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Understanding the impact of trails on residential property values in the presence of spatial dependence

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  • Olivier Parent

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  • Rainer Hofe

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    Abstract

    This paper examines the impacts of a multi-purpose trail on residential property values in a hedonic model. Using a large housing data set in combination with street network distances, we show that proximity to trail entrances positively effects property values. Among other things, our study compares the hedonic model results from three different spatial specifications. We pay specific attention to the direct and indirect effects on residential property prices associated with potential changes in house characteristics. In addition, our study predicts property values around trail entrances using a ‘modified spatial predictive process’ approach that is well suited for capturing spatial dependence in large data sets. Copyright Springer-Verlag Berlin Heidelberg 2013

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    File URL: http://hdl.handle.net/10.1007/s00168-012-0543-z
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    Bibliographic Info

    Article provided by Springer in its journal The Annals of Regional Science.

    Volume (Year): 51 (2013)
    Issue (Month): 2 (October)
    Pages: 355-375

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    Handle: RePEc:spr:anresc:v:51:y:2013:i:2:p:355-375

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    Related research

    Keywords: C11; C21; R21;

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    1. James Valente & ShanShan Wu & Alan Gelfand & C.F. Sirmans, 2005. "Apartment Rent Prediction Using Spatial Modeling," Journal of Real Estate Research, American Real Estate Society, vol. 27(1), pages 105-136.
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    3. Paul Asabere & Forrest Huffman, 2009. "The Relative Impacts of Trails and Greenbelts on Home Price," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 408-419, May.
    4. John M. Clapp & Anupam Nanda & Stephen L. Ross, 2005. "Which School Attributes Matter? The Influence of School District Performance and Demographic Composition on Property Values," Working papers 2005-26, University of Connecticut, Department of Economics, revised Jan 2007.
    5. James P. LeSage & R. Kelley Pace, 2004. "Models for Spatially Dependent Missing Data," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 233-254, 09.
    6. Kiel, Katherine & Zabel, Jeffrey, 2001. "Estimating the Economic Benefits of Cleaning Up Superfund Sites: The Case of Woburn, Massachusetts," The Journal of Real Estate Finance and Economics, Springer, vol. 22(2-3), pages 163-84, March-May.
    7. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    8. Brian J. L. Berry & Robert S. Bednarz, 1975. "A Hedonic Model of Prices and Assessments for Single-Family Homes: Does the Assessor Follow the Market or the Market Follow the Assessor?," Land Economics, University of Wisconsin Press, vol. 51(1), pages 21-40.
    9. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132.
    10. Allen Lynch & David Rasmussen, 2001. "Measuring the impact of crime on house prices," Applied Economics, Taylor & Francis Journals, vol. 33(15), pages 1981-1989.
    11. Finley, Andrew O. & Sang, Huiyan & Banerjee, Sudipto & Gelfand, Alan E., 2009. "Improving the performance of predictive process modeling for large datasets," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2873-2884, June.
    12. Cheshire, Paul & Sheppard, Stephen, 1995. "On the Price of Land and the Value of Amenities," Economica, London School of Economics and Political Science, vol. 62(246), pages 247-67, May.
    13. David M. Brasington, 1999. "Which Measures of School Quality Does the Housing Market Value?," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 395-414.
    14. Cotteleer, Geerte & van Kooten, G. Cornelis, 2012. "Expert opinion versus actual transaction evidence in the valuation of non-market amenities," Economic Modelling, Elsevier, vol. 29(1), pages 32-40.
    15. Sudipto Banerjee & Alan E. Gelfand & Andrew O. Finley & Huiyan Sang, 2008. "Gaussian predictive process models for large spatial data sets," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(4), pages 825-848.
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