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Mass appraisal without statistical estimation: a simplified comparable sales approach based on a spatiotemporal matrix

Sonia Yousfi (), Jean Dubé, Diègo Legros () and Sotirios Thanos
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Sonia Yousfi: Université de Bourgogne
Diègo Legros: Université de Bourgogne

The Annals of Regional Science, 2020, vol. 64, issue 2, No 6, 349-365

Abstract: Abstract For mass appraisal in real estate, the hedonic pricing method (HPM) tends to be most commonly used by academic researchers, while the comparable sales approach (CSA) is mostly preferred by professionals. This paper shows how CSA is a constrained version of a spatial autoregressive model, which can be implemented by simple matrix calculations. The CSA takes into account information on individual characteristics identifying similar complex goods, spatial proximity reflecting similar spatial amenities and temporal constraints by only selecting past sales. Using US transaction data from Lucas County, Ohio, we compare CSA to a-spatial HPM results and conduct an out-of-sample exercise to gauge the prediction performance of the two approaches. The findings suggest that CSA is a very useful tool for mass appraisal, especially when the number of independent variables available is limited.

JEL-codes: C21 C40 R10 R15 (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s00168-019-00959-2

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