scientific article; zbMATH DE number 6982313

zbMath1445.62113arXiv1711.06940MaRDI QIDQ4558163

Dennis Shen, Devavrat Shah, Muhammad Amjad

Publication date: 21 November 2018

Full work available at URL: https://arxiv.org/abs/1711.06940

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zbMATH Keywords

causal inferencematrix estimationobservation studiesrobust synthetic control

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Estimation in multivariate analysis (62H12) Nonparametric robustness (62G35) Causal inference from observational studies (62D20)

Related Items (16)

Matrix Completion Methods for Causal Panel Data Models ⋮ On Robustness of Principal Component Regression ⋮ Counterfactual Analysis With Artificial Controls: Inference, High Dimensions, and Nonstationarity ⋮ The Augmented Synthetic Control Method ⋮ A Penalized Synthetic Control Estimator for Disaggregated Data ⋮ 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 ⋮ Linear panel regressions with two-way unobserved heterogeneity ⋮ 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 ⋮ Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data ⋮ Assessing the causal effect of binary interventions from observational panel data with few treated units ⋮ Confident Learning: Estimating Uncertainty in Dataset Labels

Uses Software

• softImpute
• CausalImpact
• Synth
• PRMLT

Cites Work

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• Inferring causal impact using Bayesian structural time-series models
• Estimation of average treatment effects with panel data: asymptotic theory and implementation
• Representations for partially exchangeable arrays of random variables
• Panel data approach vs synthetic control method
• Matrix estimation by universal singular value thresholding
• Exact matrix completion via convex optimization
• Analysis of Panel Data

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