The aim of this paper is to introduce a new model selection mechanism for cross sectional spatial models. This method is more flexible than the approach proposed by Florax et al. (2003) since it controls for spatial dependence as well as for spatial heterogeneity. In particular, Bayesian and...

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...

In the recent last years, in particular in the aftermath of the global financial and economic crisis, many countries initiated economic recovery plans with a major focus on stimulating green entrepreneurial activities to revive economic growth. Further, the recovery plans intend to improve a...

A large and still growing body of literature suggests that entrepreneurship is of exceptional importance in explaining knowledge spillovers. Although quantifying the impact of entrepreneurial activity for economic growth is an interesting issue - particularly at the regional level - a concise...

Replicator dynamic modelling (rdm) is used to discuss industrial evolution problems with heterogeneous agents. However, some of the models tend to be very complex and, therefore, analytical solutions cannot be obtained. Hence, the paper proposes to start with a relatively simple model and check...