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We introduce new inference procedures for counterfactual and synthetic control methods for policy evaluation.
On the properties of the synthetic control estimator with many periods and many controls
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Prediction intervals for synthetic control methods
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Permutation tests in change point analysis
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Semiparametric arx neural-network models with an application to forecasting inflation
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The economic costs of conflict: A case study of the basque country
Abadie, A. and Gardeazabal, J. (2003) · 2003
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Inferential theory for factor models of large dimensions
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Testing statistical hypotheses
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Vovk, V., Gammerman, A., and Shafer, G. (2005) · 2005
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Regularization and variable selection via the elastic net
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Measure Theory and Probability Theory
Athreya, K. B. and Lahiri, S. N. (2006) · 2006
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Estimation and inference in large heterogeneous panels with a multifactor error structure
Pesaran, M. H. (2006) · 2006
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Introduction to empirical processes and semiparametric inference
Kosorok, M. R. (2007) · 2007
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Self-normalized processes: Limit theory and Statistical Applications
Peña, V. H., Lai, T. L., and Shao, Q.-M. (2008) · 2008
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Panel data models with interactive fixed effects
Bai, J. (2009) · 2009
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Exact matrix completion via convex optimization
Candès, E. J. and Recht, B. (2009) · 2009
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Synthetic control method versus standard statistic techniques: a comparison for labor market reforms
Valero, R. (2015) · 2015
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Policy evaluation with interactive fixed effects
Chan, M. and Kwok, S. (2016) · 2016
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Self-normalized cramér-type moderate deviations under dependence
Chen, X., Shao, Q.-M., Wu, W. B., and Xu, L. (2016) · 2016
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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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Regional policy evaluation: Interactive fixed effects and synthetic controls
Gobillon, L. and Magnac, T. (2016) · 2016
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Chapter 8 - dynamic factor models, factor-augmented vector autoregressions, and structural vector autoregressions in macroeconomics
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On-line predictive linear regression
Vovk, V., Nouretdinov, I., and Gammerman, A. (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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Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization
Recht, B., Fazel, M., and Parrilo, P. A. (2010) · 2010
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Introduction to the non-asymptotic analysis of random matrices
Vershynin, R. (2010) · 2010
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Rate minimaxity of the lasso and dantzig selector for the ℓ q \ell_{q} loss in ℓ r \ell_{r} balls
Ye, F. and Zhang, C.-H. (2010) · 2010
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Tight oracle inequalities for low-rank matrix recovery from a minimal number of noisy random measurements
Candès, E. J. and Plan, Y. (2011) · 2011
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Stock, J. and Watson, M. (2016) · 2016
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A lava attack on the recovery of sums of dense and sparse signals
Chernozhukov, V., Hansen, C., and Liao, Y. (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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Asymptotic Theory of Weakly Dependent Random Processes
Rio, E. (2017) · 2017
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Generalized synthetic control method: Causal inference with interactive fixed effects models
Xu, Y. (2017) · 2017
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Robust synthetic control
Amjad, M., Shah, D., and Shen, D. (2018) · 2018
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Synthetic difference in differences
Arkhangelsky, D., Athey, S., Hirshberg, D. A., Imbens, G. W., and Wager, S. (2018) · 2018
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Matrix completion methods for causal panel data models
Athey, S., Bayati, M., Doudchenko, N., Imbens, G., and Khosravi, K. (2018) · 2018
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The augmented synthetic control method
Ben-Michael, E., Feller, A., and Rothstein, J. (2018) · 2018
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Arco: An artificial counterfactual approach for high-dimensional panel time-series data
Carvalho, C., Masini, R., and Medeiros, M. C. (2018) · 2018
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Exact and robust conformal inference methods for predictive machine learning with dependent data
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Decriminalizing indoor prostitution: Implications for sexual violence and public health
Cunningham, S. and Shah, M. (2018) · 2018
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Synthetic control method: Inference, sensitivity analysis and confidence sets
Firpo, S. and Possebom, V. (2018) · 2018
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Distribution-free predictive inference for regression
Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J., and Wasserman, L. (2018) · 2018
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Inference for factor model based average treatment effects
Li, K. (2018) · 2018
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High-dimensional probability: An introduction with applications in data science
Vershynin, R. (2018) · 2018
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Using synthetic controls: Feasibility, data requirements, and methodological aspects
Abadie, A. (2019) · 2019
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Practical and robust t-test based inference for synthetic control and related methods
Chernozhukov, V., Wuthrich, K., and Zhu, Y. (2019) · 2019
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The factor-lasso and k-step bootstrap approach for inference in high-dimensional economic applications
Hansen, C. and Liao, Y. (2019) · 2019
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R: A Language and Environment for Statistical Computing
R Core Team (2020) · 2020
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Statistical inference for average treatment effects estimated by synthetic control methods
Li, K. T. (2020) · 2083
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