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Day, B, Bateman, I and Lake, I 
ORCID: https://orcid.org/0000-0003-4407-5357
(2006)
Estimating the demand for peace and quiet using property market data.
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.
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| UEA Research Groups: | University of East Anglia Schools > Faculty of Science > Tyndall Centre for Climate Change Research Faculty of Science > Research Centres > Tyndall Centre for Climate Change Research Faculty of Science > Research Groups > Environmental Social Sciences |
| Depositing User: | Rosie Cullington |
| Date Deposited: | 25 Jan 2011 11:45 |
| Last Modified: | 14 Jun 2023 14:28 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/19523 |
| DOI: |
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