Towards the 4th generation - an essay on innovations in residential property value modelling expertise

Author: Tom Kauko

Source: Journal of Property Research, Volume 21, Number 1, March 2004 , pp. 75-97(23)

Publisher: Routledge, part of the Taylor & Francis Group

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Abstract:

This essay discusses a variety of possibilities for improving current residential property valuation methodology. At present the inertia is unfavourable for innovative research within this field. It could, however, be argued that sustainability and other goals justify the effort to improve this state of affairs. With the focus on a relatively undeveloped European residential valuation academia in terms of innovations in modelling expertize, the proposition is to accommodate some of the following approaches: strict quantitative methods based on parametric hedonic regression; flexible (i.e. non/semiparametric) quantitative methods, that are still formally accommodated within mainstream economic modelling; flexible quantitative methods based on machine learning; rule-based expert systems of valuation; and methods, that use judgemental data (4th generation). Each of the techniques is evaluated in order to identify problems and subsequently appropriate directions for research are proposed. While having its obvious limitations, a method based on interviewing may serve a purpose in certain well-specified problem settings.

Keywords: valuation; method; quantitative; qualitative; parametric

Document Type: Research article

DOI: http://dx.doi.org/10.1080/0959991042000255631

Affiliations: 1: OTB Research Institute for Housing, Urban and Mobility Studies, TU Delft, Jaffalaan 9, Postbus 5030, NL-2600 GA Delft, The Netherlands. Kauko@ otb.tudelft.nl

Publication date: 2004-03-01

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