Spatial model selection and spatial knowledge spillovers : a regional view of Germany

Klarl, Torben

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URL:	http://ub-madoc.bib.uni-mannheim.de/2876
URN:	urn:nbn:de:bsz:180-madoc-28761
Document Type:	Working paper
Year of publication:	2010
The title of a journal, publication series:	None
Publication language:	English
Institution:	Sonstige Einrichtungen > ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung
MADOC publication series:	Veröffentlichungen des ZEW (Leibniz-Zentrum für Europäische Wirtschaftsforschung) > ZEW Discussion Papers
Subject:	330 Economics
Classification:	JEL: C52 C31 C11 ,
Subject headings (SWD):	Deutschland , Raumwirtschaftstheorie , Ökonometrie , Modellierung , Querschnittsanalyse , Potenzialmodell , Wissenschaftstransfer
Keywords (English):	Spatial econometrics , Bayesian spatial econometrics , Spatial heterogeneity
Abstract:	The aim of this paper is to introduce a new model selection mechanism for cross sectional spatial models. This method is more flexible than the approach proposed by Florax et al. (2003) since it controls for spatial dependence as well as for spatial heterogeneity. In particular, Bayesian and Maximum-Likelihood (ML) estimation methods are employed for model selection. Furthermore, higher order spatial influence is considered. The proposed method is then used to identify knowledge spillovers from German NUTS-2 regional data. One key result of the study is that spatial heterogeneity matters. Thus, robust estimation can be achieved by controlling for both phenomena.
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Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.

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