We show that digital capital and working from home were essential for the resilience of local labour markets in the context of the COVID-19 crisis in Germany. Employment responses differed widely across local labour markets, with differences in short-time work rates of up to 30 percentage points...

Employment responses to the COVID-19 crisis differed widely across German local labour markets at the beginning of the pandemic, with differences in short-time work rates of up to 20 percentage points. We show that digital capital, and to a lesser extent working-from-home, were essential for the...

This paper investigates the effect of the size of the local labor market on skill mismatch. Using survey data for Germany, I find that workers in large cities are both less likely to be overqualified for their job and to work in a different field than the one they are trained for. Different...

Recent labor market reforms in Germany aim, among other things, at reducing unemployment by restricting passive unemployment measures, emphasizing local labor market policies and re-structuring public employment services. This paper uses extensive individual administrative and regional aggregate...

We present a combined, consistent microsimulation-AGE model that uses the labour market model PACE-L, data from the German Socio-Economic Panel and a discrete choice labour supply estimation. The model is used to analyse a reform that cuts the social assistance minimum income and lowers the...

We compare two options of integrating discrete working time choice of heterogenous households into a general equilibrium model. The first, known from the literature, produces household heterogeneity through a working time preference parameter. We contrast this with a model that directly...

Computing power continues to grow at an enormous rate. Simultaneously, more and better data is increasingly available and Machine Learning methods have seen significant breakthroughs in the recent past. All this pushes further the boundary of what machines can do. Nowadays increasingly complex...

Computing power continues to grow at an enormous rate. Simultaneously, more and better data is increasingly available and Machine Learning methods have seen significant breakthroughs in the recent past. All this pushes further the boundary of what machines can do. Nowadays increasingly complex...