The Fukushima Daiichi accident in Japan in March 2011 caused a fundamental change in Germany's energy policy which led to the immediate shut down of nearly half of its nuclear power plants. This paper uses data from Germany's largest internet platform for real estate to investigate the effect of...

The Fukushima Daiichi accident in Japan in March 2011 caused a fundamental change in Germany’s energy policy which led to the immediate shut down of nearly half of its nuclear power plants. This paper uses data from Germany’s largest internet platform for real estate to investigate the...

The Fukushima Daiichi accident in Japan in March 2011 caused a fundamental change in Germanys energy policy which led to the immediate shut down of nearly half of its nuclear power plants. Using data from Germanys largest internet platform for real estate and employing a...

The extent to which exogenous international agricultural price fluctuations are internalized by rural communities is of major interest for policy-makers concerned with regional economic performance. So too is the link between rural sector performance and urban outcomes, especially in...

This paper charts the diverging responses of different real estate sectors to the COVID-19 pandemic—and the implications for the spatial allocation of activity across metropolitan areas. Using local data from both Austin and Los Angeles, it documents sustained shifts in rents and vacancy rates...

The covid-19 pandemic induced a major shift in the prevalence of remote and hybrid work arrangements. This article reviews the effects of this remote work revolution for residential and commercial real estate values and for the future of cities. It also discusses consequences for productivity,...

Using a general method of moments (GMM) aggregate production function adjusted for spatial autocorrelation, Russian regions 2001–2019 are found to exhibit no β convergence/divergence before 2009, 1% convergence 2009–2014 and then none again 2015–2019. Both human and physical capital...

This paper investigates the regional differences in the spread of COVID-19 infections in Germany. A machine learning selection procedure is used to reduce variables from a pool of potential influencing variables. The empirical analysis shows that both regional structural variables and regionally...

This paper investigates the regional differences in the spread of COVID-19 infections in Germany. A machine learning selection procedure is used to reduce variables from a pool of potential influencing variables. The empirical analysis shows that both regional structural variables and regionally...