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Krisztin2020_Article_TheSpatialEconometricsOfTheCor.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/91038 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/91038 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/91038 archive 353 disk0/00/01/66/12 2020-08-03 10:31:53 2021-08-27 17:33:21 2020-08-03 10:31:53 article show Krisztin T. 2088 0000-0002-9241-8628 Piribauer P. 9211 Wögerer M. 2261 pub COVIS-19 In this paper we use spatial econometric specifications to model daily infection rates of COVID-19 across countries. Using recent advances in Bayesian spatial econometric techniques, we particularly focus on the time-dependent importance of alternative spatial linkage structures such as the number of flight connections, relationships in international trade, and common borders. The flexible model setup allows to study the intensity and type of spatial spillover structures over time. Our results show notable spatial spillover mechanisms in the early stages of the virus with international flight linkages as the main transmission channel. In later stages, our model shows a sharp drop in the intensity spatial spillovers due to national travel bans, indicating that travel restrictions led to a reduction of cross-country spillovers. 2020-08-01 published Springer Berlin Heidelberg 10.1007/s12076-020-00254-1 167 3157 3156 public Letters in Spatial and Resource Sciences TRUE 1864-4031 FALSE no info:eu-repo/semantics/article