How useful is listings data for research?

Jens Kolbe, Rainer Schulz, Martin Wersing and Axel Werwatz

No 19 (2020), FORLand Working Papers from Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation"

Abstract: 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.

Keywords: hedonic modelling; nowcasting; price prediction; stochastic dominance (search for similar items in EconPapers)
JEL-codes: C14 C81 R31 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-ore and nep-ure
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:forlwp:192020

DOI: 10.18452/21038

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