4 citations · 6 across the 4 of their papers we have counts for
5 papers
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…
Inference on model parameters with many L-moments
Luis Alvarez, Chang Chiann, Pedro Morettin
This paper studies parameter estimation using L-moments, an alternative to traditional moments with attractive statistical properties. The estimation of model parameters by matchin…
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…
Homophily in preferences or meetings? Identifying and estimating an iterative network formation model
Luis Alvarez, Cristine Pinto, Vladimir Ponczek
Is homophily in social and economic networks driven by a taste for homogeneity (preferences) or by a higher probability of meeting individuals with similar attributes (opportunity)…
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…