It is generally accepted that regional labor markets are characterized by strong interdependencies. However, only few studies include spatial elements to their estimations. Using the model framework proposed by Cliff and Ord (1973, 1981) and the estimation technique proposed by Kelejian and...

In analyzing the disparities of the regional developments in the volume of employment in Germany, in the recent empirical literature so called shift-share-regression-models are frequently applied. However, these models usually neglect spatial interdependencies, even though such interdependencies...

We propose using sign restrictions to identify regional labor demand shocks in a panel VAR of US federal states. Observed migration responds significantly, but less persistently than the residual-based migration measure constructed by Blanchard and Katz (1992)

This paper documents several facts about internal migrants in the US that underlie substantial areas of economic research and policy making, but are rarely directly published. Using a large-sample, 23-year panel, the Federal Reserve Bank of New York/Equifax Consumer Credit Panel, I estimate the...

The Spanish labour market disproportionately booms in expansions and bursts in recessions; meanwhile, its regions' relative position persists: those with the highest unemployment rates in 1996 were also in the worse position in 2012. To examine this twofold feature, we apply Blanchard and Katz's...

The study presents the results of grouping EU NUTS 2 regions based on the share of employment in particular sectors (knowledge‑intensive high‑technology services, knowledge‑intensive market services and other knowledge‑intensive services), as well as GDP per capita, in 2008 and 2018. The...

This paper assesses the impact of the first wave of the pandemic on the local economies of one of the hardest-hit countries, Italy. We combine quarterly local labor market data with the new machine learning control method for counterfactual building. Our results document that the economic...