A computer-assisted expert algorithm for real estate valuation in Spanish cities

Beatriz Larraz, José-Luis Alfaro-Navarro, Emilio L Cano, Esteban Alfaro-Cortes, Noelia Garcia and Matías Gámez

Environment and Planning B, 2021, vol. 48, issue 6, 1712-1727

Abstract: Some of the most overlooked valuation systems in current literature are those based on expert algorithms. Yet these algorithms can form the basis of a good estimation of the value of real estate since they allow simple computational methods that use big data to be integrated with the appraiser’ own knowledge of the situation. The main usefulness of the methodology is an ongoing mortgage risk appraisal for banking institutions. The current expert algorithms based on the sales comparison approach use the arithmetic mean of the comparable prices. But this mean gives equal importance to all neighbouring dwellings instead of giving more importance to those dwellings which are more similar and are nearer to the target dwelling. Improving the classical arithmetic mean or the more robust median, this article proposes a computer-assisted expert algorithm which includes a weighted estimator able to consider the differences in characteristics compared to similar properties and their relative locations. It allows to estimate, in a simple and rapid way using objective criteria, the value of any residential property in Spain. The results show good fit for large cities in terms of the usual error margins while improving the results with regards to smaller cities. In all cases, in terms of mean absolute percentage error, the weighted estimator improves the arithmetic mean or median results.

Keywords: Real state; Automated Valuation Model; expert algorithm; weighted estimator; R programme; computer-assisted; Spain (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:48:y:2021:i:6:p:1712-1727

DOI: 10.1177/2399808320947729

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