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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," few 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 prices 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. In our preferred model, houses located in an area in which noise disrupts normal activities (defined by a day-night sound level of 70-75 decibels) sell for 20.8 percent less than houses located where noise does not disrupt normal activities (defined by a day-night sound level below 65 decibels). The inclusion of spatial effects magnifies the negative price impacts of airport noise. Finally, after controlling for noise, houses farther from the airport sell for less; the price elasticity with respect to distance is - 0.15, implying that airport proximity is an amenity. Copyright (c) 2008, Wiley Periodicals, Inc.

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Article provided by Wiley Blackwell in its journal Journal of Regional Science.

Volume (Year): 48 (2008)
Issue (Month): 5 ()
Pages: 859-878

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Handle: RePEc:bla:jregsc:v:48:y:2008:i:5:p:859-878
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  1. 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.
  2. 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.
  3. 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).
  4. 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.
  5. 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.
  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. 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.
  8. Dubin, Robin A., 1992. "Spatial autocorrelation and neighborhood quality," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 433-452, September.
  9. 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.
  10. 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.
  11. Can, Ayse, 1992. "Specification and estimation of hedonic housing price models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 453-474, September.
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