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Projecting Spatial Pattern of Housing Growth in Tennessee

  • Cho, Seong-Hoon
  • Clark, Christopher D.
  • Park, William M.

Housing growth in Tennessee that incorporates spatial spillover and spatial heterogeneity at the level of census-block group is projected. A deterministic interpolation technique is adopted to create alternative neighborhood variables that captures spatial spillover of neighborhood effects on housing growth without multicollinearity. The maps drawn using the geographically weighted regression parameter estimates revealed that the local marginal effect of the housing price increases on housing growth gradually increases as one moves eastward. The population growth in the adjacent neighborhood-block group has about 10% of marginal effect of population growth in its own block group. The marginal effect of population growth is relatively higher in the approximate area of Cumberland Plateau while the local marginal effect of spatial spillover of population growth in adjacent neighbor is relatively higher in the East Tennessee and also the area South of Nashville.

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Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2005 Annual meeting, July 24-27, Providence, RI with number 19392.

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Date of creation: 2005
Date of revision:
Handle: RePEc:ags:aaea05:19392
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  1. Allen C. Goodman, 1977. "A Comparison of Block Group and Census Tract Data in a Hedonic Housing Price Model," Land Economics, University of Wisconsin Press, vol. 53(4), pages 483-487.
  2. Dubin, Robin A., 1992. "Spatial autocorrelation and neighborhood quality," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 433-452, September.
  3. Meen, Geoffrey & Andrew, Mark, 1998. "On the Aggregate Housing Market Implications of Labour Market Change," Scottish Journal of Political Economy, Scottish Economic Society, vol. 45(4), pages 393-419, September.
  4. Geoghegan, Jacqueline & Wainger, Lisa A. & Bockstael, Nancy E., 1997. "Spatial landscape indices in a hedonic framework: an ecological economics analysis using GIS," Ecological Economics, Elsevier, vol. 23(3), pages 251-264, December.
  5. Dubin, Robin A., 1998. "Spatial Autocorrelation: A Primer," Journal of Housing Economics, Elsevier, vol. 7(4), pages 304-327, December.
  6. Melser, Daniel, 2005. "The Hedonic Regression Time-Dummy Method and the Monotonicity Axioms," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 485-492, October.
  7. Daniel P. McMillen, 2003. "Spatial Autocorrelation Or Model Misspecification?," International Regional Science Review, , vol. 26(2), pages 208-217, April.
  8. Can, Ayse, 1992. "Specification and estimation of hedonic housing price models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 453-474, September.
  9. LeSage, James P., 1997. "Regression Analysis of Spatial Data," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 27(2).
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