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Spatial Dependence in Hedonic Property Models: Do Different Corrections For Spatial Dependence Result in Economically Significant Differences in Estimated Implicit Prices?

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Author Info

  • Mueller, Julie M.
  • Loomis, John B.

Abstract

While data used in hedonic property models are inherently spatial in nature, to date the majority of past regression analyses have used OLS models that overlook possible spatial dependence in the data when estimating implicit prices for environmental hazards. This paper explicitly addresses spatial dependence in a hedonic property model. We use robust testing procedures to determine the existence and type of spatial dependence in our OLS model. After identifying the nature of the spatial dependence, OLS estimates of the implicit price of wildfire risk are compared to implicit prices obtained using a spatial error model with three different spatial weighting matrices. Spatially corrected estimates of implicit prices are often found to be nearly the same as those obtained using OLS. Our results indicate that the inefficiency of OLS in the presence of spatially correlated errors may not always be economically significant, suggesting nonspatial hedonic property models may provide results useful for policy analysis, and spatial and nonspatial hedonic property models may provide results useful for policy analysis, and spatial and nonspatial hedonic property models might be pooled in meta-analysis.

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Bibliographic Info

Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

Volume (Year): 33 (2008)
Issue (Month): 2 (August)
Pages:

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Handle: RePEc:ags:jlaare:42459

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Web page: http://waeaonline.org/
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Related research

Keywords: Forest fires; Hedonic property models; Spatial econometrics; Resource /Energy Economics and Policy;

References

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  1. Kathleen P. Bell & Timothy J. Dalton, 2007. "Spatial Economic Analysis in Data-Rich Environments," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 487-501, 09.
  2. Kurt J. Beron & James C. Murdoch & Mark A. Thayer & Wim P. M. Vijverberg, 1997. "An Analysis of the Housing Market before and after the 1989 Loma Prieta Earthquake," Land Economics, University of Wisconsin Press, vol. 73(1), pages 101-113.
  3. Brasington, David M. & Hite, Diane, 2005. "Demand for environmental quality: a spatial hedonic analysis," Regional Science and Urban Economics, Elsevier, vol. 35(1), pages 57-82, January.
  4. Garth Holloway & Donald Lacombe & James P. LeSage, 2007. "Spatial Econometric Issues for Bio-Economic and Land-Use Modelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 549-588, 09.
  5. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
  6. Kim, Chong Won & Phipps, Tim T. & Anselin, Luc, 1998. "Measuring The Benefits Of Air Quality Improvement: A Spatial Hedonic Approach," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20959, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  7. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
  8. Hunt, Len M. & Boxall, Peter & Englin, Jeffrey & Haider, Wolfgang, 2005. "Remote tourism and forest management: a spatial hedonic analysis," Ecological Economics, Elsevier, vol. 53(1), pages 101-113, April.
  9. Cropper, Maureen L & Deck, Leland B & McConnell, Kenneth E, 1988. "On the Choice of Functional Form for Hedonic Price Functions," The Review of Economics and Statistics, MIT Press, vol. 70(4), pages 668-75, November.
  10. Subhrendu K. Pattanayak & David T. Butry, 2005. "Spatial Complementarity of Forests and Farms: Accounting for Ecosystem Services," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 995-1008.
  11. David M. Brasington & Diane Hite, . "Demand for Environmental Quality: A Spatial Hedonic Approach," Departmental Working Papers 2005-08, Department of Economics, Louisiana State University.
  12. Boxall, Peter C. & Chan, Wing H. & McMillan, Melville L., 2005. "The impact of oil and natural gas facilities on rural residential property values: a spatial hedonic analysis," Resource and Energy Economics, Elsevier, vol. 27(3), pages 248-269, October.
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Cited by:
  1. Shyam Adhikari & Eric J. Belasco & Thomas O. Knight, 2010. "Spatial producer heterogeneity in crop insurance product decisions within major corn producing states," Agricultural Finance Review, Emerald Group Publishing, vol. 70(1), pages 66-78, May.
  2. 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.
  3. Heintzelman, Martin D. & Walsh, Patrick J. & Grzeskowiak, Dustin J., 2013. "Explaining the appearance and success of open space referenda," Ecological Economics, Elsevier, vol. 95(C), pages 108-117.
  4. Monique DANTAS (GREThA UMR CNRS 5113) & Frédéric GASCHET (GREThA UMR CNRS 5113) & Guillaume POUYANNE (GREThA UMR CNRS 5113), 2010. "Regulatory zoning and coastal housing prices: a bayesian hedonic approach (In French)," Cahiers du GREThA 2010-12, Groupe de Recherche en Economie Théorique et Appliquée.
  5. Pandit, Ram & Polyakov, Maksym & Sadler, Rohan, 2012. "The importance of tree cover and neighbourhood parks in determining urban property values," 2012 Conference (56th), February 7-10, 2012, Freemantle, Australia 124357, Australian Agricultural and Resource Economics Society.

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