5 citations · 10 across the 7 of their papers we have counts for
9 papers
Almost every Boolean function has central threshold degree
Martin Anthony
The polynomial threshold degree (or threshold degree) of a Boolean function is the least degree of a real polynomial whose sign represents it. We prove that almost every Boolean fu…
Dynamic LATEs with a Static Instrument
Bruno Ferman, Otávio Tecchio
In many situations, researchers are interested in identifying dynamic effects of an irreversible treatment with a time-invariant binary instrumental variable (IV). For example, in…
Extensions for Inference in Difference-in-Differences with Few Treated Clusters
Luis Alvarez, Bruno Ferman
In settings with few treated units, Difference-in-Differences (DID) estimators are not consistent, and are not generally asymptotically normal. This poses relevant challenges for i…
Randomization Inference Tests for Shift-Share Designs
Luis Alvarez, Bruno Ferman, Raoni Oliveira
We consider the problem of inference in shift-share research designs. The choice between existing approaches that allow for unrestricted spatial correlation involves tradeoffs, var…
Inference in Difference-in-Differences with Few Treated Units and Spatial Correlation
Luis Alvarez, Bruno Ferman
We consider the problem of inference in Difference-in-Differences (DID) when there are few treated units and errors are spatially correlated. We first show that, when there is a si…
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…