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...

In this paper, the Schumpeterian growth model developed by Ertur and Koch (2011) that includes spatial interactions between units of observation working via R&D spillovers is presented in detail. The implications of this model and three additional growth models with and without spatial...

This paper examines the extent to which sectoral diversification can act as an insurance mechanism against fluctuations in regional gross value added growth rates. I apply portfolio theory to the growth-instability properties of German districts. Furthermore, I define a comprehensive...

The main purpose of the article is to consider a important issue of spatial econometrics which is a proper interpretation of structural parameters of econometric models with spatial autoregression. The problem will be considered based on the example of the spatial SAR model. Another purpose of...

Bootstrapping methods have so far been rarely used to evaluate spatial data sets. Based on an extensive Monte Carlo study we find that also for spatial, cross-sectional data, the wild bootstrap test proposed by Davidson and Flachaire (2008) based on restricted residuals clearly outperforms...

By studying the interaction between social capital and decentralization, we show that political decentralization can be a source of divergence across heterogeneous regions. In particular, we claim that since the local endowments of social capital display their effect on the economy mainly...