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On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls. (2020). Ferman, Bruno.
In: Papers.
RePEc:arx:papers:1906.06665.

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  1. Synthetic Controls for Experimental Design. (2025). Abadie, Alberto ; Zhao, Jinglong.
    In: Papers.
    RePEc:arx:papers:2108.02196.

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  2. Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models. (2021). Imbens, Guido ; Mao, Xiaojie ; Kallus, Nathan.
    In: Papers.
    RePEc:arx:papers:2108.03849.

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  3. Synthetic Controls with Imperfect Pre-Treatment Fit. (2021). Pinto, Cristine ; Ferman, Bruno.
    In: Papers.
    RePEc:arx:papers:1911.08521.

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  4. Matching Estimators with Few Treated and Many Control Observations. (2021). Ferman, Bruno.
    In: Papers.
    RePEc:arx:papers:1909.05093.

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References

References cited by this document

  1. Abadie, A. and Gardeazabal, J. (2003). The Economic Costs of Conflict: A Case Study of the Basque Country. American Economic Review, 93(1):113–132.

  2. Abadie, A., Diamond, A., and Hainmueller, J. (2010). Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program. Journal of the American Statiscal Association, 105(490):493–505.

  3. Abadie, A., Diamond, A., and Hainmueller, J. (2015). Comparative Politics and the Synthetic Control Method. American Journal of Political Science, 59(2):495–510.

  4. Arkhangelsky, D., Athey, S., Hirshberg, D. A., Imbens, G. W., and Wager, S. (2018). Synthetic Difference in Differences. arXiv e-prints, page arXiv:1812.09970.
    Paper not yet in RePEc: Add citation now
  5. Athey, S. and Imbens, G. (2016). The State of Applied Econometrics-Causality and Policy Evaluation. arXiv preprint arXiv:1607.00699.

  6. Athey, S., Bayati, M., Doudchenko, N., Imbens, G., and Khosravi, K. (2017). Matrix Completion Methods for Causal Panel Data Models. arXiv e-prints, page arXiv:1710.10251.
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  7. Bai, J. (2009). Panel data models with interactive fixed effects. Econometrica, 77(4):1229– 1279.

  8. Botosaru, I. and Ferman, B. (2019). On the role of covariates in the synthetic control method. Econometrics Journal.

  9. Carvalho, C., Masini, R., and Medeiros, M. C. (2018). Arco: An artificial counterfactual approach for high-dimensional panel time-series data. Journal of Econometrics, 207(2):352– 380.

  10. Chernozhukov, V., Wuthrich, K., and Zhu, Y. (2017). An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls. Papers 1712.09089, arXiv.org.

  11. Doudchenko, N. and Imbens, G. (2016). Balancing, regression, difference-in-differences and synthetic control methods: A synthesis.

  12. Ferman, B. and Pinto, C. (2019). Synthetic Controls with Imperfect Pre-Treatment Fit.
    Paper not yet in RePEc: Add citation now
  13. Gobillon, L. and Magnac, T. (2016). Regional policy evaluation: Interactive fixed effects and synthetic controls. The Review of Economics and Statistics, 98(3):535–551.

  14. Miller, K. S. (1981). On the inverse of the sum of matrices. Mathematics Magazine, 54(2):67– 72.
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  15. Newey, W. K. and McFadden, D. (1994). Chapter 36 large sample estimation and hypothesis testing. volume 4 of Handbook of Econometrics, pages 2111 – 2245. Elsevier.
    Paper not yet in RePEc: Add citation now
  16. Powell, D. (2019). Synthetic control estimation beyond case studies: Does the minimum wage reduce employment? Xu, Y. (2017). Generalized synthetic control method: Causal inference with interactive fixed effects models. Political Analysis, 25(2):57–76.

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