235 citations · 284 across the 16 of their papers we have counts for
18 papers
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-…
Treatment Effects in Staggered Adoption Designs with Non-Parallel Trends
Brantly Callaway, Emmanuel Selorm Tsyawo
This paper considers identifying and estimating causal effect parameters in a staggered treatment adoption setting -- that is, where a researcher has access to panel data and treat…
Difference-in-Differences for Policy Evaluation
Brantly Callaway
Difference-in-differences is one of the most used identification strategies in empirical work in economics. This chapter reviews a number of important, recent developments related…
Difference in Differences with Time-Varying Covariates
Carolina Caetano, Brantly Callaway, Stroud Payne +1
This paper considers identification and estimation of causal effect parameters from participating in a binary treatment in a difference in differences (DID) setup when the parallel…
Distributional Effects with Two-Sided Measurement Error: An Application to Intergenerational Income Mobility
Brantly Callaway, Tong Li, Irina Murtazashvili +1
This paper considers identification and estimation of distributional effect parameters that depend on the joint distribution of an outcome and another variable of interest ("treatm…
Difference-in-Differences with a Continuous Treatment
Brantly Callaway, Andrew Goodman-Bacon, Pedro H. C. Sant'Anna
This paper analyzes difference-in-differences designs with a continuous treatment. We show that treatment-on-the-treated-type parameters are identified under a parallel trends assu…
Policy Evaluation during a Pandemic
Brantly Callaway, Tong Li
National and local governments have implemented a large number of policies in response to the Covid-19 pandemic. Evaluating the effects of these policies, both on the number of Cov…
Bounds on Distributional Treatment Effect Parameters using Panel Data with an Application on Job Displacement
Brantly Callaway
This paper develops new techniques to bound distributional treatment effect parameters that depend on the joint distribution of potential outcomes -- an object not identified by st…
Treatment Effects in Interactive Fixed Effects Models with a Small Number of Time Periods
Brantly Callaway, Sonia Karami
This paper considers identifying and estimating the Average Treatment Effect on the Treated (ATT) when untreated potential outcomes are generated by an interactive fixed effects mo…
Heterogeneous Effects of Job Displacement on Earnings
Afrouz Azadikhah Jahromi, Brantly Callaway
This paper considers how the effect of job displacement varies across different individuals. In particular, our interest centers on features of the distribution of the individual-l…
Evaluating Policies Early in a Pandemic: Bounding Policy Effects with Nonrandomly Missing Data
Brantly Callaway, Tong Li
During the early part of the Covid-19 pandemic, national and local governments introduced a number of policies to combat the spread of Covid-19. In this paper, we propose a new app…
Difference-in-Differences with Multiple Time Periods
Brantly Callaway, Pedro H. C. Sant'Anna
In this article, we consider identification, estimation, and inference procedures for treatment effect parameters using Difference-in-Differences (DiD) with (i) multiple time perio…
Quantile Treatment Effects in Difference in Differences Models under Dependence Restrictions and with only Two Time Periods
Brantly Callaway, Tong Li, Tatsushi Oka
This paper shows that the Conditional Quantile Treatment Effect on the Treated can be identified using a combination of (i) a conditional Distributional Difference in Differences a…