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The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...
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the estimation approach. A real-time application to the relationship between daily corporate bond spreads and quarterly …
Persistent link: https://www.econbiz.de/10010481353
Forecast models with large cross-sections are often subject to overparameterization leading to unstable parameter … sufficient prior information dominates competing approaches. In this paper we evaluate the forecast performance of large BVAR in … ranking of the different approaches depends inter alia on the target variable, the forecast horizon, the state of the business …
Persistent link: https://www.econbiz.de/10010342246
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In this report we document the ETLAnow project. ETLAnow is a model for forecasting with big data. At the moment, it predicts the unemployment rate in the EU-28 countries using Google search data. This document is subject to updates as the ETLAnow project advances.
Persistent link: https://www.econbiz.de/10012037674
monthly indicators for the nowcast and forecast of quarterly GDP growth. Amongst the latter, we consider small bridge … equations and forecast equations in which the bridging between monthly and quarterly data is achieved through a regression on …
Persistent link: https://www.econbiz.de/10011606236
Persistent link: https://www.econbiz.de/10001015327
This book addresses Russia's new assertiveness and the role of energy as a key factor in shaping the country's behavior in international relations and in building political and economic power domestically since the 1990s
Persistent link: https://www.econbiz.de/10003769631
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