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We propose a practical and robust method for making inferences on average treatment effects estimated by synthetic controls.
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Hastie, T., Tibshirani, R., and Friedman, J. (2009) · 2009
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Synthetic control methods for comparative case studies: Estimating the effect of Californias tobacco control program
Abadie, A., Diamond, A., and Hainmueller, J. (2010) · 2010
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t-Statistic based correlation and heterogeneity robust inference
Ibragimov, R. and Müller, U. K. (2010) · 2010
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Efficient semiparametric estimation of the Fama–French model and extensions
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On confidence intervals for autoregressive roots and predictive regression
Phillips, P. C. (2014) · 2014
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Comparative politics and the synthetic control method
Abadie, A., Diamond, A., and Hainmueller, J. (2015) · 2015
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Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
Imbens, G. W. and Rubin, D. B. (2015) · 2015
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A design-based perspective on synthetic control methods
Bottmer, L., Imbens, G., Spiess, J., and Warnick, M. (2021) · 2021
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Prediction intervals for synthetic control methods
Cattaneo, M. D., Feng, Y., and Titiunik, R. (2021) · 2021
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An exact and robust conformal inference method for counterfactual and synthetic controls
Chernozhukov, V., Wüthrich, K., and Zhu, Y. (2021) · 2021
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Augmented factor models with applications to validating market risk factors and forecasting bond risk premia
Fan, J., Ke, Y., and Liao, Y. (2021) · 2021
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On the properties of the synthetic control estimator with many periods and many controls
Ferman, B. (2021) · 2021
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Synthetic controls with imperfect pretreatment fit
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Pinotti, P. (2015) · 2015
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Balancing, regression, difference-in-differences and synthetic control methods: A synthesis
Doudchenko, N. and Imbens, G. W. (2016) · 2016
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Projected principal component analysis in factor models
Fan, J., Liao, Y., and Wang, W. (2016) · 2016
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Randomization tests under an approximate symmetry assumption
Canay, I. A., Romano, J. P., and Shaikh, A. M. (2017) · 2017
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Synthetic control and inference
Hahn, J. and Shi, R. (2017) · 2017
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Estimation of average treatment effects with panel data: Asymptotic theory and implementation
Li, K. T. and Bell, D. R. (2017) · 2017
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Robust confidence intervals for average treatment effects under limited overlap
Rothe, C. (2017) · 2017
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Ferman, B. and Pinto, C. (2021) · 2021
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Combining matching and synthetic control to tradeoff biases from extrapolation and interpolation
Kellogg, M., Mogstad, M., Pouliot, G. A., and Torgovitsky, A. (2021) · 2021
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Counterfactual analysis with artificial controls: Inference, high dimensions, and nonstationarity
Masini, R. and Medeiros, M. C. (2021) · 2021
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Randomization tests in observational studies with staggered adoption of treatment
Shaikh, A. M. and Toulis, P. (2021) · 2021
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Synthetic controls with staggered adoption
Ben-Michael, E., Feller, A., and Rothstein, J. (2022) · 2022
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A t t -test for synthetic controls
Chernozhukov, V., Wuthrich, K., and Zhu, Y. (2022) · 2022
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The labor market impacts of universal and permanent cash transfers: Evidence from the Alaska Permanent Fund
Jones, D. and Marinescu, I. (2022) · 2022
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Standard synthetic control methods: The case of using all preintervention outcomes together with covariates
Kaul, A., Klößner, S., Pfeifer, G., and Schieler, M. (2022) · 2022
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Asymptotic properties of the synthetic control method
Zhang, X., Wang, W., and Zhang, X. (2022) · 2022
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Replication package for: Carbon taxes and CO2 emissions: Sweden as a case study
Andersson, J. J. (2019b) · 2023
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Large-sample properties of the synthetic control method under selection on unobservables
Arkhangelsky, D. and Hirshberg, D. (2023) · 2023
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Uncertainty quantification in synthetic controls with staggered treatment adoption
Cattaneo, M. D., Feng, Y., Palomba, F., and Titiunik, R. (2023) · 2023
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Ghanem, D., Sant’Anna, P. H. C., and Wüthrich, K. (2023) · 2023
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synthdid: Synthetic Difference-in-Difference Estimation
Hirshberg, D. (2023) · 2023
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Identification and inference for synthetic controls with confounding
Imbens, G. W. and Viviano, D. (2023) · 2023
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R: A Language and Environment for Statistical Computing
R Core Team (2023) · 2023
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disco: Distributional synthetic controls
Gunsilius, F. and Van Dijcke, D. (2025) · 2025
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Statistical inference for average treatment effects estimated by synthetic control methods
Li, K. T. (2020) · 2083
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Heteroskedasticity-autocorrelation robust standard errors using the Bartlett kernel without truncation
Kiefer, N. M. and Vogelsang, T. J. (2002a) · 2095
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