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Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach

URN to cite this document:
urn:nbn:de:bvb:355-epub-526571
DOI to cite this document:
10.5283/epub.52657
Deppner, Juergen ; Cajias, Marcelo
[img]License: Creative Commons Attribution 4.0
PDF - Published Version
(1MB)
Date of publication of this fulltext: 27 Jul 2022 04:40


Abstract

Data-driven machine learning algorithms have initiated a paradigm shift in hedonic house price and rent modeling through their ability to capture highly complex and non-monotonic relationships. Their superior accuracy compared to parametric model alternatives has been demonstrated repeatedly in the literature. However, the statistical independence of the data implicitly assumed by ...

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