Spatiotemporal analysis of urban land prices: a distributional regression approach

Felinto J. Costa, Rodrigo R. Pescim, Luiz R. Nakamura, Mariana R. Urbano, Viviane C. Silva and Thiago G. Ramires

Spatial Economic Analysis, 2025, vol. 20, issue 2, 333-345

Abstract: Real estate assets exhibit significant heterogeneity, and their market prices involve complex spatiotemporal dynamics. Capturing this complexity requires considering various intrinsic and extrinsic attributes, in addition to time, as urban landscape is neither temporally nor spatially static. This paper proposes a spatiotemporal hedonic model using distributional regression models, generating surface prices for the study area spanning any desired time period. Assuming that the spatial arrangement of urban area prices reflects economic, social and political aspects, this becomes essential in studies conducted by various sectors of society such as urban policymakers and planners, legal operators and banking and real estate professionals.

Date: 2025
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DOI: 10.1080/17421772.2025.2486144

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