| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Applying Geographically Weighted Regression to Conjoint Analysis: Empirical Findings from Urban Park Amenities
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| Autores: |
Tanaka, Katsuya
Yoshida, Kentaro
Kawase, Yasushi
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| Data: |
2008-05-07
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| Ano: |
2008
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| Palavras-chave: |
Choice experiments
Conjoint analysis
Dogrun
Geographically weighted regression
Spatial econometrics
Research Methods/ Statistical Methods
Resource /Energy Economics and Policy
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| 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.
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| Tipo: |
Conference Paper or Presentation
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| Idioma: |
Inglês
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| Identificador: |
30149
http://purl.umn.edu/6233
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| Relação: |
American Agricultural Economics Association>2008 Annual Meeting, July 27-29, 2008, Orlando, Florida
Selected Paper
470056
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| Formato: |
13
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