ドイツ ライプツィヒ大学 経済学・経営科学部 教授

英国 エクセター大学ビジネス・スクール 上級講師
東北大学経済学研究科 客員准教授

A region’s growth trajectory is influenced by the economic circumstances of other regions in its proximity. While proximity is often understood in a geographic sense, we consider commuting as a channel for cross-regional economic dependencies. In contrast to geographic measures, commuter flows are inherently asymmetric and heterogeneous. Estimating a time-space dynamic panel model with German county-level data, we demonstrate a considerable variation in the distribution of shock responses, which is hidden by the traditional focus on average marginal effects. We advocate for a more in-depth analysis of the spatial-effects distribution and highlight that local spatial multipliers differ depending on the nature of the shock and the assumed network structure.