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On the uncertainty of real estate price predictions

dc.contributor.authorBastos, João A.
dc.contributor.authorPaquette, Jeanne
dc.date.accessioned2024-03-25T15:45:32Z
dc.date.available2024-03-25T15:45:32Z
dc.date.issued2024-03
dc.description.abstractUncertainty quantification associated with real estate appraisal has largely been overlooked in the literature. In this paper, we address this gap by analyzing the uncertainty in automated property valuations using conformal prediction, a distribution-free procedure for constructing prediction intervals with valid coverage in finite samples. Through an empirical study of property prices in the San Francisco Bay Area, we find that prediction intervals obtained using conformal quantile regression have exact coverage. In contrast, prediction intervals obtained from nonconformal quantile regressions severely undercover the data. Furthermore, we show that the intervals adapt to various characteristics of the dwellings, which is crucial given the heterogeneous nature of real estate data. Indeed, we observe that larger and older properties, those in both low and high-income neighborhoods, as well as those on the market for less than one year are more challenging to evaluate.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBastos, João A. e Jeanne Paquette (2024). "On the uncertainty of real estate price predictions". REM Working paper series, nº 0314/2024pt_PT
dc.identifier.issn2184-108X
dc.identifier.urihttp://hdl.handle.net/10400.5/30477
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherISEG – REM (Research in Economics and Mathematics)pt_PT
dc.relation.ispartofseriesREM Working paper series;nº 0314/2024
dc.relation.publisherversionhttps://rem.rc.iseg.ulisboa.pt/wps/pdf/REM_WP_0314_2024.pdfpt_PT
dc.subjectReal estatept_PT
dc.subjectAutomated valuation modelpt_PT
dc.subjectConformal predictionpt_PT
dc.subjectQuantile regressionpt_PT
dc.subjectMachine learningpt_PT
dc.titleOn the uncertainty of real estate price predictionspt_PT
dc.typeworking paper
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typeworkingPaperpt_PT

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