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Spatial Growth Regressions: Model Specification, Estimation and Interpretation

This paper uses Bayesian model comparison methods to simultaneously specify both the
spatial weight structure and explanatory variables for a spatial growth regression involving
255 NUTS 2 regions across 25 European countries. In addition, a correct interpretation of
the spatial regression parameter estimates that takes into account the simultaneous feed-
back nature of the spatial autoregressive model is provided. Our findings indicate that
incorporating model uncertainty in conjunction with appropriate parameter interpretation
decreased the importance of explanatory variables traditionally thought to exert an important influence on regional income growth rates. (authors' abstract)

Identiferoai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:3968
Date04 1900
CreatorsLeSage, James P., Fischer, Manfred M.
PublisherWU Vienna University of Economics and Business
Source SetsWirtschaftsuniversität Wien
LanguageEnglish
Detected LanguageEnglish
TypePaper, NonPeerReviewed
Formatapplication/pdf
Relationhttp://epub.wu.ac.at/3968/

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