pvarife: Panel VAR Models with Interactive Fixed Effects

Implements the estimator of Tugan (2021) <doi:10.1093/ectj/utaa021> for panel vector autoregression (VAR) models with interactive fixed effects. Provides joint estimation of VAR coefficients, latent common factors, and factor loadings via an iterative algorithm that alternates between principal component estimation of the factors and least squares estimation of the VAR coefficients, following the approach of Bai (2009). Supports impulse response functions under recursive (Cholesky) identification, parametric confidence bands from the joint asymptotic distribution of the estimator (Theorem 2.3), and a classical residual bootstrap for robustness checks.

Version: 0.1.1
Depends: R (≥ 4.1.0)
Imports: stats, mvtnorm, ggplot2, rlang
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-06-11
DOI: 10.32614/CRAN.package.pvarife (may not be active yet)
Author: Binzhi Chen ORCID iD [aut, cre]
Maintainer: Binzhi Chen <Binzhi.Chen9 at gmail.com>
BugReports: https://github.com/Rickchen0910/pvarife/issues
License: GPL-3
URL: https://github.com/Rickchen0910/pvarife
NeedsCompilation: no
CRAN checks: pvarife results

Documentation:

Reference manual: pvarife.html , pvarife.pdf
Vignettes: Getting Started with pvarife (source, R code)

Downloads:

Package source: pvarife_0.1.1.tar.gz
Windows binaries: r-devel: pvarife_0.1.1.zip, r-release: not available, r-oldrel: pvarife_0.1.1.zip
macOS binaries: r-release (arm64): pvarife_0.1.1.tgz, r-oldrel (arm64): pvarife_0.1.1.tgz, r-release (x86_64): pvarife_0.1.1.tgz, r-oldrel (x86_64): pvarife_0.1.1.tgz

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