Article (Scientific journals)
Tracking Home-Owners’ Sentiments: Subjective Indices and Convergent Validity
Waltl, Sofie R.; LEPINTEUR, Anthony
2025In Journal of Real Estate Finance and Economics, 70 (4), p. 706 - 734
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Keywords :
Convergent validity; House price indices; Housing markets; Subjective data; Accounting; Finance; Economics and Econometrics; Urban Studies
Abstract :
[en] Surveys regularly ask home-owners to guess what their property might be worth in the current housing market. We develop suitable statistical techniques to construct hedonic and repeat-sales style house price indices from these owner-estimated values (OEVs). The resulting series are then linked to a large set of quality-adjusted residential property price indices estimated from transaction data allowing us to perform a variety of convergent validity tests. Based on results for 20 countries, several decades and different OEV elicitation techniques, we conclude that the “wisdom of the home-owner crowd” is sufficient to study objective house price dynamics. Yet, surveys fail to accurately measure house price levels.
Disciplines :
Special economic topics (health, labor, transportation...)
Author, co-author :
Waltl, Sofie R. ;  Vienna University of Economics and Business, Vienna, Austria ; Luxembourg Institute of Socio-Economic Research (LISER), Esch-Sur-Alzette/Belval, Luxembourg
LEPINTEUR, Anthony  ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) > Health and Behaviour
External co-authors :
yes
Language :
English
Title :
Tracking Home-Owners’ Sentiments: Subjective Indices and Convergent Validity
Publication date :
May 2025
Journal title :
Journal of Real Estate Finance and Economics
ISSN :
0895-5638
eISSN :
1573-045X
Publisher :
Springer
Volume :
70
Issue :
4
Pages :
706 - 734
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Fonds National de la Recherche Luxembourg
Vienna University of Economics and Business
Funding text :
We gratefully acknowledge funding through the FNR Luxembourg National Research Fund, CORE Grant No. 3886 (ASSESS). Open access funding is provided by Vienna University of Economics and Business (WU).
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since 11 December 2025

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