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Income, Value and Returns in Socially Responsible Office Properties

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  • Gary Pivo

    ()
    (University of Arizona)

  • Jeffrey D. Fisher

    ()
    (Indiana University)

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    Abstract

    This paper compares alternative methods for taking spatial dependence into account in house price prediction. We select hedonic methods that have been reported in the literature to perform relatively well in terms of ex-sample prediction accuracy. Because differences in performance may be due to differences in data, we compare the methods using a single data set. The estimation methods include simple OLS, a two-stage process incorporating nearest neighbors’ residuals in the second stage, geostatistical, and trend surface models. These models take into account submarkets by adding dummy variables or by estimating separate equations for each submarket. Based on data for approximately 13,000 transactions from Louisville, Kentucky, we conclude that a geostatistical model with disaggregated submarket variables performs best.

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    File URL: http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/past/vol32n03/01.243_270.pdf
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    Bibliographic Info

    Article provided by American Real Estate Society in its journal journal of Real Estate Research.

    Volume (Year): 32 (2010)
    Issue (Month): 3 ()
    Pages: 243-270

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    Handle: RePEc:jre:issued:v:32:n:3:2010:p:243-270

    Contact details of provider:
    Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
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    Web page: http://www.aresnet.org/

    Order Information:
    Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
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    Web: http://aux.zicklin.baruch.cuny.edu/jrer/about/get.htm

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    Cited by:
    1. Fuerst, Franz & McAllister, Pat, 2011. "Eco-labeling in commercial office markets: Do LEED and Energy Star offices obtain multiple premiums?," Ecological Economics, Elsevier, vol. 70(6), pages 1220-1230, April.
    2. Fuerst, Franz & McAllister, Patrick, 2011. "The impact of Energy Performance Certificates on the rental and capital values of commercial property assets," Energy Policy, Elsevier, vol. 39(10), pages 6608-6614, October.
    3. Parkinson, Aidan & De Jong, Robert & Cooke, Alison & Guthrie, Peter, 2013. "Energy performance certification as a signal of workplace quality," Energy Policy, Elsevier, vol. 62(C), pages 1493-1505.

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