Data/hora: 11/06/2024 14:31:27

Provedor de dados: 	Research in Agricultural & Applied Economics (AgEcon Searh)	
País: 	United States	
Título: 	Applying Geographically Weighted Regression to Conjoint Analysis: Empirical Findings from Urban Park Amenities	
Autores: 	Tanaka,   Katsuya; Yoshida,   Kentaro; Kawase,   Yasushi.	
Data: 	2008-05-07	
Ano: 	2008	
Palavras-chave: 	Choice experiments; Conjoint analysis; Dogrun; Geographically weighted regression; Spatial econometrics; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy.	
Resumo: 	The objective of this study is to develop spatially-explicit choice model and investigate its validity and applicability in CA studies. This objective is achieved by applying locally-regressed geographically weighted regression (GWR) and GIS to survey data on hypothetical dogrun facilities (off-leash dog area) in urban recreational parks in Tokyo, Japan. Our results show that spatially-explicit conditional logit model developed in this study outperforms traditional model in terms of data fit and prediction accuracy. Our results also show that marginal willingness-to-pay for various attributes of dogrun facilities has significant spatial variation. Analytical procedure developed in this study can reveal spatially-varying individual preferences on attributes of urban park amenities, and facilitates area-specific decision makings in urban park planning.	
Tipo: 	Conference Paper or Presentation	
Idioma: 	Inglês	
Identificador: 	30149

http://purl.umn.edu/6233	
Relação: 	American Agricultural Economics Association&gt;2008 Annual Meeting, July 27-29, 2008, Orlando, Florida

Selected Paper

470056	
Formato: 	13