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Do Incomers Pay More for Rural Housing

Bibliographic Data

ID5014971
AuthorsNan Liu (0009-0003-4309-5513, Centre for Real Estate Research, University of Aberdeen Business School, Edward Wright Building, Dunbar Street, Aberdeen AB24 3QY, Scotland UK, corresponding author), Deborah Roberts (0000-0002-5115-3459, Centre for Real Estate Research, University of Aberdeen Business School, Edward Wright Building, Dunbar Street, Aberdeen AB24 3QY, Scotland UK, corresponding author)
Year2012
Volume44
Issue8
Pages1986-2005
Publication date2012-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a44495
OpenAlexW2061245030
LanguageEN
Citations received6
References cited33

The paper explores whether incomers pay a price premium for rural housing and, if so, whether it varies according to the origin of the buyer. Empirical analysis focuses on Aberdeenshire, Scotland, distinguishing between housing in the accessible and remote rural locations within the region. Buyers originating from Aberdeen city are found to pay more than locals in accessible rural housing markets, with the price premium highest in the high-quality housing-market segment. There is, however, no evidence that a price premium is paid by in-migrants from more distant locations. In contrast, consistent with information asymmetry and higher search costs, buyers from the rest of the UK are found to pay significantly more for high-quality properties in the remote rural area. From a methodological perspective the findings support the use of multilevel models which allow for unobserved neighbourhood effects

Business · Economics · Empirical evidence · Information asymmetry · Microeconomics · Price premium · Rural area · Rural housing · Willingness to pay · Housing Market and Economics · Housing, Finance, and Neoliberalism · Urban, Neighborhood, and Segregation Studies

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Unique citing works6
Citations per year1
Citation span2020 - 2025 (6)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 6

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