How useful is listings data for research?

Arbeitspapier

Compared to other asset classes, information on transactions of residential real estate is scarce and available only with delay. Listing information from web-platforms is abundant and timely. Is listings data useful for research? We examine this question and find that distributions of ask and sale prices differ significantly, both because of characteristics composition and implicit pricing. Estimates of the average willingness to pay from ask data can be widely off when compared with estimates from sale data. Ask data is also not useful to predict prices of individual houses and suffer from large error variances. Quality-controlled ask and sale price indices show similar trends and we find that an ask price index can be used for nowcasting. Overall, our analysis shows that ask data has limited potential for research, and is no substitute for sale data.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: FORLand-Working Paper ; No. 19 (2020)

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Semiparametric and Nonparametric Methods: General ; Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access ; Housing Supply and Markets
• Thema: hedonic modelling ; nowcasting ; price prediction ; stochastic dominance

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Kolbe, Jens ; Schulz, Rainer ; Wersing, Martin ; Werwatz, Axel
• Ereignis: Veröffentlichung
• (wer): Humboldt-Universität zu Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets - Efficiency and Regulation"
• (wo): Berlin
• (wann): 2020

Weitere Informationen

• DOI: doi:10.18452/21038
• Handle: http://hdl.handle.net/10419/213123
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ