Oliver Dukes, Avi Feller +1
We provide a novel characterization of augmented balancing weights, also known as automatic debiased machine learning (AutoDML). These popular doubly robust or de-biased machine le…
Statistical methods to estimate the impact of gun policy on gun violence
Eli Ben-Michael, Mitchell L. Doucette, Avi Feller +2
Gun violence is a critical public health and safety concern in the United States. There is considerable variability in policy proposals meant to curb gun violence, ranging from inc…
Temporal Aggregation for the Synthetic Control Method
Liyang Sun, Eli Ben-Michael, Avi Feller
The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit with panel data. Two challenges arise with higher frequency data…
Improving the Estimation of Site-Specific Effects and their Distribution in Multisite Trials
JoonHo Lee, Jonathan Che, Sophia Rabe-Hesketh +2
In multisite trials, researchers are often interested in several inferential goals: estimating treatment effects for each site, ranking these effects, and studying their distributi…