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A mixed index approach to identifying hedonic price models

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  • Brasington, David M.
  • Hite, Diane

Abstract

Recent literature suggests identifying house price hedonic regressions by using instrumental variables, spatial statistics, the borders approach, panel data, and other techniques. We present an empirical application of a mixed index model, first proposed by Bowden [Bowden, R.J., 1992. Competitive selection and market data: the mixed-index problem. The Review of Economic Studies 59(3):625-633.] to identify hedonic price regressions. We compare the performance of the mixed index model to a traditional hedonic model and to a hedonic model that includes characteristics of the buyer of each house. We find the mixed index model outperforms the other models based on bootstrap distributions of predicted housing values, prediction variance, and predicted policy effects. The mixed index model distributions are less skewed and kurtotic than the other models, suggesting it more closely satisfies the classical linear regression assumption of normally distributed errors. Compared to the mixed index model, the traditional hedonic overstates the importance of lot size and school quality to house price and understates the importance of environmental quality.

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Bibliographic Info

Article provided by Elsevier in its journal Regional Science and Urban Economics.

Volume (Year): 38 (2008)
Issue (Month): 3 (May)
Pages: 271-284

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Handle: RePEc:eee:regeco:v:38:y:2008:i:3:p:271-284

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References

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  1. James N. Brown & Harvey S. Rosen, 1982. "On the Estimation of Structural Hedonic Price Models," NBER Technical Working Papers 0018, National Bureau of Economic Research, Inc.
  2. Sandra E. Black, 1997. "Do better schools matter? Parental valuation of elementary education," Research Paper 9729, Federal Reserve Bank of New York.
  3. David N. Figlio & Maurice E. Lucas, 2004. "What's in a Grade? School Report Cards and the Housing Market," American Economic Review, American Economic Association, vol. 94(3), pages 591-604, June.
  4. Epple, Dennis, 1987. "Hedonic Prices and Implicit Markets: Estimating Demand and Supply Functions for Differentiated Products," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 59-80, February.
  5. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
  6. Bowden, Roger J, 1992. "Competitive Selection and Market Data: The Mixed-Index Problem," Review of Economic Studies, Wiley Blackwell, vol. 59(3), pages 625-33, July.
  7. Dennis Epple & Holger Sieg, 1999. "Estimating Equilibrium Models of Local Jurisdictions," Journal of Political Economy, University of Chicago Press, vol. 107(4), pages 645-681, August.
  8. R. Kelley Pace & James P. LeSage, 2004. "Spatial Statistics and Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 147-148, 09.
  9. David Brasington & D. Hite, . "Demand for Environmental Quality: A Spatial Hedonic Analysis," Departmental Working Papers 2003-02, Department of Economics, Louisiana State University.
  10. Patrick Bayer & Robert McMillan & Kim Rueben, 2005. "Residential Segregation in General Equilibrium," NBER Working Papers 11095, National Bureau of Economic Research, Inc.
  11. Arthur C. Nelson & John Genereux & Michelle Genereux, 1992. "Price Effects of Landfills on House Values," Land Economics, University of Wisconsin Press, vol. 68(4), pages 359-365.
  12. John Ries & Tsur Somerville, 2010. "School Quality and Residential Property Values: Evidence from Vancouver Rezoning," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 928-944, November.
  13. Reid, Gary J., 1990. "The many faces of Tiebout bias in local education demand parameter estimates," Journal of Urban Economics, Elsevier, vol. 27(2), pages 232-254, March.
  14. Beron, Kurt & Murdoch, James & Thayer, Mark, 2001. "The Benefits of Visibility Improvement: New Evidence from the Los Angeles Metropolitan Area," The Journal of Real Estate Finance and Economics, Springer, vol. 22(2-3), pages 319-37, March-May.
  15. 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..
  16. Hite, Diane & Hoehn, John P. & Randall, Alan, 1999. "Dealing With Health Concerns In Natural Resource Damage Assessment," 1999 Annual meeting, August 8-11, Nashville, TN 21652, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  17. Jiahui Wang & Eric Zivot, 1998. "Inference on Structural Parameters in Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 66(6), pages 1389-1404, November.
  18. Hite, Diane, et al, 2001. "Property-Value Impacts of an Environmental Disamenity: The Case of Landfills," The Journal of Real Estate Finance and Economics, Springer, vol. 22(2-3), pages 185-202, March-May.
  19. Cushing, Brian J., 1984. "Capitalization of interjurisdictional fiscal differentials: An alternative approach," Journal of Urban Economics, Elsevier, vol. 15(3), pages 317-326, May.
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Cited by:
  1. Simlai, Prodosh, 2014. "Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 17-30.
  2. Xia Feng & Brad R. Humphreys, 2008. "Assessing the Economic Impact of Sports Facilities on Residential Property Values: A Spatial Hedonic Approach," Working Papers 0812, International Association of Sports Economists & North American Association of Sports Economists.
  3. John Yinger, 2009. "Hedonic Markets and Explicit Demands: Bid-Function Envelopes for Public Services, Neighborhood Amenities, and Commuting Costs," Center for Policy Research Working Papers 114, Center for Policy Research, Maxwell School, Syracuse University.
  4. Víctor Iturra & Dusan Paredes, 2011. "Construction of a Spatial Housing Price Index by Estimating an Almost Ideal Demand System," Documentos de Trabajo en Economia y Ciencia Regional 11, Universidad Catolica del Norte, Chile, Department of Economics, revised May 2011.
  5. James LeSage & Joni Charles, 2008. "Using home buyers’ revealed preferences to define the urban–rural fringe," Journal of Geographical Systems, Springer, vol. 10(1), pages 1-21, March.

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