In this paper various ensemble learning methods from machine learning and statistics are considered and applied to the customer choice modeling problem. The application of ensemble learning usually improves the prediction quality of flexible models like decision trees and thus leads to improved...

In this paper various ensemble learning methods from machine learning and statistics are considered and applied to the customer choice modeling problem. The application of ensemble learning usually improves the prediction quality of flexible models like decision trees and thus leads to improved...

Model specification and selection are recurring themes in econometric analysis. Both topics become considerably more complicated in the case of large-dimensional data sets where the set of specification possibilities can become quite large. In the context of linear regression models, penalised...

Model specification and selection are recurring themes in econometric analysis. Both topics become considerably more complicated in the case of large-dimensional data sets where the set of specification possibilities can become quite large. In the context of linear regression models, penalised...

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...