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The spatial autocorrelation problem in spatial interaction modelling: A comparison of two common solutions

Griffith, Daniel and Fischer, Manfred M. and LeSage, James P. (2017) The spatial autocorrelation problem in spatial interaction modelling: A comparison of two common solutions. Letters in Spatial and Resource Sciences, 10 (1). pp. 75-86. ISSN 1864-4031

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Abstract

Spatial interaction models of the gravity type are widely used to describe origin-destination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterize the origin region of interaction, variables that characterize the destination region of interaction, and variables that measure the separation between origin and destination regions. A violation of standard minimal assumptions for least squares estimation may be associated with two problems: spatial autocorrelation within the residuals, and spatial autocorrelation within explanatory variables. This paper compares a spatial econometric solution with the spatial statistical Moran eigenvector spatial filtering solution to accounting for spatial autocorrelation within model residuals. An example using patent citation data that capture knowledge flows across 257 European regions serves to illustrate the application of the two approaches.

Item Type: Article
Additional Information: To see the final version of this paper please visit the publisher's website. Access to the published version requires a subscription.
Keywords: Origin-destination flows, Spatial dependence in origin-destination flows, Spatial econometrics, Spatial filtering, Patent citation flows
Classification Codes: JEL C31, R15
Divisions: Departments > Sozioökonomie > Wirtschaftsgeographie und Geoinformatik
Version of the Document: Accepted for Publication
Depositing User: Gertraud Novotny
Date Deposited: 01 Feb 2018 11:30
Last Modified: 02 Feb 2018 12:27
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/82878/
URI: http://epub.wu.ac.at/id/eprint/6032

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