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Econometrics 2017, 5(4), 52;

Synthetic Control and Inference

Department of Economics, University of California Los Angeles, 8283 Bunche Hall, Los Angeles, CA 90095, USA
Department of Economics, University of California Riverside, 3136 Sproul Hall, Riverside, CA 92521, USA
Author to whom correspondence should be addressed.
Academic Editors: In Choi and Ryo Okui
Received: 27 October 2016 / Revised: 1 November 2017 / Accepted: 3 November 2017 / Published: 28 November 2017
(This article belongs to the Special Issue Recent Developments in Panel Data Methods)
Full-Text   |   PDF [267 KB, uploaded 28 November 2017]


We examine properties of permutation tests in the context of synthetic control. Permutation tests are frequently used methods of inference for synthetic control when the number of potential control units is small. We analyze the permutation tests from a repeated sampling perspective and show that the size of permutation tests may be distorted. Several alternative methods are discussed. View Full-Text
Keywords: synthetic control; permutation test; symmetry synthetic control; permutation test; symmetry
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Hahn, J.; Shi, R. Synthetic Control and Inference. Econometrics 2017, 5, 52.

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