9 citations · 11 across the 8 of their papers we have counts for
10 papers · 1 filter
Difference-in-differences with "bad controls"
Carolina Caetano, Brantly Callaway, Stroud Payne +1
This paper considers difference-in-differences identification strategies when the parallel trends assumption holds after conditioning on covariates that may themselves be affected…
Beyond Parallel Trends: An Identification-Strategy-Robust Approach to Causal Inference with Panel Data
Brantly Callaway, Derek Dyal, Pedro H. C. Sant'Anna +1
In this paper, we propose a new approach to causal inference with panel data. Instead of using panel data to adjust for differences in the distribution of unobserved heterogeneity…
Causal Inference for Aggregated Treatment
Carolina Caetano, Gregorio Caetano, Brantly Callaway +1
In this paper, we study causal inference when the treatment variable is an aggregation of multiple sub-treatment variables. Researchers often report marginal causal effects for the…
Difference-in-Differences Designs: A Practitioner's Guide
Andrew Baker, Brantly Callaway, Scott Cunningham +2
Difference-in-differences (DiD) is arguably the most popular quasi-experimental research design. Its canonical form, with two groups and two periods, is well-understood. However, e…
Testing the effects of an unobservable factor: Do marriage prospects affect college major choice?
Hayri Alper Arslan, Brantly Callaway, Tong Li
This paper develops an econometric test for whether an unobservable factor jointly influences a choice among multiple alternatives and a subsequent binary outcome. Because only tra…
Difference-in-Differences when Parallel Trends Holds Conditional on Covariates
Carolina Caetano, Brantly Callaway
We consider difference-in-differences identification and estimation strategies when the parallel trends assumption holds conditional on covariates, which can be time-varying, time-…