Data · dataset · 2016
Short-Term GDP Forecasting With a Mixed-Frequency Dynamic Factor Model With Stochastic Volatility
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In this article, we develop a mixed frequency dynamic factor model in which the disturbances of both the latent common factor and of the idiosyncratic components have time-varying stochastic volatilities.
Description
We use the model to investigate business cycle dynamics in the euro area and present three sets of empirical results. First, we evaluate the impact of macroeconomic releases on point and density forecast accuracy and on the width of forecast intervals.
Second, we show how our setup allows to make a probabilistic assessment of the contribution of releases to forecast revisions. Third, we examine point and density out of sample forecast accuracy. We find that introducing stochastic volatility in the model contributes to an improvement in both point and density forecast accuracy.
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Where it is published
- Repository landing page tandf.figshare.com/articles/dataset/Short_term_GDP_forecasting_with_a_mixed_frequ… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.1332456 ↗
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Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
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- IsSupplementTo 10.1080/07350015.2015.1006773 doi.org/10.1080/07350015.2015.1006773 ↗
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- DataCite API api.datacite.org/dois/10.6084/m9.figshare.1332456 ↗
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Topics
- Stated by source
- Biological sciences · Computer and information sciences · Sociology
- From keywords
- Medicine & Health · Social Science
Provenance · 1 source records, 13 field assertions
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|---|---|---|---|
| DataCite | 10.6084/m9.figshare.1332456 | 15 d ago | JSON v1 |
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| concepts[field].fos:sociology | source · DataCite | connector:datacite@1.0.0 | |
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