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Beyond implicit prices: recovering theoretically consistent and transferable values for noise avoidance from a hedonic property price model Author info | Abstract | Publisher info | Download info | Related research | Statistics Brett Day ()
Ian Bateman
Iain Lake
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Using a two-stage hedonic pricing methodology we estimate a system of structural demand equations for different sources of transport-related noise. In the first stage, we identify market segments using model-based clustering techniques and estimate separate hedonic price functions (HPFs) for each segment. In so doing, we show how a semiparametric spatial smoothing estimator outperforms other standard specifications of the HPF. In the second stage, we control for non-linearity of the budget constraint and identify demand relationships using techniques that account for problems of endogeneity and censoring of the dependent variable. Our estimated demand functions provide welfare estimates for peace and quiet that we believe to be the first derived from property market data in a theoretically consistent manner. Copyright Springer Science+Business Media, Inc. 2007
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Article provided by European Association of Environmental and Resource Economists in its journal Environmental and Resource Economics .
Volume (Year): 37 (2007)
Issue (Month): 1 (May)
Pages: 211-232
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Handle: RePEc:kap:enreec:v:37:y:2007:i:1:p:211-232Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=100263
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Keywords: Noise ; Non-market valuation ; Hedonic pricing ; Model-based clustering ; Partial linear model ; Spatial smoothing ; Demand system ; Simultaneous-equation Tobit ; Q51 ; C14 ; C21 ; C24 ; Other versions of this item:
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