Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/80288
Authors: 
Day, Brett
Bateman, Ian
Lake, Iain
Year of Publication: 
2006
Series/Report no.: 
CSERGE Working Paper EDM 06-03
Abstract: 
For many industrialised nations environmental noise is emerging as a local pollutant of major concern. Incorporating such concerns into policy guidance tools such as social cost benefit analysis requires estimates of the monetised benefits of noise reduction. Using a two-stage hedonic pricing methodology we estimate a system of structural demand equations for different sources of transport-related noise. Our application applies state-of-the-art econometric techniques. In the first stage, we identify market segments using model-based clustering techniques and estimate separate hedonic price functions for each segment. We spatially smooth the data to account for omitted spatial covariates and employ a semiparametric estimator to allow flexibility in functional form. In the second stage, we control for nonlinearity of the budget constraint and identify demand relationships using techniques that account for problems of endogeneity and censoring of the dependent variable. We report welfare estimates for peace and quiet that we believe to be the first derived from property market data in a theoretically consistent manner.
Subjects: 
demand system
hedonic pricing
model-based clustering
Noise valuation
partial linear model
simultaneous-equation Tobit
spatial autocorrelation
JEL: 
Q51
C14
C21
C24
Document Type: 
Working Paper

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