For spatial data with a sufficiently long time dimension, the concept of global cointegration has been recently included in the econometrics research agenda. Global cointegration arises when non-stationary time series are cointegrated both within and between spatial units. In this paper, we...

For spatial data with a sufficiently long time dimension, the concept of global cointegration has been recently included in the econometrics research agenda. Global cointegration arises when non-stationary time series are cointegrated both within and between spatial units. In this paper, we...

For spatial data with a sufficiently long time dimension, the concept of global cointegration has been recently included in the econometrics research agenda. Global cointegration arises when non-stationary time series are cointegrated both within and between spatial units. In this paper, we...

This paper provides an analysis of the impact of the German “Joint Task for the Improve-ment of Regional Economic Structures” (GRW) on labour productivity growth of 225 German labour market regions for the period 1994 to 2006. The empirical regression approach builds on a “Barro-type”...

We analyse the effect of public Research and Development (R&D) subsidies on private sector innovativeness for a cross-section of East German firms applying different matching estimations, which are primary based on an estimate of a propensity score. To do so, we use a until now unexplored...

Applied econometrics has recently emphasized the identification of causal parameters for policy analysis. This revolution has yet to fully propagate to the field of regional science. We examine the scope for application of the matching approach – part of the modern applied econometrics toolkit...

We analyse the determinants of network formation in Germany’s biotechnology industry using social network analysis combined with a regression approach for count data. Outcome variable of interest is the degree centrality of German regions, which is specified as a function of the region’s...

We analyse the determinants of network formation in German's biotechnology sector combining elements from social network analysis (SNA) and a regression framework for count data. For the latter we adopt a regional innovation system perspective, we estimate the number of total and interregional...

Applied econometrics has recently emphasized the identification of causal parameters for policy analysis. This revolution has yet to fully propagate to the field of regional science. We examine the scope for application of the matching approach – part of the modern applied econometrics toolkit...

We use the synthetic control method to analyze the effect of face masks on the spread of Covid-19 in Germany. Our identification approach exploits regional variation in the point in time when face masks became compulsory. Depending on the region we analyse, we find that face masks reduced the...