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Social Behaviour as a Basis for Modelling the Urban Housing Market

A Review

Bibliographic Data

ID14550419
AuthorsDavid Meen (Centre for Spatial and Real Estate Economics, Department of Economics, School of Business, The University of Reading, PO Box 219, Whiteknights, Reading RG6 6AW, UK), David E Meen (University of Reading), Geoffrey Meen (0000-0001-8502-9694, Centre for Spatial and Real Estate Economics, Department of Economics, School of Business, The University of Reading, PO Box 219, Whiteknights, Reading RG6 6AW, UK, corresponding author)
Year2003
Volume40
Issue5-6
Pages917-935
Publication date2003-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueUrban Studies (JOURNAL)
Journal identifiersISSN: 0042-0980 • E-ISSN: 1360-063X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1080/0042098032000074245
OpenAlexW2071038954
LanguageEN
Citations received28
References cited45

This paper considers how empirical models of urban housing markets might be constructed as a basis for policy analysis. It is suggested that this is fundamentally more difficult than national or regional models, because of particular characteristics of urban markets-notably, the importance of social interactions, non-linearity and segregation. However, recent advances in the modelling of social interactions point to a possible way forward. The paper begins by reviewing some aspects of this literature and shows how the models generate non-linearities consistent with recent work on thresholds in local housing markets. Simple cellular automata are also used to demonstrate this point and how segregation may arise. A review follows of work on discrete choice models, which include social interactions within their structure. Bringing all the tools together, it is suggested that there is now the potential to construct urban housing models, although a great deal of theoretical and empirical work remains to be done

Cellular automaton · Construct (python library) · Economic geography · Economics · Epistemology · Point (geometry) · Positive economics · Simple (philosophy) · Sociology · Work (physics) · Computer Science · Engineering · Housing Market and Economics · Housing, Finance, and Neoliberalism · Urban, Neighborhood, and Segregation Studies

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Unique citing works28
Citations per year1,27
Citation span2004 - 2023 (20)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 25

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