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Brantly Callaway
Researcher at University of Georgia
Publications - 32
Citations - 2071
Brantly Callaway is an academic researcher from University of Georgia. The author has contributed to research in topics: Quantile & Difference in differences. The author has an hindex of 8, co-authored 29 publications receiving 439 citations. Previous affiliations of Brantly Callaway include University of Mississippi & Temple University.
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Difference-in-Differences with multiple time periods
TL;DR: It is shown that a family of causal effect parameters are identified in staggered DiD setups, even if differences in observed characteristics create non-parallel outcome dynamics between groups, and the asymptotic properties of the proposed estimators are established.
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Difference-in-Differences with Multiple Time Periods
TL;DR: In this paper, the authors consider identification, estimation, and inference procedures for treatment effect parameters using Difference-in-Differences (DiD) with multiple time periods, variation in treatment timing, and when the "parallel trends assumption" holds potentially only after conditioning on observed covariates.
Journal ArticleDOI
Difference-in-Differences with Multiple Time Periods
TL;DR: This article considers identification and estimation of treatment effect parameters using DID with (i) multiple time periods, (ii) variation in treatment timing, and (iii) when the "parallel trends assumption" holds potentially only after conditioning on observed covariates.
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Difference-in-Differences with Multiple Time Periods and an Application on the Minimum Wage and Employment
TL;DR: In this paper, the authors proposed a simple two-step estimation strategy, established the asymptotic prop- erties of the proposed estimators, and proved the validity of a computationally convenient bootstrap procedure.
Journal ArticleDOI
Quantile treatment effects in difference in differences models with panel data
Brantly Callaway,Tong Li +1 more
TL;DR: In this article, a new Copula Stability Assumption was proposed to estimate the effect of increasing the minimum wage on quantiles of local labor markets' unemployment rates and find significant heterogeneity.