pvars: VAR Modeling for Heterogeneous Panels

Implements (1) panel cointegration rank tests, (2) estimators for panel vector autoregressive (VAR) models, and (3) identification methods for panel structural vector autoregressive (SVAR) models as described in the accompanying vignette. The implemented functions allow to account for cross-sectional dependence and for structural breaks in the deterministic terms of the VAR processes. Among the large set of functions, particularly noteworthy are those that implement (1) the correlation-augmented inverse normal test on the cointegration rank by Arsova and Oersal (2021, <doi:10.1016/j.ecosta.202005002>), (2) the two-step estimator for pooled cointegrating vectors by Breitung (2005, <doi:10.1081/ETC-200067895>), and (3) the pooled identification based on independent component analysis by Herwartz and Wang (2024, <doi:10.1002/jae.3044>).

Version: 1.1.1
Depends: R (≥ 3.5.0), svars (≥ 1.3.4)
Imports: clue, copula, DEoptim, expm, ggplot2, MASS, pbapply, reshape2, scales, stats, steadyICA, utils, vars
Suggests: ggfortify, ggpubr, knitr, plm, RColorBrewer, testthat (≥ 2.1.0), tikzDevice, urca
Published: 2025年10月23日
Author: Lennart Empting ORCID iD [aut, cre, cph]
Maintainer: Lennart Empting <lennart.empting at vwl.uni-due.de>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
In views: Econometrics
CRAN checks: pvars results

Documentation:

Reference manual: pvars.html , pvars.pdf

Downloads:

Package source: pvars_1.1.1.tar.gz
Windows binaries: r-devel: pvars_1.1.1.zip, r-release: pvars_1.1.1.zip, r-oldrel: pvars_1.1.1.zip
macOS binaries: r-release (arm64): pvars_1.1.1.tgz, r-oldrel (arm64): pvars_1.1.1.tgz, r-release (x86_64): pvars_1.1.1.tgz, r-oldrel (x86_64): pvars_1.1.1.tgz
Old sources: pvars archive

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