Applying Geographically Weighted Regression to Conjoint Analysis: Empirical Findings from Urban Park Amenities

Katsuya Tanaka, Kentaro Yoshida and Yasushi Kawase

No 6233, 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: 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.

Keywords: Choice experiments; conjoint analysis; dogrun; geographically weighted regression; spatial econometrics; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm, nep-geo, nep-tur and nep-ure
Date: 2008

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Persistent link: http://EconPapers.repec.org/RePEc:ags:aaea08:6233

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