Transmission Channel Analysis in Structural VAR Models

Implements Transmission Channel Analysis (TCA) for structural vector autoregressive (SVAR) models following the methodology of Wegner, Lieb, Smeekes and Wilms (2025) . TCA decomposes impulse response functions (IRFs) into contributions from distinct transmission channels using a systems form representation and directed acyclic graph (DAG) path analysis. Supports overlapping channels, exhaustive 3-way and 4-way decompositions via inclusion-exclusion principle. This is a parallel R implementation of the 'tca-matlab-toolbox' (< https://github.com/enweg/tca-matlab-toolbox>).


Reference manual

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install.packages("SVARtca")

1.0.3 by Muhammad Alkhalaf, 7 days ago


https://github.com/muhammedalkhalaf/SVARtca


Report a bug at https://github.com/muhammedalkhalaf/SVARtca/issues


Browse source code at https://github.com/cran/SVARtca


Authors: Muhammad Alkhalaf [aut, cre] (ORCID: , Enrico Wegner [ctb] (Author of the MATLAB TCA toolbox the package is ported from; co-author of the original methodology) , Lenard Lieb [ctb] (Original methodology) , Stephan Smeekes [ctb] (Original methodology) , Ines Wilms [ctb] (Original methodology)


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Matrix, ggplot2, rlang

Suggests testthat, knitr, rmarkdown, vars


See at CRAN