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Provedor de dados:  AgEcon
País:  United States
Título:  Bayesian Model Averaging in the Context of Spatial Hedonic Pricing: An Application to Farmland Values
Autores:  Cotteleer, Geerte
Stobbe, Tracy
van Kooten, G. Cornelis
Data:  2008-06-10
Ano:  2007
Palavras-chave:  Bayesian model averaging
Markov Chain Monte Carlo Model Composition
Spatial econometrics
Hedonic pricing
GIS
Urban-rural fringe
Farmland fragmentation
Environmental Economics and Policy
Farm Management
Land Economics/Use
R11
R15
C50
R14
Resumo:  Since 1973, British Columbia created an Agricultural Land Reserve to protect farmland from development. In this study, we employ GIS-based hedonic pricing models of farmland values to examine factors that affect farmland prices. We take spatial lag and error dependence into explicit account. However, the use of spatial econometric techniques in hedonic pricing models is problematic because there is uncertainty with respect to the choice of the explanatory variables and the spatial weighting matrix. Bayesian model averaging techniques in combination with Markov Chain Monte Carlo Model Composition are used to allow for both types of model uncertainty.
Tipo:  Working or Discussion Paper
Idioma:  Inglês
Identificador:  http://purl.umn.edu/37046
Relação:  University of Victoria>Resource and Environmental Economics and Policy Analysis Research Group>Working Papers
REPA Working Paper
2007-07
Formato:  30
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