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Ziel des vorgestellten Projekts war, das Merkmal Vollzeit/Teilzeit des Tätigkeitsschlüssels in den Integrierten Erwerbsbiografien der Bundesagentur für Arbeit zu korrigieren. Dies sollte mithilfe des auch in der Verdienststrukturerhebung vorhandenen, aber manuell korrigierten Schlüssels...
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inequality constraints on basis coefficients by boosting techniques. Therefore, recently developed componentwise boosting methods …
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of the penalized estimator, which is based on a new boosting method, allows to select variables. Real world data and …
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new approach based on marker selection. Finally, we compare the best predictive model with a model derived from a boosting …
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Empirical studies on farmland rental rates have predominantly concentrated on modelling conditional means using spatial autoregressive models, where a linear functional form between the response and the covariates is usually assumed. However, if it is in fact non-linear, misspecifying the...
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This paper evaluates the forecast performance of boosting, a variable selection device, and compares it with the … comparison methodology, we find that boosting is a serious competitor for forecasting US industrial production growth in the …
Persistent link: https://www.econbiz.de/10010427583
There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we incorporate Google search data into a Bridge Equation Model, a...
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