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Housing Prices in Tucson, Arizona

Datos Bibliográficos

ID11670458
AutoresGordon F Mulligan (0000-0003-0485-0144, University of Arizona, autor de correspondencia), Raymond S Franklin (0000-0002-2614-4665, United States Census Bureau), Rachel Franklin, Adrian Esparza (University of Arizona), Adrian X Esparza
Año2002
Volumen23
Número5
Páginas446-470
Fecha de publicación2002-08-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaUrban Geography (JOURNAL)
Identificadores de la revistaISSN: 0272-3638 • E-ISSN: 1938-2847
EditorialTaylor & Francis (PUBLISHER • GB)
DOI10.2747/0272-3638.23.5.446
OpenAlexW2079708861
IdiomaEN
Citas recibidas1
Referencias citadas28

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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Obras citantes distintas1
Citas por año0,07
Intervalo de citas2011 - 2011 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 1
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