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Author
Date
2024-01Type
- Working Paper
ETH Bibliography
yes
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Abstract
Determining potential output and the output gap—two inherently unobservable variables—is a major challenge for macroeconomists. This paper presents the R package
sectorgap, which 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. An illustrative example
with Swiss data outline data preparation, model definition, estimation, and evaluation
using sectorgap. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000653682Publication status
publishedJournal / series
KOF Working PapersVolume
Publisher
KOF Swiss Economic Institute, ETH ZurichSubject
R; state space models; time series; simulation smoother; Gibbs sampling; business cycle; Output gap; potential outputOrganisational unit
02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
06330 - KOF FB Konjunktur / KOF Macroeconomic forecasting
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ETH Bibliography
yes
Altmetrics