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Asymmetric buyer information influence on price in a homogeneous housing market

Bibliographic Data

ID10864867
AuthorsXiaorong Zhou (0000-0002-6016-1995, Southwestern University of Finance and Economics, corresponding author), Karen M Gibler (0009-0005-3824-1787, Georgia State University), Karen Gibler (Georgia State University), Velma Zahirovic-Herbert (0000-0003-3552-3912, The University of Georgia, USA)
Year2015
Volume52
Issue5
Pages891-905
Publication date2015-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueUrban Studies (JOURNAL)
Journal identifiersISSN: 0042-0980 • E-ISSN: 1360-063X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0042098014529464
OpenAlexW2139610806
LanguageEN
Citations received13
References cited23

Buyers often pay different prices for almost identical houses. One possible explanation is that there are information asymmetries in housing markets. Perhaps, buyers from outside the area have higher search costs and know less about the local market relative to that of current residents. In addition, an out-of-town buyer’s price expectations could be anchored to market prices in their town of origin. This study examines the effect of buyer heterogeneity in the form of geographic location on house prices. We use a new data set to examine the non-local buyer information asymmetry and anchoring hypothesis. Using transaction data from a large development in Chengdu, China, our empirical models are estimated with relatively homogeneous units sold over a short period of time by one seller to minimise possible bias resulting from omitted variables. Our results support the hypotheses that non-local buyers pay higher prices and that high price anchoring occurs

Anchoring · Business · Database transaction · Econometrics · Economics · Hedonic Pricing · Homogeneous · Information asymmetry · Microeconomics · Transaction data · Economic and Environmental Valuation · Housing Market and Economics · Urban Planning and Valuation

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Unique citing works13
Citations per year1,63
Citation span2018 - 2026 (9)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 13

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