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

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 27 Jul 2022 04:40

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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 ...