Modelling spatial autocorrelation in spatial interaction data

Fischer, Manfred M. ORCID: and Griffith, Daniel A. (2007) Modelling spatial autocorrelation in spatial interaction data. WU Vienna University of Economics and Business, Vienna.


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Spatial interaction models of the gravity type are widely used to model origindestination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterise an origin region of a flow, variables that characterise a destination region of a flow, and finally variables that measure the separation between origin and destination regions. This paper outlines and compares two approaches, the spatial econometric and the eigenfunction-based spatial filtering approach, to deal with the issue of spatial autocorrelation among flow residuals. An example using patent citation data that capture knowledge flows across 112 European regions serves to illustrate the application and the comparison of the two approaches.

Item Type: Paper
Keywords: spatial autocorrelation / spatial interaction models / eigenfunction-based spatial filtering / spatial econometrics
Classification Codes: JEL C13, C31, R15
Divisions: Departments > Sozioökonomie > Wirtschaftsgeographie und Geoinformatik > Fischer
Depositing User: ePub Administrator
Date Deposited: 09 Jul 2014 13:56
Last Modified: 04 Nov 2019 14:30


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