Generalizing impact computations for the autoregressive spatial interaction model
Paula Margaretic and
No 22-1357, TSE Working Papers from Toulouse School of Economics (TSE)
We extend the impact decomposition proposed by LeSage and Thomas-Agnan (2015) in the spatial interaction model to a more general framework, where the sets of origins and destinations can be different, and where the relevant attributes characterizing the origins do not coincide with those of the destinations. These extensions result in three flow data configurations which we study extensively: the square, the rectangular, and the non-cartesian cases. We propose numerical simplifications to compute the impacts, avoiding the inversion of a large filter matrix. These simplifications considerably reduce computation time; they can also be useful for prediction. Furthermore, we define local measures for the intra, origin, destination and network effects. Interestingly, these local measures can be aggregated at different levels of analysis. Finally, we illustrate our methodology in a case study using remittance flows all over the world.
Keywords: Impact decomposition; local effects; spatial interaction autoregressive models; non-cartesian flow data (search for similar items in EconPapers)
JEL-codes: C13 C31 C46 C51 C65 (search for similar items in EconPapers)
Date: 2022-09-13, Revised 2023-02
New Economics Papers: this item is included in nep-ecm, nep-net and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:tse:wpaper:127301
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