5 citations · 10 across the 7 of their papers we have counts for
4 papers · 1 filter
Assessing Inference Methods
Bruno Ferman
We analyze different types of simulations that applied researchers can use to assess whether their inference methods reliably control false-positive rates. We show that different a…
Synthetic Controls with Imperfect Pre-Treatment Fit
Bruno Ferman, Cristine Pinto
We analyze the properties of the Synthetic Control (SC) and related estimators when the pre-treatment fit is imperfect. In this framework, we show that these estimators are general…
Matching Estimators with Few Treated and Many Control Observations
Bruno Ferman
We analyze the properties of matching estimators when there are few treated, but many control observations. We show that, under standard assumptions, the nearest neighbor matching…
On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls
Bruno Ferman
We consider the asymptotic properties of the Synthetic Control (SC) estimator when both the number of pre-treatment periods and control units are large. If potential outcomes follo…