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A Bayesian approach to hedonic price analysis*
Journal article

A Bayesian approach to hedonic price analysis*

Abstract

Two important objectives in hedonic price analysis are to predict sale prices and delineate submarkets based on geographical and functional considerations. In this paper, we applied Bayesian models with spatially varying coefficients in an analysis of housing sale prices in the city of Toronto, Ontario to address these objectives. We evaluated model performance and identified patterns of submarkets indicated by the spatial coefficient …

Authors

Wheeler DC; Páez A; Spinney J; Waller LA

Journal

Papers of the Regional Science Association, Vol. 93, No. 3, pp. 663–684

Publisher

Elsevier

Publication Date

8 2014

DOI

10.1111/pirs.12003

ISSN

1056-8190