What price peace? A comprehensive approach to the specification and estimation of hedonic housing price models

Brett Day, Ian Bateman, Iain Lake

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Previous work on hedonic price functions tends to have focused on one of a number of specification and estimation issues; namely, market segmentation, choice of functional form, multicollinearity or spatial autocorrelation. The purpose of this paper is to bring together these various strands to provide a comprehensive modelling approach. In particular we use a combination of factor analysis and cluster analysis to define market segments and reduce collinearity in the data. We adopt Robinson's semiparametric specification of the hedonic price function and account for spatial autocorrelation using Kelejian and Prucha's generalized moments estimator. The modelling approach is applied to a large and extremely detailed dataset for the City of Birmingham constructed from multiple data sources and compiled with the use of GIS. The focus of this application is the identification of implicit prices for noise pollution from road, rail and air traffic sources.

Original languageEnglish
Pages (from-to)1-49
Number of pages49
JournalWorking Paper - Centre for Social and Economic Research on the Global Environment
Issue number1
Publication statusPublished - 1 Dec 2003

Keywords

  • Clustering
  • Factor analysis
  • Hedonics
  • Market segmentation
  • Partially linear model
  • Spatial autocorrelation

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