35 citations · 43 across the 7 of their papers we have counts for
8 papers
Post-Matching Two-Way Fixed Effects Estimation
Yihong Liu, Gonzalo Vazquez-Bare
When estimating treatment effects with two-way fixed effects (2WFE) models, researchers often use matching as a pre-processing step when the parallel trends assumption is thought t…
Difference-in-Differences Estimators with Continuous Treatments and no Stayers
Clément de Chaisemartin, Xavier D'Haultfœuille, Gonzalo Vazquez-Bare
Many treatments or policy interventions are continuous in nature. Examples include prices, taxes or temperatures. Empirical researchers have usually relied on two-way fixed effect…
Difference-in-Differences Estimators for Treatments Continuously Distributed at Every Period
Clément de Chaisemartin, Xavier D'Haultfœuille, Félix Pasquier +2
When studying the effects of taxes, tariffs, or prices using panel data, the treatment is often continuously distributed in every period. We develop difference-in-differences (DID)…
Causal Spillover Effects Using Instrumental Variables
Gonzalo Vazquez-Bare
I set up a potential outcomes framework to analyze spillover effects using instrumental variables. I characterize the population compliance types in a setting in which spillovers c…
Analysis of Regression Discontinuity Designs with Multiple Cutoffs or Multiple Scores
Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
We introduce the \texttt{Stata} (and \texttt{R}) package \texttt{rdmulti}, which includes three commands (\texttt{rdmc}, \texttt{rdmcplot}, \texttt{rdms}) for analyzing Regression…
The Regression Discontinuity Design
Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
This handbook chapter gives an introduction to the sharp regression discontinuity design, covering identification, estimation, inference, and falsification methods.
Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs
Matias D. Cattaneo, Luke Keele, Rocio Titiunik +1
In non-experimental settings, the Regression Discontinuity (RD) design is one of the most credible identification strategies for program evaluation and causal inference. However, R…
Identification and Estimation of Spillover Effects in Randomized Experiments
Gonzalo Vazquez-Bare
I study identification, estimation and inference for spillover effects in experiments where units' outcomes may depend on the treatment assignments of other units within a group. I…