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Expert judgement in the Processes of Commercial Property Market Forecasting

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  • Paul Gallimore

    (School of Property & Construction, Nottingham Trent University)

  • Patrick McAllister

    (Department of Real Estate & Planning, University of Reading Business School)

Abstract

In this paper we investigate the role of judgement in the formation of forecasts in commercial real estate markets. Based on interview surveys with the majority of forecast producers, we find that real estate forecasters are using a range of inputs and data sets to form models to predict an array of variables for a range of locations. The findings suggest that forecasts need to be acceptable to their users (and purchasers) and consequently forecasters generally have incentives to avoid presenting contentious or conspicuous forecasts. Where extreme forecasts are generated by a model, forecasters often engage in 'self-censorship' or are 'censored' following in-house consultation. It is concluded that the forecasting process is more complex than merely carrying out econometric modelling and that the impact of the influences within this process vary considerably across different organizational contexts.

Suggested Citation

  • Paul Gallimore & Patrick McAllister, 2004. "Expert judgement in the Processes of Commercial Property Market Forecasting," Real Estate & Planning Working Papers rep-wp2004-11, Henley Business School, University of Reading.
    • Handle: RePEc:rdg:repxwp:rep-wp2004-11
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    File URL: http://www.reading.ac.uk/LM/LM/fulltxt/1104.pdf
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    References listed on IDEAS

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    Cited by:

    1. Patrick Mcallister & Graeme Newell & George Matysiak, 2008. "Agreement and Accuracy in Consensus Forecasts of the UK Commercial Property Market," Journal of Property Research, Taylor & Francis Journals, vol. 25(1), pages 1-22, June.
    2. Patrick Krieger & Carsten Lausberg, 2021. "Entscheidungen, Entscheidungsfindung und Entscheidungsunterstützung in der Immobilienwirtschaft: Eine systematische Literaturübersicht [Decisions, decision-making and decisions support systems in r," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 7(1), pages 1-33, April.
    3. Peter Öhman & Bo Söderberg & Ola Uhlin, 2011. "Accuracy of Swedish property appraisers’ forecasts of net operating income," Journal of Property Research, Taylor & Francis Journals, vol. 29(2), pages 103-122, November.
    4. Changha Jin & Paul Gallimore, 2010. "The effects of information presentation on real estate market perceptions," Journal of Property Research, Taylor & Francis Journals, vol. 27(3), pages 239-246, April.
    5. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2012. "Examination of property forecasting models - accuracy and its improvement through combination forecasting," ERES eres2012_082, European Real Estate Society (ERES).

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