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Spatial hedonic models of airport noise, proximity, and housing prices

  • Jeffrey P. Cohen
  • Cletus C. Coughlin

Despite the refrain that housing prices are determined by "location, location, and location," no prior studies of airport noise and housing prices have incorporated spatial econometric techniques. We compare various spatial econometric models and estimation methods in a hedonic price framework to examine the impact of noise on 2003 housing values near the Atlanta airport. Spatial effects are best captured by a model including both spatial autocorrelation and autoregressive parameters estimated by a generalized moments approach. The inclusion of spatial effects magnifies the negative price impacts of airport noise. Finally, after controlling for noise, houses farther from the airport tend to sell for less, implying that airport proximity is an amenity.

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File URL: http://research.stlouisfed.org/wp/2006/2006-026.pdf
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Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number 2006-026.

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Date of creation: 2006
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Handle: RePEc:fip:fedlwp:2006-026
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  1. McMillen, Daniel P., 2004. "Airport expansions and property values: the case of Chicago O'Hare Airport," Journal of Urban Economics, Elsevier, vol. 55(3), pages 627-640, May.
  2. Luc Anselin & Harry H. Kelejian, 1997. "Testing for Spatial Error Autocorrelation in the Presence of Endogenous Regressors," International Regional Science Review, , vol. 20(1-2), pages 153-182, April.
  3. Jeffrey P. Cohen & Cletus C. Coughlin, 2008. "Airport-related noise, proximity, and housing prices in Atlanta," Working Papers 2005-060, Federal Reserve Bank of St. Louis.
  4. Dubin, Robin A., 1992. "Spatial autocorrelation and neighborhood quality," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 433-452, September.
  5. Can, Ayse, 1992. "Specification and estimation of hedonic housing price models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 453-474, September.
  6. William M. Bowen, 2001. "Theoretical and Empirical Considerations Regarding Space in Hedonic Housing Price Model Applications," Growth and Change, Wiley Blackwell, vol. 32(4), pages 466-490.
  7. 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).
  8. Jon P. Nelson, 2004. "Meta-Analysis of Airport Noise and Hedonic Property Values," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 38(1), pages 1-27, January.
  9. Molly Espey, 2000. "The Impact of Airport Noise and Proximity on Residential Property Values," Growth and Change, Wiley Blackwell, vol. 31(3), pages 408-419.
  10. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
  11. Dubin, Robin A, 1988. "Estimation of Regression Coefficients in the Presence of Spatially Autocorrelated Error Terms," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 466-74, August.
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