Logo of Humboldt-Universität zu BerlinLogo of Humboldt-Universität zu Berlin
edoc-Server
Open-Access-Publikationsserver der Humboldt-Universität
de|en
Header image: facade of Humboldt-Universität zu Berlin
View Item 
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften
  • FORLand Working Papers
  • View Item
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften
  • FORLand Working Papers
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
View Item 
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften
  • FORLand Working Papers
  • View Item
  • edoc-Server Home
  • Schriftenreihen und Sammelbände
  • Fakultäten und Institute der HU
  • Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften
  • FORLand Working Papers
  • View Item
2020-01Diskussionspapier DOI: 10.18452/21038
How useful is listings data for research?
Kolbe, Jens cc
Schulz, Rainer
Wersing, Martin
Werwatz, Axel
Lebenswissenschaftliche Fakultät
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.
Files in this item
Thumbnail
FORLand-2020-19.pdf — Adobe PDF — 5.780 Mb
MD5: b8c226d426bad4d053306a03c6e993a6
Notes
Cite
BibTeX
EndNote
RIS
(CC BY-NC-ND 3.0 DE) Namensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland(CC BY-NC-ND 3.0 DE) Namensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland(CC BY-NC-ND 3.0 DE) Namensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland(CC BY-NC-ND 3.0 DE) Namensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland
Details
DINI-Zertifikat 2019OpenAIRE validatedORCID Consortium
Imprint Policy Contact Data Privacy Statement
A service of University Library and Computer and Media Service
© Humboldt-Universität zu Berlin
 
DOI
10.18452/21038
Permanent URL
https://doi.org/10.18452/21038
HTML
<a href="https://doi.org/10.18452/21038">https://doi.org/10.18452/21038</a>