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Space-time approach to commercial property prices valuation

  • José-María Montero-Lorenzo
  • Beatriz Larraz-Iribas

There exists three ways of approaching real estate prices: the cost approach, the market data approach and the income capitalization approach. In this article, we propose an improvement of the market data approach that takes into account the spatial component. In particular, we propose a modified market data approach based on interpolation, being the structure of the spatial correlation between the prices of properties the main factor to obtain the weights. Interpolation methods have been widely used for estimating real estate prices, but they do not take into account the structure of their spatial dependence. Although this drawback is overcome by kriged estimation, in the case of the prices of commercial properties, they do not provide good estimates because the scarceness of the market information. This is why auxiliary information is needed and cokriging methods are used to obtain estimates that are more accurate. The aim of this article is the comparison of cokriged estimation of premises prices in two different temporal moments in the emblematic old part of Toledo city (Spain), using housing prices as an auxiliary random function due to their strong correlation with the main one. Cokriging, kriging and inverse distance weighting results are compared.

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File URL: http://hdl.handle.net/10.1080/00036846.2011.581212
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Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 44 (2012)
Issue (Month): 28 (October)
Pages: 3705-3715

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Handle: RePEc:taf:applec:44:y:2012:i:28:p:3705-3715
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  1. Ingrid Gould Ellen & Amy Ellen Schwartz & Ioan Voicu & Michael H. Schill, 2007. "Does federally subsidized rental housing depress neighborhood property values?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(2), pages 257-280.
  2. John M. Clapp & Hyon-Jung Kim & Alan E. Gelfand, 2002. "Predicting Spatial Patterns of House Prices Using LPR and Bayesian Smoothing," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(4), pages 505-532.
  3. Timothy J. Fik & David C. Ling & Gordon F. Mulligan, 2003. "Modeling Spatial Variation in Housing Prices: A Variable Interaction Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(4), pages 623-646, December.
  4. Alan E. Gelfand & Mark D. Ecker & John R. Knight & C. F. Sirmans, 2004. "The Dynamics of Location in Home Price," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 149-166, 09.
  5. Goodman, Allen C. & Thibodeau, Thomas G., 2003. "Housing market segmentation and hedonic prediction accuracy," Journal of Housing Economics, Elsevier, vol. 12(3), pages 181-201, September.
  6. A. F. Militino & M. D. Ugarte & L. García-Reinaldos, 2004. "Alternative Models for Describing Spatial Dependence among Dwelling Selling Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 193-209, 09.
  7. Elaine M. Worzala & Margarita Lenk & Ana Silva, 1995. "An Exploration of Neural Networks and Its Application to Real Estate Valuation," Journal of Real Estate Research, American Real Estate Society, vol. 10(2), pages 185-202.
  8. David M. Brasington & Diane Hite, . "Demand for Environmental Quality: A Spatial Hedonic Approach," Departmental Working Papers 2005-08, Department of Economics, Louisiana State University.
  9. Basu, Sabyasachi & Thibodeau, Thomas G, 1998. "Analysis of Spatial Autocorrelation in House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 61-85, July.
  10. Jorge Chica-Olmo, 2007. "Prediction of Housing Location Price by a Multivariate Spatial Method: Cokriging," Journal of Real Estate Research, American Real Estate Society, vol. 29(1), pages 95-114.
  11. Luc Anselin & Nancy Lozano-Gracia, 2008. "Errors in variables and spatial effects in hedonic house price models of ambient air quality," Empirical Economics, Springer, vol. 34(1), pages 5-34, February.
  12. I-Chun Tsai & Ming-Chi Chen & Tai Ma, 2010. "Modelling house price volatility states in the UK by switching ARCH models," Applied Economics, Taylor & Francis Journals, vol. 42(9), pages 1145-1153.
  13. Wojciech Florkowski & Camilo Sarmiento, 2005. "The examination of pecan price differences using spatial correlation estimation," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 271-278.
  14. Peter Scott & Guy Judge, 2000. "Cycles and steps in British commercial property values," Applied Economics, Taylor & Francis Journals, vol. 32(10), pages 1287-1297.
  15. Jose M. Montero & Beatriz Larraz, 2011. "Interpolation methods for geographical data: Housing and commercial establishment markets," Journal of Real Estate Research, American Real Estate Society, vol. 33(2), pages 233-244.
  16. Bradford Case & John Clapp & Robin Dubin & Mauricio Rodriguez, 2004. "Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 167-191, 09.
  17. Din, A. & Hoesli, M. & Bender, A., 2001. "Environmental Variables and Real Estate Prices," Papers 2001.04, Ecole des Hautes Etudes Commerciales, Universite de Geneve-.
  18. David Brasington & D. Hite, . "Demand for Environmental Quality: A Spatial Hedonic Analysis," Departmental Working Papers 2003-02, Department of Economics, Louisiana State University.
  19. 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.
  20. Dubin, Robin A, 1998. "Predicting House Prices Using Multiple Listings Data," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 35-59, July.
  21. 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..
  22. Goodman, Allen C., 1978. "Hedonic prices, price indices and housing markets," Journal of Urban Economics, Elsevier, vol. 5(4), pages 471-484, October.
  23. 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.
  24. M Tiefelsdorf & B Boots, 1995. "The Exact Distribution of Moran's I," Environment and Planning A, , vol. 27(6), pages 985-999, June.
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