We study the local evolution of female labour supply and cultural norms in West Germany in reaction to the sudden presence of East Germans who migrated to the West after reunication. These migrants grew up with high rates of maternal employment, whereas West German families mostly followed the...

We study the local evolution of cultural norms in West Germany in reaction to the sudden presence of East Germans who migrated to the West after reunification. These migrants grew up with very high rates of maternal employment, whereas West German families followed the traditional...

We study the local evolution of cultural norms in West Germany in reaction to the sudden presence of East Germans who migrated to the West after reunification. These migrants grew up with very high rates of maternal employment, whereas West German families followed the traditional...

We study the local evolution of cultural norms in West Germany in reaction to the sudden presence of East Germans who migrated to the West after reunification. These migrants grew up with very high rates of maternal employment, whereas West German families followed the traditional...

We study the local evolution of cultural norms in West Germany in reaction to the sudden presence of East Germans who migrated to the West after reunification. These migrants grew up with very high rates of maternal employment, whereas West German families followed the traditional...

The increasing availability of large amounts of historical data and the need of performing accurate forecasting of future behavior in several scientific and applied domains demands the definition of robust and efficient techniques able to infer from observations the stochastic dependency between...

We combine signal processing to machine learning methodologies by introducing a hybrid Ensemble Empirical Mode Decomposition (EEMD), Multivariate Adaptive Regression Splines (MARS) and Support Vector Regression (SVR) model in order to forecast the monthly and daily Euro (EUR)/United States...

We propose a Support Vector Machine (SVM) based structural model in order to forecast the collapse of banking institutions in the U.S. using publicly disclosed information from their financial statements on a four-year rolling window. In our approach, the optimum input variable set is defined...