Data/hora: 08/06/2024 11:57:21

Provedor de dados: 	Research in Agricultural & Applied Economics (AgEcon Searh)	
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&gt;Resource and Environmental Economics and Policy Analysis Research Group&gt;Working Papers

REPA Working Paper

2007-07	
Formato: 	30