We estimate the effect of city land use regulation on housing prices in the presence of regulatory spillover. The total effect of regulation is decomposed into a direct effect in which regulation lowers housing productivity and an indirect effect in which household location choice mitigates the...

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...

In the past two decades, controversial evidence has been produced supporting the case for local protectionism in China. This paper overviews the most important contributions and presents a new approach which applies spatial econometrics on prefectural-level data. The main advantage of this...

In the past two decades, controversial evidence has been produced supporting the case for local protectionism in China. This paper overviews the most important contributions and presents a new approach which applies spatial econometrics on prefectural-level data. The main advantage of this...

We use a neoclassical production function to analyze the effects of knowledge spillovers via entrepreneurship on economic performance of 337 German districts. To take the spatial dependence structure of the data into account, we estimate a spatial Durbin model. We highlight the importance of the...

We design a conceptual framework for linking two approaches: the literature on absorptive capacity and the literature on spatial knowledge spillovers. Regions produce new knowledge, but only part of it is efficiently adopted in the economy; the share of efficiently adopted technology depends on...

We use a neoclassical production function to analyze the effects of knowledge spillovers via entrepreneurship on economic performance of 337 German districts. To take the spatial dependence structure of the data into account, we estimate a spatial Durbin model. We highlight the importance of the...

This paper contributes to the recent literature in spatial econometrics that focuses on space-time data modeling implementing a multi-location time-series statistical framework to analyze a regional system. Therefore, taking as a point of departure the Global Vector Autoregression approach...

Using sigma and beta convergence methods, this study tests economic convergence in Turkish NUTS-2 regions between 2004-2011. The findings of sigma convergence analysis show that the interregional income gap decreases during economic recession periods and increases during economic expansion...

We use a neoclassical production function to analyze the effects of knowledge spillovers via entrepreneurship on economic performance of 337 German districts. To take the spatial dependence structure of the data into account, we estimate a spatial Durbin model. We highlight the importance of the...