We investigate the employment consequences of deindustrialization for 1,993 cities in France, Germany, Great Britain, Italy, Japan, and the United States. In all six countries we find a strong negative relationship between a city's share of manufacturing employment in the year of its country's...

This paper studies the role of culture in shaping unemployment outcomes. The empirical analysis is based on local comparisons across a language barrier in Switzerland. This Röstigraben separates cultural groups, but neither labor markets nor political jurisdictions. Local contrasts across the...

During the last decade, the Austrian labour market experienced a substantial outward shift of the Beveridge curve. Using detailed administrative data on vacancies and registered unemployed by region and skill level, we test which factors caused this shift. We find that the Beveridge curve...

This paper offers quasi experimental evidence of the existence of spillover effects of UI extensions using a unique program that extended unemployment benefits drastically for a subset of workers in selected regions of Austria. We use non-eligible unemployed in treated regions, and a...

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...

The paper argues that economic integration causes problems for the labor market of high-wage countries due to cross-border labor mobility and the accompanying increase in labor supply. Empirical evidence is provided from an analysis of regional labor market effects of German re-unification. In...

In this paper we present two new composite leading indicators of economicactivity in Germany estimated using a dynamic factor model with and withoutregime switching. The obtained optimal inferences of business cycle turningpoints indicate that the two-state regime switching procedure leads to...

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...

This paper applies component-wise boosting to the topic of regional economic forecasting. Component-wise boosting is a pre-selection algorithm of indicators for forecasting. By using unique quarterly real gross domestic product data for two German states (the Free State of Saxony and...