sectorgap: Consistent Economic Trend Cycle Decomposition

Determining potential output and the output gap - two inherently unobservable variables - is a major challenge for macroeconomists. 'sectorgap' features a flexible modeling and estimation framework for a multivariate Bayesian state space model identifying economic output fluctuations consistent with subsectors of the economy. The proposed model is able to capture various correlations between output and a set of aggregate as well as subsector indicators. Estimation of the latent states and parameters is achieved using a simple Gibbs sampling procedure and various plotting options facilitate the assessment of the results. For details on the methodology and an illustrative example, see Streicher (2024) <>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: stats, KFAS, zoo, ggplot2, MCMCpack, dplyr, tidyr, tempdisagg
Published: 2024-01-22
Author: Sina Streicher ORCID iD [aut, cre]
Maintainer: Sina Streicher < at>
License: GPL-3
NeedsCompilation: no
Citation: sectorgap citation info
Materials: README
CRAN checks: sectorgap results


Reference manual: sectorgap.pdf


Package source: sectorgap_0.1.0.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): sectorgap_0.1.0.tgz, r-release (arm64): sectorgap_0.1.0.tgz, r-oldrel (arm64): sectorgap_0.1.0.tgz, r-prerel (x86_64): sectorgap_0.1.0.tgz, r-release (x86_64): sectorgap_0.1.0.tgz


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