Shifting taxes from labor income to consumption is regularly suggested as a measure to induce work incentives. We investigate the effect of increases in the Value Added Tax on labor supply and the income distribution in Germany, which is compensated by a revenue-neutral reduction in...

Shifting taxes from labor income to consumption is regularly suggested as a measure to induce work incentives. We investigate the effect of increases in the Value Added Tax on labor supply and the income distribution in Germany, which is compensated by a revenue-neutral reduction in...

We present empirical evidence suggesting that technological progress in the digital age will be biased not only with respect to skills acquired through education but also with respect to noncognitive skills (personality). We measure the direction of technological change by estimated future...

We model the evolution of the number of individuals that are reported to be sick with COVID-19 in Germany. Our theoretical framework builds on a continuous time Markov chain with four states: healthy without infection, sick, healthy after recovery or after infection but without symptoms and...

We model the evolution of the number of individuals that are reported to be sick with COVID-19 in Germany. Our theoretical framework builds on a continuous time Markov chain with four states: healthy without infection, sick, healthy after recovery or after infection but without symptoms and...

Many countries consider the lifting of restrictions of social contacts (RSC). We quantify the effects of RSC for Germany. We initially employ a purely statistical approach to predicting prevalence of COVID19 if RSC were upheld after April 20. We employ these findings and feed them into our...

This paper investigates the effect of shifting taxes from labor income to consumption on labor supply and the distribution of income in Germany. We simulate stepwise increases in the value-added tax (VAT) rate, which are compensated by revenue-neutral reductions in income-related taxes. We...

Exploratory factor analysis (EFA) is an important tool in data analyses, particularly in social science. Usually four steps are carried out which contain an large number of options. One important option is the number of factors and the association of variables with a factor. Our tools aim to...

Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the crucial factor in forecasting performance of the...

The increased wind energy supplied to many electricity markets around the world has to be balanced by reliable back up units or other complementary measures when wind conditions are low. At the same time wind energy impacts both, the utilization of thermal power plants and the market prices....