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

By Bruno Ferman. 2019

63 citations recorded by the source corpus.

Abstract We consider the asymptotic properties of the synthetic control (SC) estimator when both the number of pretreatment periods and control units are large. If potential outcomes follow a linear factor model, we provide conditions under which the SC unit asymptotically recovers the factor structure of the treated unit, even when the pretreatment fit is imperfect. This happens when there are weights diluted among an increasing number of control units such that a weighted average of the factor structure of the control units asymptotically reconstructs the factor structure of the treated unit. In this case, the SC estimator is asymptotically unbiased even when treatment assignment is correlated with time-varying unobservables. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/36a942d87c4524f163a5ffbc0c44cad33489575e

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In Control and Systems Engineering

  1. Cristine Pinto
  2. Eli Ben-Michael
  3. Avi Feller
  4. Jesse M. Rothstein
  5. Alberto Abadie

In Statistics and Probability

  1. Bruno Ferman
  2. Cristine Pinto
  3. Avi Feller
  4. Eli Ben-Michael
  5. Jesse M. Rothstein
  6. Alberto Abadie
  7. Guido W. Imbens
  8. Stefan Wager

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