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  • Search: subject:"Bayesian spatial econometrics"
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Year of publication
Subject
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Bayesian spatial econometrics 3 Spatial econometrics 2 Spatial heterogeneity 2 Coastal 1 Deutschland 1 Hedonic price method 1 LUP zoning 1 Modell-Spezifikation 1 Querschnittsanalyse 1 Raumwirtschaftstheorie 1 Region 1 Räumliche Interaktion 1 Schätzung 1 Theorie 1 Wissenstransfer 1 Ökonometrie 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 1
Language
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English 2 French 1
Author
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Klarl, Torben 2 DANTAS, Monique 1 GASCHET, Frédéric 1 POUYANNE, Guillaume 1
Institution
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Groupe de Recherche en Économie Théorique et Appliquée (GREThA), Université de Bordeaux 1 Zentrum für Europäische Wirtschaftsforschung (ZEW) 1
Published in...
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ZEW Discussion Papers 2 Cahiers du GREThA 1
Source
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RePEc 2 EconStor 1
Showing 1 - 3 of 3
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Spatial model selection and spatial knowledge spillovers: a regional view of Germany
Klarl, Torben - 2010
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...
Persistent link: https://www.econbiz.de/10010299933
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Regulatory zoning and coastal housing prices: a bayesian hedonic approach (In French)
DANTAS, Monique; GASCHET, Frédéric; POUYANNE, Guillaume - Groupe de Recherche en Économie Théorique et … - 2010
The priority for France’s “Grenelle II” environmental legislation is to reduce the consumption of space caused by urbanisation. The best tool for achieving this goal is zoning within a territorial planning framework. Yet zoning also tends to increase property values, due to the scarcity...
Persistent link: https://www.econbiz.de/10008498378
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Cover Image
Spatial model selection and spatial knowledge spillovers: a regional view of Germany
Klarl, Torben - Zentrum für Europäische Wirtschaftsforschung (ZEW) - 2010
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...
Persistent link: https://www.econbiz.de/10008615606
Saved in:
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