Innovation research has become an important topic in regional science analysis. Yet the modelling base of much innovation research is still feeble. This paper aims to map out the research potential of recent approaches in quantitative complexity analysis, in particular Neural Networks (NNs)...

Different disciplines within the social sciences have produced large theoretical and empirical literatures to explain the determinants of anti-immigration attitudes. We bring together these literatures in a unified framework and identify testable hypotheses on what characteristics of the...

Empirical assessments of the forecasting power of spatial panel data econometric models are still scarcely available. Moreover, several methodological contributions rely on simulated data to showcase the potential of proposed methods. While simulations are obviously useful to evaluate the...