Hedonic modelling of housing markets using geographical information system and spatial statistics: Glasgow, Scotland

This paper presents the results of a simultaneous consideration of detailed accessibility measures and spatial autocorrelation in house price hedonic modelling. It illustrates the application of GIS and spatial statistics in the estimation of hedonic models for the entire housing market in Glasgow,...

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Main Authors: Ismail, Suriatini, MacGregor, Bryan
Format: Article
Language:English
English
English
English
Published: 2006
Online Access:http://eprints.utm.my/7320/
http://eprints.utm.my/7320/1/REER-UTMKL-26-270905.1of6.pdf
http://eprints.utm.my/7320/2/
http://eprints.utm.my/7320/3/REER-UTMKL-26-270905.2of6.pdf
http://eprints.utm.my/7320/4/REER-UTMKL-26-270905.doc
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author Ismail, Suriatini
MacGregor, Bryan
author_facet Ismail, Suriatini
MacGregor, Bryan
author_sort Ismail, Suriatini
building UTeM Institutional Repository
collection Online Access
description This paper presents the results of a simultaneous consideration of detailed accessibility measures and spatial autocorrelation in house price hedonic modelling. It illustrates the application of GIS and spatial statistics in the estimation of hedonic models for the entire housing market in Glasgow, Scotland, using 2,715 house prices for 2002 and 61 independent variables. GIS is used in this study to construct spatial variables including detailed accessibility measures, to help detect spatial autocorrelation, and for map visualisation. Spatial statistics are used to test formally and model explicitly the spatial autocorrelation. The results suggest that an individual accessibility measure is more influential than a zonal accessibility measure because the former is able to capture the micro effect of location on house price. Furthermore, the application of spatial statistics can produce more accurate and reliable estimates of implicit prices.
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institution Universiti Teknologi Malaysia
institution_category Local University
language English
English
English
English
last_indexed 2025-11-15T20:58:05Z
publishDate 2006
recordtype eprints
repository_type Digital Repository
spelling utm-73202012-05-23T00:43:20Z http://eprints.utm.my/7320/ Hedonic modelling of housing markets using geographical information system and spatial statistics: Glasgow, Scotland Ismail, Suriatini MacGregor, Bryan This paper presents the results of a simultaneous consideration of detailed accessibility measures and spatial autocorrelation in house price hedonic modelling. It illustrates the application of GIS and spatial statistics in the estimation of hedonic models for the entire housing market in Glasgow, Scotland, using 2,715 house prices for 2002 and 61 independent variables. GIS is used in this study to construct spatial variables including detailed accessibility measures, to help detect spatial autocorrelation, and for map visualisation. Spatial statistics are used to test formally and model explicitly the spatial autocorrelation. The results suggest that an individual accessibility measure is more influential than a zonal accessibility measure because the former is able to capture the micro effect of location on house price. Furthermore, the application of spatial statistics can produce more accurate and reliable estimates of implicit prices. 2006 Article NonPeerReviewed application/pdf en http://eprints.utm.my/7320/1/REER-UTMKL-26-270905.1of6.pdf application/pdf en http://eprints.utm.my/7320/2/ application/pdf en http://eprints.utm.my/7320/3/REER-UTMKL-26-270905.2of6.pdf application/msword en http://eprints.utm.my/7320/4/REER-UTMKL-26-270905.doc Ismail, Suriatini and MacGregor, Bryan (2006) Hedonic modelling of housing markets using geographical information system and spatial statistics: Glasgow, Scotland. International Real Estate Symposium (IRERS) 2006, INSPEN 11-13 April 2006 PWTC, Kuala Lumpur. . (Unpublished)
spellingShingle Ismail, Suriatini
MacGregor, Bryan
Hedonic modelling of housing markets using geographical information system and spatial statistics: Glasgow, Scotland
title Hedonic modelling of housing markets using geographical information system and spatial statistics: Glasgow, Scotland
title_full Hedonic modelling of housing markets using geographical information system and spatial statistics: Glasgow, Scotland
title_fullStr Hedonic modelling of housing markets using geographical information system and spatial statistics: Glasgow, Scotland
title_full_unstemmed Hedonic modelling of housing markets using geographical information system and spatial statistics: Glasgow, Scotland
title_short Hedonic modelling of housing markets using geographical information system and spatial statistics: Glasgow, Scotland
title_sort hedonic modelling of housing markets using geographical information system and spatial statistics: glasgow, scotland
url http://eprints.utm.my/7320/
http://eprints.utm.my/7320/1/REER-UTMKL-26-270905.1of6.pdf
http://eprints.utm.my/7320/2/
http://eprints.utm.my/7320/3/REER-UTMKL-26-270905.2of6.pdf
http://eprints.utm.my/7320/4/REER-UTMKL-26-270905.doc