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Using the Spatial Configuration of the Data to Improve Estimation

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  • Pace, R Kelley
  • Gilley, Otis W

Abstract

Using the well-known Harrison and Rubinfeld (1978) hedonic pricing data, this manuscript demonstrates the substantial benefits obtained by modeling the spatial dependence of the errors. Specifically, the estimated errors on the spatial autoregression fell by 44% relative to OLS. The spatial autoregression corrects predicted values by a nonparametric estimate of the error on nearby observations and thus mimics the behavior of appraisers. The spatial autoregression, by formally incorporating the areal configuration of the data to increase predictive accuracy and estimation efficiency, has great potential in real estate empirical work. Copyright 1997 by Kluwer Academic Publishers

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Bibliographic Info

Article provided by Springer in its journal Journal of Real Estate Finance & Economics.

Volume (Year): 14 (1997)
Issue (Month): 3 (May)
Pages: 333-40

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Handle: RePEc:kap:jrefec:v:14:y:1997:i:3:p:333-40

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Web page: http://www.springerlink.com/link.asp?id=102945

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Cited by:
  1. Johannes Hoffmann & Claudia Kurz, 2002. "Rent indices for housing in West Germany 1985 to 1998," Working Paper Series 116, European Central Bank.
  2. Ida Ferrara & Stephen McComb & Paul Missios, 2007. "Local Willingness-to-Pay Estimates for the Remediation of the Sydney Tar Ponds in Nova Scotia," Canadian Public Policy, University of Toronto Press, vol. 33(4), pages 441-458, December.
  3. Day, BH, 2005. "Hedonic analysis of property markets: theory and applications to UK cities ," Open Access publications from University College London http://discovery.ucl.ac.u, University College London.
  4. Claude Besner, 2002. "A Spatial Autoregressive Specification with a Comparable Sales Weighting Scheme," Journal of Real Estate Research, American Real Estate Society, vol. 24(2), pages 193-212.
  5. Kim, Jungik & Goldsmith, Peter D. & Thomas, Michael H., 2004. "Using Spatial Econometrics To Assess The Impact Of Swine Production On Residential Property Values," 2004 Annual meeting, August 1-4, Denver, CO 20186, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  6. Alfons, Andreas & Croux, Christophe & Gelper, Sarah, 2011. "Sparse least trimmed squares regression," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/314738, Katholieke Universiteit Leuven.
  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. Christophe Croux & Peter Exterkate, 2011. "Sparse and Robust Factor Modelling," Tinbergen Institute Discussion Papers 11-122/4, Tinbergen Institute.
  9. Delores Conway & Christina Li & Jennifer Wolch & Christopher Kahle & Michael Jerrett, 2010. "A Spatial Autocorrelation Approach for Examining the Effects of Urban Greenspace on Residential Property Values," The Journal of Real Estate Finance and Economics, Springer, vol. 41(2), pages 150-169, August.
  10. Jungik Kim & Peter Goldsmith, 2009. "A Spatial Hedonic Approach to Assess the Impact of Swine Production on Residential Property Values," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 42(4), pages 509-534, April.
  11. LE GALLO, Julie, 2000. "Econométrie spatiale 1 -Autocorrélation spatiale," LATEC - Document de travail - Economie (1991-2003) 2000-05, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
  12. Steven Bourassa & Eva Cantoni & Martin Hoesli, 2007. "Spatial Dependence, Housing Submarkets, and House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 143-160, August.
  13. Wang, Li & Ready, Richard C., 2005. "Spatial Econometric Approaches to Estimating Hedonic Property Value Models," 2005 Annual meeting, July 24-27, Providence, RI 19174, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  14. Kiefer, Hua, 2011. "The house price determination process: Rational expectations with a spatial context," Journal of Housing Economics, Elsevier, vol. 20(4), pages 249-266.
  15. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
  16. Ming-Long Lee & R. Kelley Pace, 2005. "Spatial Distribution of Retail Sales," The Journal of Real Estate Finance and Economics, Springer, vol. 31(1), pages 53-69, August.
  17. Palmquist, Raymond B., 2006. "Property Value Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 16, pages 763-819 Elsevier.
  18. Kelley Pace, R., 1997. "Performing large spatial regressions and autoregressions," Economics Letters, Elsevier, vol. 54(3), pages 283-291, July.
  19. José-María Montero-Lorenzo & Beatriz Larraz-Iribas & Antonio Páez, 2009. "Estimating commercial property prices: an application of cokriging with housing prices as ancillary information," Journal of Geographical Systems, Springer, vol. 11(4), pages 407-425, December.
  20. Sharada Vadali, 2008. "Toll roads and economic development: exploring effects on property values," The Annals of Regional Science, Springer, vol. 42(3), pages 591-620, September.

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