We estimate changes in the value and price of residential land for 379 German counties ("Landkreise") from 2014 to 2017 using a total of 42,685 observations. We use the two-step residual method that decomposes the value of a home into the value of the structure and land value. Despite the short...

We estimate spatial German land price effects using the county-level residential land prices from 2014 to 2018. We show that county-level spatial agglomeration effects play a large and significant role in explaining the cross-county variations in land prices. For example, a 1 % increase in the...

This paper analyzes the impact of the German autobahn net on the economic performance of German regions. To address endogeneity and reverse causation problems, we use historical instrument variables, i.e. a plan of the railroad net in 1890 and a plan of the autobahn net in 1937. We find a...

This paper analyzes the impact of the German autobahn net on the economic performance of German regions. To address endogeneity and reverse causation problems, we use historical instrument variables, i.e. a plan of the railroad net in 1890 and a plan of the autobahn net in 1937. We find a...

This paper analyzes the impact of the German autobahn net on the economic performance of German regions. To address endogeneity and reverse causation problems, we use historical instrument variables, i.e. a plan of the railroad net in 1890 and a plan of the autobahn net in 1937. We find a...

In the north-western corner of Germany, the Ems-Achse, a rural region, has witnessed a decade of economic growth. This growth has exacerbated labour shortages, primarily due to an aging population and the outmigration of youth. Acknowledging the potential of teleworking, regional stakeholders...

This paper develops a novel procedure for proxying economic activity with day-time satellite imagery across time periods and spatial units, for which reliable data on economic activity are otherwise not available. In developing this unique proxy, we apply machine-learning techniques to a...

This paper develops a novel procedure for proxying economic activity with day-time satellite imagery across time periods and spatial units, for which reliable data on economic activity are otherwise not available. In developing this unique proxy, we apply machine-learning techniques to a...