Laurent, ThibaultIdRefORCIDORCID: https://orcid.org/0000-0001-7487-7671, Margaretic, PaulaIdRef and Thomas-Agnan, ChristineIdRefORCIDORCID: https://orcid.org/0000-0002-7845-5385 (2023) Generalizing impact computations for the autoregressive spatial interaction model. TSE Working Paper, n. 22-1357, Toulouse

[thumbnail of wp_tse_1357.pdf]
Preview
Text
Download (1MB) | Preview

Abstract

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.

Item Type: Monograph (Working Paper)
Language: English
Date: February 2023
Place of Publication: Toulouse
Uncontrolled Keywords: Impact decomposition, local effects, spatial interaction autoregressive models, non-cartesian flow data
JEL Classification: C13 - Estimation
C31 - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
C46 - Specific Distributions; Specific Statistics
C51 - Model Construction and Estimation
C65 - Miscellaneous Mathematical Tools
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse 1 Capitole
Site: UT1
Date Deposited: 20 Sep 2022 07:16
Last Modified: 10 Mar 2026 08:14
OAI Identifier: oai:tse-fr.eu:127301
URI: https://publications.ut-capitole.fr/id/eprint/46273
View Item

Downloads

Downloads per month over past year