New method unlocks hidden patterns in European high-tech knowledge sharing!
Spatial autocorrelation in spatial interaction data can be effectively addressed using eigenfunction-based spatial filtering. This method helps to account for spatial separation effects in a Poisson spatial interaction model, particularly in the context of interregional knowledge spillovers among high-technology firms in Europe.