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Spatial dependence and the representation of space in empirical models
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre of Excellence for Science and Innovation Studies, CESIS (closed 20110701).
KTH, School of Architecture and the Built Environment (ABE), Centres, Centre of Excellence for Science and Innovation Studies, CESIS (closed 20110701).
2009 (English)In: The annals of regional science, ISSN 0570-1864, E-ISSN 1432-0592, Vol. 43, no 1, 159-180 p.Article in journal (Refereed) Published
Abstract [en]

A well-formed spatial model should most likely not produce spatial autocorrelation at all. From this perspective spatial autocorrelation is not (pure) statistical nuisance but a sign of that a model lacks a representation of an important economic phenomenon. In a Knowledge Production Function (KPF) context, this paper shows that a representation of space reflecting the potential of physical interaction between localities by means of accessibility variables on the "right-hand-side"aEuro"a simple alternative to spatial lag and spatial error which can be estimated by OLS-captures substantive spatial dependence. Results are verified with Monte Carlo simulations based on Anselin's (Int Reg Sci Rev 26(2):153-166, 2003) taxonomy of modelled and unmodelled effects. The analysis demonstrates that an accessibility representation of explanatory variables depict the network nature of spatial interaction, such that spatial dependence is actually modelled.

Place, publisher, year, edition, pages
2009. Vol. 43, no 1, 159-180 p.
Keyword [en]
accessibility, autocorrelation
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:kth:diva-18146DOI: 10.1007/s00168-008-0211-5ISI: 000262990100009Scopus ID: 2-s2.0-59649085831OAI: oai:DiVA.org:kth-18146DiVA: diva2:336192
Note

QC 20100525

Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2017-12-12Bibliographically approved

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