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Shen, Zikai, Song, Xinkun, and Abadie, Alberto. “Efficiently Learning Synthetic Control Models for High-dimensional Disaggregated Data.” arXiv Working Paper, 2510.22828, 2025. URL: https://arxiv.org/abs/2510.22828
Cattaneo, Matias D., Feng, Yingjie, Palomba, Filippo, and Titiunik, Rocío. “Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption.” Review of Economics and Statistics (forthcoming); arXiv Working Paper, 2210.05026, 2025. URL: https://arxiv.org/abs/2210.05026
Cao, Jianfei, Lu, Shirley, and Wu, Hang. “Synthetic Control Inference for Staggered Adoption.” The Econometrics Journal (forthcoming), 2026. URL: https://doi.org/10.1093/ectj/utag015
Agarwal, Anish, Choi, Jungjun, and Yuan, Ming. “Robust Matrix Estimation with Side Information.” arXiv Working Paper, 2603.24833, 2026. URL: https://arxiv.org/abs/2603.24833
O’Riordan, Michael, and Gilligan-Lee, Ciarán M. “Spillover Detection for Donor Selection in Synthetic Control Models.” Journal of Causal Inference 13(1):20240036, 2025. URL: https://doi.org/10.1515/jci-2024-0036
Doudchenko, Nick, Khosravi, Khashayar, Pouget-Abadie, Jean, Lahaie, Sebastien, Lubin, Miles, Mirrokni, Vahab, Spiess, Jann, and Imbens, Guido. “Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls.” Advances in Neural Information Processing Systems (NeurIPS), 2021. arXiv:2112.00278. URL: https://arxiv.org/abs/2112.00278
Lu, Yiping, Li, Jiajin, Ying, Lexing, and Blanchet, Jose. “Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls.” arXiv Working Paper, 2211.15241, 2022. URL: https://arxiv.org/abs/2211.15241
Liu, Ziyi, and Xu, Yiqing. “The Harmonic Synthetic Control Method.” Working Paper, 2026.
Ben-Michael, Eli, Feller, Avi, and Rothstein, Jesse. “Synthetic Controls with Staggered Adoption.” Journal of the Royal Statistical Society: Series B, 84(2): 351-381, 2022. DOI: https://doi.org/10.1111/rssb.12448
Gulek, Atilla, and Vives-i-Bastida, Jaume. “Synthetic IV Estimation in Panels.” Working Paper, 2024.
Rho, Saeyoung, Illick, Cyrus, Narasipura, Samhitha, Abadie, Alberto, Hsu, Daniel, and Misra, Vishal. “Time-Aware Synthetic Control.” arXiv Preprint, 2601.03099, 2026. URL: https://arxiv.org/abs/2601.03099
Autor, David H., Dorn, David, and Hanson, Gordon H. “The China Syndrome: Local Labor Market Effects of Import Competition in the United States.” American Economic Review, 103(6): 2121-2168, 2013. DOI: https://doi.org/10.1257/aer.103.6.2121
Wang, Le, Xin Xing, and Youhui Ye. “A L-infinity Norm Counterfactual and Synthetic Control Approach.” Working Paper, Virginia Tech, 2025. arXiv: https://arxiv.org/abs/2510.26053. Reference implementation (Python): BioAlgs/LinfinitySC
Liao, Chengwang, Zhentao Shi, and Yapeng Zheng.
“A Relaxation Approach to Synthetic Control.”
Working Paper, The Chinese University of Hong Kong, 2026.
arXiv: https://arxiv.org/abs/2508.01793.
Reference implementation (Python package scmrelax):
metricshilab/scmrelax (installable from
PanJi-0/scmrelax); the Brexit / UK real-GDP
empirical application: YapengZheng/Relaxed_SC
Pouliot, Guillaume Allaire, Zhen Xie, and Ziyi Liu. “Degrees of Freedom and Information Criteria for the Synthetic Control Method.” Working Paper, 2022 (revised 2026). arXiv: https://arxiv.org/abs/2207.02943.
Xu, Yihong and Zhou, Quan. “Bayesian Synthetic Control with a Soft Simplex Constraint.” arXiv Working Paper, 2503.06454, 2025. URL: https://arxiv.org/abs/2503.06454
Li, Kathleen T. “Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods.” Journal of the American Statistical Association, 115(532): 2068-2083, 2020.
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Tian, Wei, Lee, Seojeong, and Panchenko, Valentyn. “Synthetic Controls with Multiple Outcomes.” The Econometrics Journal, utag005, 2026. DOI: https://doi.org/10.1093/ectj/utag005
Sun, Liyang, Ben-Michael, Eli, and Feller, Avi. “Using Multiple Outcomes to Improve the Synthetic Control Method.” The Review of Economics and Statistics, 2025. DOI: https://doi.org/10.1162/rest_a_01592
Agarwal, Anish, Shah, Devavrat, and Shen, Dennis. “Synthetic Interventions: Extending Synthetic Controls to Multiple Treatments.” Operations Research, 74(2): 840-859, 2025. DOI: https://doi.org/10.1287/opre.2025.1590
Kellogg, Maxwell, Mogstad, Magne, Pouliot, Guillaume A., and Torgovitsky, Alexander. “Combining Matching and Synthetic Control to Trade Off Biases From Extrapolation and Interpolation.” Journal of the American Statistical Association, 116(536): 1804-1816, 2021. DOI: https://doi.org/10.1080/01621459.2021.1979562