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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) <https://www.research-collection.ethz.ch/handle/20.500.11850/653682>.

Version:0.1.0
Depends:R (≥ 2.10)
Imports:stats,KFAS,zoo,ggplot2,MCMCpack,dplyr,tidyr,tempdisagg
Published:2024-01-22
DOI:10.32614/CRAN.package.sectorgap
Author:Sina StreicherORCID iD [aut, cre]
Maintainer:Sina Streicher <streicher.sina at gmail.com>
License:GPL-3
NeedsCompilation:no
Citation:sectorgap citation info
Materials:README
CRAN checks:sectorgap results

Documentation:

Reference manual:sectorgap.html ,sectorgap.pdf

Downloads:

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

Linking:

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