powered by
MSCMT implements the Multivariate Synthetic Control Method Using Time Series.
Maintainer: Martin Becker martin.becker@mx.uni-saarland.de (ORCID)
Authors:
Stefan Klößner S.Kloessner@mx.uni-saarland.de
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]
MSCMT implements three generalizations of the synthetic control method (which has already an implementation in package 'Synth'):
it allows for using multiple outcome variables,
time series can be supplied as economic predictors,
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.
Abadie2003MSCMT
Abadie2010MSCMT
FastReliableMSCMT
CVMSCMT
KP16MSCMT
if (FALSE) { ## for examples, see the package vignettes: browseVignettes(package="MSCMT") }
Run the code above in your browser using DataLab