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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 Streicher [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 |
Reference manual: | sectorgap.pdf |
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 |
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