The application of Artificial Neural Networks in many scientific fields has been increased the last years with the development of new neural network technologies and techniques In this study, Artificial Neural Networks are applied for building forecasting models in order to predict unemployment....

The aim of this paper is to analyze and estimate salient characteristics of unemployment dynamics. Movements in unemployment are viewed as "chain reactions" of responses to labour market shocks, working their way through systems of interacting lagged adjustment processes. In the context of...

The empirical literature on unemployment almost exclusively focuses on the duration of distinct unemployment spells. In contrast, we use a large German administrative micro data set for the time span 1975-2004 to investigate individual lifetime unemployment (defined as the total length of all...