Difference-in-differences with multiple time periods

DOI10.1016/j.jeconom.2020.12.001OpenAlexW3121948532MaRDI QIDQ2236892

Brantly Callaway, Pedro H. C. Sant'Anna

Publication date: 26 October 2021

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.09015

zbMATH Keywords

event studydynamic treatment effectssemi-parametricdoubly robustdifference-in-differencestreatment effect heterogeneityvariation in treatment timing

Mathematics Subject Classification ID

Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)

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Uses Software

• DRDID

Cites Work

• Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods
• Doubly robust difference-in-differences estimators
• Specification tests for the propensity score
• Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables
• Inverse probability weighted estimation for general missing data problems
• The semiparametric efficiency bound for models of sequential moment restrictions containing unknown functions
• For objective causal inference, design trumps analysis
• Addendum to ``A new approach to causal inference in mortality studies with a sustained exposure period. Application to control of the healthy worker survivor effect
• Uniform confidence bands: characterization and optimality
• Weak convergence and empirical processes. With applications to statistics
• Estimation of panel data models with binary indicators when treatment effects are not constant over time
• The cluster bootstrap consistency in generalized estimating equations
• Randomization inference for difference-in-differences with few treated clusters
• Bootstrap and wild bootstrap for high dimensional linear models
• Semiparametric efficiency in GMM models with auxiliary data
• Introduction to empirical processes and semiparametric inference
• Average and Quantile Effects in Nonseparable Panel Models
• Semiparametric Difference-in-Differences Estimators
• Irregular Identification, Support Conditions, and Inverse Weight Estimation
• VIOLATING IGNORABILITY OF TREATMENT BY CONTROLLING FOR TOO MANY FACTORS
• Empirical-Likelihood-Based Difference-in-Differences Estimators
• Dealing with limited overlap in estimation of average treatment effects
• Asymptotic Statistics
• The Asymptotic Variance of Semiparametric Estimators
• Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
• A comparison between bootstrap methods and generalized estimating equations for correlated outcomes in generalized linear models
• Marginal Mean Models for Dynamic Regimes
• How Much Should We Trust Differences-In-Differences Estimates?
• Characterizing Selection Bias Using Experimental Data
• Inverse Probability Tilting for Moment Condition Models with Missing Data
• Fuzzy Differences-in-Differences
• Program Evaluation and Causal Inference With High-Dimensional Data
• The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages
• Optimal Dynamic Treatment Regimes
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• The wild bootstrap for few (treated) clusters
• Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores
• The Nonparametric Identification of Treatment Effects in Duration Models
• Estimation of Semiparametric Models when the Criterion Function Is Not Smooth
• Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions
• Identification and Inference in Nonlinear Difference-in-Differences Models
• Dynamic treatment effects