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Housing Prices in Tucson, Arizona

Bibliographic Data

ID11670458
AuthorsGordon F Mulligan (0000-0003-0485-0144, University of Arizona, corresponding author), Raymond S Franklin (0000-0002-2614-4665, United States Census Bureau), Rachel Franklin, Adrian Esparza (University of Arizona), Adrian X Esparza
Year2002
Volume23
Issue5
Pages446-470
Publication date2002-08-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueUrban Geography (JOURNAL)
Journal identifiersISSN: 0272-3638 • E-ISSN: 1938-2847
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.2747/0272-3638.23.5.446
OpenAlexW2079708861
LanguageEN
Citations received1
References cited28

The hedonic approach is used to analyze selling prices for housing units in greater Tucson, Arizona, during 1998. Using over 6,400 Multiple Listing Service transactions, ordinary least-squares regression is used to estimate implicit prices for the amount of living space, age of the unit, and other housing attributes in this rapidly growing southwestern city. Price premiums are estimated for nine different real estate districts, which realtors believe are different housing submarkets. Regression estimates are also given for the difference between original list price and selling price, thereby indicating how sellers and buyers differentially evaluated housing attributes. Nearly 3,700 transactions (from an overlapping data set) were geocoded, and these cases are examined in somewhat more detail. Spatial heterogeneity in selling prices is addressed but spatial dependency is not. The statistics of the hedonic price functions compare favorably with those for other U.S. cities

Cartography · Econometrics · Economics · Economy · Geocoding · Geography · Hedonic index · Hedonic Pricing · Hedonic regression · House price · Listing (finance · Ordinary least squares · Price index · Real estate · Residential real estate · Service (business · Unit (ring theory · Computer Science · Economic and Environmental Valuation · Housing Market and Economics · Mathematics · Spatial and Panel Data Analysis · Finance

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Unique citing works1
Citations per year0,07
Citation span2011 - 2011 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1
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