Short-term forecasting of French GDP growth using dynamic factor models
In recent years, central banks and international organisations have been making ever greater use of factor models to forecast macroeconomic variables. We examine the performance of these models in forecasting French GDP growth over short horizons. The factors are extracted from a large data set of a...
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Format: | Elektronisch Buchkapitel |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2014
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Online-Zugang: | DE-384 DE-473 DE-824 DE-29 DE-739 DE-355 DE-20 DE-1028 DE-1049 DE-521 DE-861 DE-898 DE-92 DE-91 DE-573 DE-19 URL des Erstveröffentlichers |
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Zusammenfassung: | In recent years, central banks and international organisations have been making ever greater use of factor models to forecast macroeconomic variables. We examine the performance of these models in forecasting French GDP growth over short horizons. The factors are extracted from a large data set of around one hundred variables including survey balances and real, financial, and international variables. An out-of-sample pseudo real-time evaluation over the past decade shows that factor models provide a gain in accuracy relative to the usual benchmarks. However, the forecasts remain inaccurate before the start of the quarter. We also show that the inclusion of international and financial variables can improve forecasts at the longest horizons |
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Beschreibung: | 1 Online-Ressource (40 Seiten) 21 x 28cm |
DOI: | 10.1787/jbcma-2013-5jz742l0pt8s |