【摘要】This study suggests a two-step approach to identifying and interpreting regional convergence clubs in Europe. The ?rst step calculates Bayesian probabilities for various assign-ments of regions to two clubs using a general stochastic space-time dynamic panel relationshipbetween growth rates and initial levels of income as well as endowments of physical, knowledgeand human capital. The second step uses the club assignments in a dynamic space-time paneldata model to assess long-run dynamic direct and spillover responses of regional income levelsto changes in initial period endowments for clubs that were identi?ed. We ?nd different dynamicpartial derivative responses to endowments by regions in the two clubs that appear consistentwith low- and high-income regions as clubs.

【关键词】Dynamic space-time panel data model;Bayesian model comparison;Europeanregions

【文献来源】Manfred M. Fischer;James P. LeSage.Papers in Regional Studies.2015（4）