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Bayesian Model Averaging in the Context of Spatial Hedonic Pricing: An Application to Farmland Values

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Author Info

  • Geerte Cotteleer
  • Tracy Stobbe
  • G. Cornelis van Kooten

Abstract

Since 1973, British Columbia created an Agricultural Land Reserve to protect farmland from development. In this study, we employ GIS-based hedonic pricing models of farmland values to examine factors that affect farmland prices. We take spatial lag and error dependence into explicit account. However, the use of spatial econometric techniques in hedonic pricing models is problematic because there is uncertainty with respect to the choice of the explanatory variables and the spatial weighting matrix. Bayesian model averaging techniques in combination with Markov Chain Monte Carlo Model Composition are used to allow for both types of model uncertainty.

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File URL: https://web.uvic.ca/~repa/publications/REPA%20working%20papers/WorkingPaper2007-07.pdf
File Function: Final version, 2007
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Bibliographic Info

Paper provided by University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group in its series Working Papers with number 2007-07.

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Length: 30 pages
Date of creation: Nov 2007
Date of revision:
Handle: RePEc:rep:wpaper:2007-07

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Keywords: Bayesian model averaging; Markov Chain Monte Carlo Model Composition; spatial econometrics; hedonic pricing; GIS; urban-rural fringe; farmland fragmentation;

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References

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  1. Colwell, Peter F. & Munneke, Henry J., 1997. "The Structure of Urban Land Prices," Journal of Urban Economics, Elsevier, vol. 41(3), pages 321-336, May.
  2. Olivier Parent & James P. Lesage, 2007. "Bayesian Model Averaging for Spatial Econometric Models ," University of Cincinnati, Economics Working Papers Series 2007-02, University of Cincinnati, Department of Economics.
  3. 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..
  4. Carmen Fernandez & E Ley & Mark F J Steel, 2004. "Benchmark priors for Bayesian models averaging," ESE Discussion Papers 66, Edinburgh School of Economics, University of Edinburgh.
  5. Colwell, Peter F & Munneke, Henry J, 1999. "Land Prices and Land Assembly in the CBD," The Journal of Real Estate Finance and Economics, Springer, vol. 18(2), pages 163-80, March.
  6. Pace, R Kelley, et al, 1998. "Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 15-33, July.
  7. James Lesage & Manfred Fischer, 2008. "Spatial Growth Regressions: Model Specification, Estimation and Interpretation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 275-304.
  8. Jean CavailhËs & Pierre Wavresky, 2003. "Urban influences on periurban farmland prices," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(3), pages 333-357, September.
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Citations

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Cited by:
  1. Zhen Xu & G. Cornelis van Kooten, 2012. "Estimation of Forest Fire-fighting Budgets Using Climate Indexes," Working Papers 2012-03, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
  2. Cotteleer, Geerte & Stobbe, Tracy & van Kooten, G. Cornelis, 2008. "Expert Opinion Versus Transaction Evidence: Using The Reilly Index To Measure Open Space Premiums In The Urban-Rural Fringe," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6705, European Association of Agricultural Economists.
  3. Seya, Hajime & Yamagata, Yoshiki & Tsutsumi, Morito, 2013. "Automatic selection of a spatial weight matrix in spatial econometrics: Application to a spatial hedonic approach," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 429-444.

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