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Sales comparison approach, multiple regression analysis and the implicit prices of housing

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  • Gaetano Lisi

Abstract

By using two of the main evaluation methods, namely the sales comparison approach and the multiple regression analysis, this paper points out the key role of implicit prices of housing characteristics in real estate appraisal. Firstly, this paper confirms the close link existing between the sales comparison approach and the multiple regression analysis. Furthermore, unlike examples in the related literature, this paper highlights the difference between marginal and implicit prices of housing characteristics. Although the related literature expresses awareness of the methodology for calculating marginal and implicit prices, there appears to be less awareness that implicit prices can: 1) lead to an estimate of the house price that is different from the regression model-predicted price; 2) replace the crucial and non-trivial phase of adjustment and reconciliation that characterises the main appraisal method, namely, the popular Sales Comparison Approach. Finally, an empirical analysis provides evidence of the key role of implicit prices in estimating house value.

Suggested Citation

  • Gaetano Lisi, 2019. "Sales comparison approach, multiple regression analysis and the implicit prices of housing," Journal of Property Research, Taylor & Francis Journals, vol. 36(3), pages 272-290, July.
    • Handle: RePEc:taf:jpropr:v:36:y:2019:i:3:p:272-290
    DOI: 10.1080/09599916.2019.1651755
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    Cited by:

    1. Copiello Sergio & Cecchinato Filippo & Haj Salih Mohammed, 2021. "The Effect of Hybrid Attributes on Property Prices," Real Estate Management and Valuation, Sciendo, vol. 29(4), pages 36-52, December.
    2. Lee Changro, 2021. "Determinants of farmland prices and their local variation," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 54(54), pages 77-87, December.

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