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Bayesians in Space: Using Bayesian Methods to Inform Choice of Spatial Weights Matrix in Hedonic Property Analyses

  • Mueller, Julie M.

    (Northern Arizona University)

  • Loomis, John B.

    (Colorado State University)

The choice of weights is a non-nested problem in most applied spatial econometric models. Despite numerous recent advances in spatial econometrics, the choice of spatial weights remains exogenously determined by the researcher in empirical applications. Bayesian techniques provide statistical evidence regarding the simultaneous choice of model specification and spatial weights matrices by using posterior probabilities. This paper demonstrates the Bayesian estimation approach in a spatial hedonic property model estimating the impacts of repeated wildfires on house prices in Southern California. We find that improper choice of spatial model and weights can result in up to 5% difference in estimated coefficients and in our case study up to a $15 Million difference in total benefits of reducing wildfires in Los Angeles County.

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File URL: http://journal.srsa.org/ojs/index.php/RRS/article/view/3/115
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Article provided by Southern Regional Science Association in its journal Review of Regional Studies.

Volume (Year): 40 (2010)
Issue (Month): 3 ()
Pages: 245-255

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Handle: RePEc:rre:publsh:v:40:y:2010:i:3:p:245-255
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  1. 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).
  2. 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.
  3. Gawande, Kishore & Jenkins-Smith, Hank, 2001. "Nuclear Waste Transport and Residential Property Values: Estimating the Effects of Perceived Risks," Journal of Environmental Economics and Management, Elsevier, vol. 42(2), pages 207-233, September.
  4. 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..
  5. Kathleen P. Bell & Nancy E. Bockstael, 2000. "Applying the Generalized-Moments Estimation Approach to Spatial Problems Involving Microlevel Data," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 72-82, February.
  6. 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.
  7. David Brasington & D. Hite, . "Demand for Environmental Quality: A Spatial Hedonic Analysis," Departmental Working Papers 2003-02, Department of Economics, Louisiana State University.
  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.
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