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On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls

Citations

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Cited by:

  1. Ignacio Martinez & Jaume Vives-i-Bastida, 2022. "Bayesian and Frequentist Inference for Synthetic Controls," Papers 2206.01779, arXiv.org, revised Jul 2024.
  2. Ferman, Bruno, 2021. "Matching estimators with few treated and many control observations," Journal of Econometrics, Elsevier, vol. 225(2), pages 295-307.
  3. Joseph Fry, 2023. "A Method of Moments Approach to Asymptotically Unbiased Synthetic Controls," Papers 2312.01209, arXiv.org, revised Mar 2024.
  4. Alberto Abadie & Jinglong Zhao, 2021. "Synthetic Controls for Experimental Design," Papers 2108.02196, arXiv.org, revised Apr 2025.
  5. Breitung, Jörg & Bolwin, Lennart & Töns, Justus, 2024. "Alternative approaches for estimation and inference in synthetic control designs," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302344, Verein für Socialpolitik / German Economic Association.
  6. Xiaomeng Zhang & Wendun Wang & Xinyu Zhang, 2022. "Asymptotic Properties of the Synthetic Control Method," Papers 2211.12095, arXiv.org.
  7. Yiping Lu & Jiajin Li & Lexing Ying & Jose Blanchet, 2022. "Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls," Papers 2211.15241, arXiv.org.
  8. Tzvetan Moev, 2025. "Correlated Synthetic Controls," Papers 2507.08918, arXiv.org.
  9. David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
  10. González-Rozada, Martín & Ruffo, Hernán, 2024. "Do trade agreements contribute to the decline in labor share? Evidence from Latin American countries," World Development, Elsevier, vol. 177(C).
  11. Alberto Abadie & Jaume Vives-i-Bastida, 2022. "Synthetic Controls in Action," Papers 2203.06279, arXiv.org.
  12. Guido Imbens & Nathan Kallus & Xiaojie Mao, 2021. "Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models," Papers 2108.03849, arXiv.org.
  13. Bruno Ferman & Cristine Pinto, 2021. "Synthetic controls with imperfect pretreatment fit," Quantitative Economics, Econometric Society, vol. 12(4), pages 1197-1221, November.
  14. Lu Zhang & Xiaomeng Zhang & Xinyu Zhang, 2024. "Asymptotic Properties of the Distributional Synthetic Controls," Papers 2405.00953, arXiv.org, revised Aug 2024.
  15. Zhentao Shi & Yishu Wang, 2025. "L2-relaxation for Economic Prediction," Papers 2510.12183, arXiv.org.
  16. Absher, Samuel & Grier, Robin & Grier, Kevin, 2023. "The consequences of CIA-sponsored regime change in Latin America," European Journal of Political Economy, Elsevier, vol. 80(C).
  17. Luis Alvarez & Bruno Ferman & Kaspar Wuthrich, 2025. "Inference with few treated units," Papers 2504.19841, arXiv.org, revised Jun 2025.
  18. Luis A. F. Alvarez & Bruno Ferman, 2024. "On “Imputation of Counterfactual Outcomes when the Errors are Predictable”: Discussions on Misspecification and Suggestions of Sensitivity Analyses," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(4), pages 1123-1127, October.
  19. Fry, Joseph, 2024. "A method of moments approach to asymptotically unbiased Synthetic Controls," Journal of Econometrics, Elsevier, vol. 244(1).
  20. Chen, Qiang & Xiao, Zhijie & Yao, Qingsong, 2025. "Quantile control via random forest," Journal of Econometrics, Elsevier, vol. 249(PA).
  21. Wei Tian & Seojeong Lee & Valentyn Panchenko, 2023. "Synthetic Controls with Multiple Outcomes," Papers 2304.02272, arXiv.org, revised Jul 2024.
  22. Luis Alvarez & Bruno Ferman, 2023. "Extensions for Inference in Difference-in-Differences with Few Treated Clusters," Papers 2302.03131, arXiv.org.
  23. Timo Schenk, 2023. "Time-Weighted Difference-in-Differences: Accounting for Common Factors in Short T Panels," Tinbergen Institute Discussion Papers 23-004/III, Tinbergen Institute.
  24. Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
  25. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
  26. Chengwang Liao & Zhentao Shi & Yapeng Zheng, 2025. "A Relaxation Approach to Synthetic Control," Papers 2508.01793, arXiv.org.
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