The predictive performance of multi-level models of housing submarkets: a comparative analysis

Much of the housing submarket literature has focused on establishing methods that allow the partitioning of data into distinct market segments. This paper seeks to move the focus on to the question of how best to model submarkets once they have been identified. It focuses on evaluating effectiveness...

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Main Authors: Costello, Greg, Leishman, C., Rowley, Steven, Watkins, C.
Format: Conference Paper
Published: Pacific Rim Real Estate Society Conference 2012
Subjects:
Online Access:http://www.prres.net/index.htm?http://www.prres.net/Conference/2012Conference.htm
http://hdl.handle.net/20.500.11937/37690
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author Costello, Greg
Leishman, C.
Rowley, Steven
Watkins, C.
author_facet Costello, Greg
Leishman, C.
Rowley, Steven
Watkins, C.
author_sort Costello, Greg
building Curtin Institutional Repository
collection Online Access
description Much of the housing submarket literature has focused on establishing methods that allow the partitioning of data into distinct market segments. This paper seeks to move the focus on to the question of how best to model submarkets once they have been identified. It focuses on evaluating effectiveness of multi-level models as a technique for modelling submarkets. The paper uses data on housing transactions from Perth, Western Australia, to develop and compare three competing submarket modelling strategies. Model one consists of a citywide "benchmark", model two provides a series of submarket-specific hedonic estimates (this is the ‘industry standard’) and models three and four provide two variants on the multi-level model (differentiated by variation in the degrees of spatial granularity embedded in the model structure). The results suggest that greater granularity enhances performance, although improvements in predictive accuracy will not necessarily offer compelling grounds for the adoption of the multi-level approach.
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format Conference Paper
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institution Curtin University Malaysia
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last_indexed 2025-11-14T08:51:13Z
publishDate 2012
publisher Pacific Rim Real Estate Society Conference
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spelling curtin-20.500.11937-376902023-02-07T08:00:03Z The predictive performance of multi-level models of housing submarkets: a comparative analysis Costello, Greg Leishman, C. Rowley, Steven Watkins, C. hedonic models prediction accuracy Housing economics submarkets multi-level models Much of the housing submarket literature has focused on establishing methods that allow the partitioning of data into distinct market segments. This paper seeks to move the focus on to the question of how best to model submarkets once they have been identified. It focuses on evaluating effectiveness of multi-level models as a technique for modelling submarkets. The paper uses data on housing transactions from Perth, Western Australia, to develop and compare three competing submarket modelling strategies. Model one consists of a citywide "benchmark", model two provides a series of submarket-specific hedonic estimates (this is the ‘industry standard’) and models three and four provide two variants on the multi-level model (differentiated by variation in the degrees of spatial granularity embedded in the model structure). The results suggest that greater granularity enhances performance, although improvements in predictive accuracy will not necessarily offer compelling grounds for the adoption of the multi-level approach. 2012 Conference Paper http://hdl.handle.net/20.500.11937/37690 http://www.prres.net/index.htm?http://www.prres.net/Conference/2012Conference.htm Pacific Rim Real Estate Society Conference restricted
spellingShingle hedonic models
prediction accuracy
Housing economics
submarkets
multi-level models
Costello, Greg
Leishman, C.
Rowley, Steven
Watkins, C.
The predictive performance of multi-level models of housing submarkets: a comparative analysis
title The predictive performance of multi-level models of housing submarkets: a comparative analysis
title_full The predictive performance of multi-level models of housing submarkets: a comparative analysis
title_fullStr The predictive performance of multi-level models of housing submarkets: a comparative analysis
title_full_unstemmed The predictive performance of multi-level models of housing submarkets: a comparative analysis
title_short The predictive performance of multi-level models of housing submarkets: a comparative analysis
title_sort predictive performance of multi-level models of housing submarkets: a comparative analysis
topic hedonic models
prediction accuracy
Housing economics
submarkets
multi-level models
url http://www.prres.net/index.htm?http://www.prres.net/Conference/2012Conference.htm
http://hdl.handle.net/20.500.11937/37690