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Bayesian Model Averaging In The Context Of Spatial Hedonic Pricing: An Application To Farmland Values

Author

Listed:
  • 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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Geerte Cotteleer & Tracy Stobbe & G. Cornelis van Kooten, 2011. "Bayesian Model Averaging In The Context Of Spatial Hedonic Pricing: An Application To Farmland Values," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 540-557, August.
    • Handle: RePEc:bla:jregsc:v:51:y:2011:i:3:p:540-557
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    Cited by:

    1. 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.
    2. 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.
    3. Geerte Cotteleer & Tracy Stobbe & G. Cornelis van Kooten, 2008. "Expert Opinion versus Transaction Evidence: Using the Reilly Index to Measure Open Space premiums in the Urban-Rural Fringe," Working Papers 2008-06, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    4. Marques, Felipe César & Telles, Tiago Santos, 2023. "Spatial effects are determinants of agricultural land prices in Brazil," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 61(3), January.
    5. Ryan Greenaway-McGrevy & Kade Sorensen, 2021. "A spatial model averaging approach to measuring house prices," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-32, December.

    More about this item

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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