Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...

This paper investigates the effect of locus of control (LOC) on the length of mothers’ employment break after childbirth. Using data from the German Socio-Economic Panel Study (SOEP), duration data reveals that women with an internal LOC return to employment more quickly than women with an...

This paper investigates the effect of locus of control (LOC) on the length of mothers’ employment break after childbirth. Using data from the German Socio-Economic Panel Study (SOEP), duration data reveals that women with an internal LOC return to employment more quickly than women with an...

This paper considers factor forecasting with national versus factor forecasting withinternational data. We forecast German GDP based on a large set of about 500 time series, consisting of German data as well as data from Euro-area and G7 countries. For factor estimation, we consider standard...

Widespread electric vehicle adoption is considered a major policy goal in order to decarbonize the transport sector. However, potential rebound effects both in terms of vehicle ownership and distance traveled might nullify the environmental edge of electric vehicles. Using cross-sectional...

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...