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We evaluate forecasts for the euro area in data-rich and 'data-lean' environments by comparing three different approaches: a simple PMI model based on Purchasing Managers' Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus data...
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forecast is given by a factor model. Overall, we conclude that these models, or combinations of these models, can yield …
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This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to model speci.cation in the presence of mixed-frequency data, e.g., monthly and quarterly series. MIDAS leads to parsimonious models based on exponential lag polynomials for the coeØ cients, whereas...
Persistent link: https://www.econbiz.de/10003815492
Real gross domestic product (GDP) data in Turkey are released with a very long delay compared with other economies, between 10 and 13 weeks after the end of the reference quarter. To infer the current state of the economy, policy makers, media, and market practitioners examine data that are more...
Persistent link: https://www.econbiz.de/10011500399
the subspace factor model rank highest in terms of forecast accuracy in most cases. However, neither of the dynamic factor … models can provide better forecasts than the static model over all forecast horizons and different specifications of the …
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