MSCMT: Multivariate Synthetic Control Method Using Time Series

Three generalizations of the synthetic control method (which has already an implementation in package 'Synth') are implemented: first, 'MSCMT' allows for using multiple outcome variables, second, time series can be supplied as economic predictors, and third, 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. A detailed description of the main algorithms is given in Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.

Package details

AuthorMartin Becker [aut, cre] (<https://orcid.org/0000-0003-2336-9751>), Stefan Klößner [aut], Karline Soetaert [com], LAPACK authors [cph]
MaintainerMartin Becker <[email protected]>
LicenseGPL
Version1.3.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MSCMT")

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MSCMT documentation built on May 2, 2019, 4:16 a.m.