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MSCMT (version 1.4.0)

MSCMT: Multivariate Synthetic Control Method Using Time Series

Description

MSCMT implements the Multivariate Synthetic Control Method Using Time Series.

Arguments

Author

Maintainer: Martin Becker martin.becker@mx.uni-saarland.de (ORCID)

Authors:

Other contributors:

  • Karline Soetaert karline.soetaert@nioz.nl [compiler]

  • Jack Dongarra dongarra@icl.utk.edu [copyright holder]

  • R.J. Hanson [copyright holder]

  • K.H. Haskell [copyright holder]

  • Cleve Moler [copyright holder]

  • LAPACK authors [copyright holder]

Details

MSCMT implements three generalizations of the synthetic control method (which has already an implementation in package 'Synth'):

  1. it allows for using multiple outcome variables,

  2. time series can be supplied as economic predictors,

  3. a well-defined cross-validation approach can be used.

Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency.

References

Abadie2003MSCMT

Abadie2010MSCMT

FastReliableMSCMT

CVMSCMT

KP16MSCMT

Examples

Run this code
if (FALSE) {
## for examples, see the package vignettes:
browseVignettes(package="MSCMT")
}

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