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Theoretical and Empirical Considerations Regarding Space in Hedonic Housing Price Model Applications

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  • William M. Bowen
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    Abstract

    Recent advances in spatial data analysis are making their way into a variety of applied research settings. Once purely the domain of specialists, increased availability of both spatial data and the software with which to handle them, spatial analysis techniques are diffusing into other areas of research. This article first details the rationale and need for spatial considerations in hedonic price models and focuses on the link between the context of the housing market and the statistical considerations necessary when dealing with spatial data. These issues are then explored via an application to the housing market of Cuyahoga County, Ohio. It was found, first, that explicit modeling of space is not always warranted. One of our two models shows no substantial signs of spatial misspecification. However, in the second model, where diagnostic tests call for the explicit modeling of space, some drastic differences were found between the space-neglected model and the more correctly specified spatial hedonic model. This highlights the need to include spatial diagnostics as part of the standard model-fitting procedure for hedonic house price applications. Copyright 2001 Gatton College of Business and Economics, University of Kentucky.

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    Bibliographic Info

    Article provided by Gatton College of Business and Economics, University of Kentucky in its journal Growth and Change.

    Volume (Year): 32 (2001)
    Issue (Month): 4 ()
    Pages: 466-490

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    Handle: RePEc:bla:growch:v:32:y:2001:i:4:p:466-490

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    Cited by:
    1. Hansen, Winslow D. & Naughton, Helen T., 2013. "The effects of a spruce bark beetle outbreak and wildfires on property values in the wildland–urban interface of south-central Alaska, USA," Ecological Economics, Elsevier, vol. 96(C), pages 141-154.
    2. Davidovska Stojanova, Biljana & Jovanovic, Branimir & Kadievska Vojnovic, Maja & Ramadani, Gani & Petrovska, Magdalena, 2008. "Real Estate Prices in the Republic of Macedonia," MPRA Paper 43166, University Library of Munich, Germany.
    3. Alejandro García Pozo, 2008. "Determinantes del precio de la vivienda usada en Málaga: Una aplicación de la metodología hedónica," Revista de Estudios Regionales, Universidades Públicas de Andalucía, vol. 2, pages 135-158.
    4. Jeffrey P. Cohen & Cletus C. Coughlin, 2008. "Spatial Hedonic Models Of Airport Noise, Proximity, And Housing Prices," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 859-878.
    5. Biljana Davidovska Stojanova & Branimir Jovanovic & Maja Kadievska Vojnovic & Gani Ramadani & Magdalena Petrovska, 2008. "Real Estate Prices In The Republic Of Macedonia," Working Papers 2008-03, National Bank of the Republic of Macedonia.
    6. Liu, Sezhu & Hite, Diane, 2013. "Measuring the Effect of Green Space on Property Value: An Application of the Hedonic Spatial Quantile Regression," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143045, Southern Agricultural Economics Association.
    7. Bing Zhu & Roland Füss & Nico Rottke, 2011. "The Predictive Power of Anisotropic Spatial Correlation Modeling in Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 42(4), pages 542-565, May.
    8. Christopher Bitter & Gordon Mulligan & Sandy Dall’erba, 2007. "Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method," Journal of Geographical Systems, Springer, vol. 9(1), pages 7-27, April.
    9. Ottensmann, John R. & Payton, Seth & Man, Joyce, 2008. "Urban Location and Housing Prices within a Hedonic Model," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(1).

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