Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods

DOI10.1080/01621459.2019.1686986zbMath1453.62330OpenAlexW2986841856WikidataQ126855245 ScholiaQ126855245MaRDI QIDQ5146053

Kathleen T. Li

Publication date: 22 January 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2019.1686986

zbMATH Keywords

inferencesubsamplingsynthetic control methodprojection theory

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Causal inference from observational studies (62D20)

Related Items (14)

Matrix Completion Methods for Causal Panel Data Models ⋮ Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity ⋮ The Augmented Synthetic Control Method ⋮ Randomization Tests in Observational Studies With Staggered Adoption of Treatment ⋮ An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls ⋮ Prediction Intervals for Synthetic Control Methods ⋮ Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction ⋮ Unnamed Item ⋮ Synthetic learner: model-free inference on treatments over time ⋮ Synthetic Control with Time Varying Coefficients A State Space Approach with Bayesian Shrinkage ⋮ Confidence intervals of treatment effects in panel data models with interactive fixed effects ⋮ Bayesian matrix completion approach to causal inference with panel data ⋮ Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models ⋮ Estimation of average treatment effect based on a semiparametric propensity score

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