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Using stochastic frontier models to mitigate omitted variable bias in hedonic pricing models: A case study for air quality in Bogotá, Colombia

  • Carriazo, Fernando
  • Ready, Richard
  • Shortle, James

Hedonic pricing models use property value differentials to value changes in environmental quality. If unmeasured quality attributes of residential properties are correlated with an environmental quality measure of interest, conventional methods for estimating implicit prices will be biased. Because many unmeasured quality measures tend to be asymmetrically distributed across properties, it may be possible to mitigate this bias by estimating a heteroskedastic frontier regression model. This approach is demonstrated for a hedonic price function that values air quality in Bogotá, Colombia.

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Article provided by Elsevier in its journal Ecological Economics.

Volume (Year): 91 (2013)
Issue (Month): C ()
Pages: 80-88

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Handle: RePEc:eee:ecolec:v:91:y:2013:i:c:p:80-88
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  1. 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.
  2. Okmyung Biny & Stephen Polasky, 2004. "Effects of Flood Hazards on Property Values: Evidence Before and After Hurricane Floyd," Land Economics, University of Wisconsin Press, vol. 80(4).
  3. Michael Greenstone & Justin Gallagher, 2008. "Does Hazardous Waste Matter? Evidence from the Housing Market and the Superfund Program," The Quarterly Journal of Economics, MIT Press, vol. 123(3), pages 951-1003, August.
  4. Julie Mueller & John Loomis & Armando González-Cabán, 2009. "Do Repeated Wildfires Change Homebuyers’ Demand for Homes in High-Risk Areas? A Hedonic Analysis of the Short and Long-Term Effects of Repeated Wildfires on House Prices in Southern California," The Journal of Real Estate Finance and Economics, Springer, vol. 38(2), pages 155-172, February.
  5. Subal Kumbhakar & Christopher Parmeter, 2010. "Estimation of hedonic price functions with incomplete information," Empirical Economics, Springer, vol. 39(1), pages 1-25, August.
  6. Stephen Conroy & Jennifer Milosch, 2011. "An Estimation of the Coastal Premium for Residential Housing Prices in San Diego County," The Journal of Real Estate Finance and Economics, Springer, vol. 42(2), pages 211-228, February.
  7. Roberto G. Gutierrez & Shana Carter & David M. Drukker, 2001. "On boundary-value likelihood-ratio tests," Stata Technical Bulletin, StataCorp LP, vol. 10(60).
  8. Sudip Chattopadhyay, 1999. "Estimating the Demand for Air Quality: New Evidence Based on the Chicago Housing Market," Land Economics, University of Wisconsin Press, vol. 75(1), pages 22-38.
  9. Stephen A. Samaha & Wagner A. Kamakura, 2008. "Assessing the Market Value of Real Estate Property with a Geographically Weighted Stochastic Frontier Model," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(4), pages 717-751, December.
  10. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  11. Brent L. Mahan & BStephen Polasky & Richard M. Adams, 2000. "Valuing Urban Wetlands: A Property Price Approach," Land Economics, University of Wisconsin Press, vol. 76(1), pages 100-113.
  12. George Galster & Peter Tatian & Kathryn Pettit, 2004. "Supportive Housing and Neighborhood Property Value Externalities," Land Economics, University of Wisconsin Press, vol. 80(1), pages 33-54.
  13. Richard C. Ready & Charles W. Abdalla, 2005. "The Amenity and Disamenity Impacts of Agriculture: Estimates from a Hedonic Pricing Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 314-326.
  14. Paul Thorsnes, 2002. "The Value of a Suburban Forest Preserve: Estimates from Sales of Vacant Residential Building Lots," Land Economics, University of Wisconsin Press, vol. 78(3), pages 426-441.
  15. Jeffrey E. Zabel & Katherine A. Kiel, 2000. "Estimating the Demand for Air Quality in Four U.S. Cities," Land Economics, University of Wisconsin Press, vol. 76(2), pages 174-194.
  16. Patrick Bajari & Jane Cooley Fruehwirth & Kyoo il Kim & Christopher Timmins, 2012. "A Rational Expectations Approach to Hedonic Price Regressions with Time-Varying Unobserved Product Attributes: The Price of Pollution," American Economic Review, American Economic Association, vol. 102(5), pages 1898-1926, August.
  17. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132.
  18. Kenneth Y. Chay & Michael Greenstone, 2005. "Does Air Quality Matter? Evidence from the Housing Market," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 376-424, April.
  19. Steven D. Shultz & Steven J. Taff, 2004. "Implicit Prices of Wetland Easements in Areas of Production Agriculture," Land Economics, University of Wisconsin Press, vol. 80(4).
  20. 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..
  21. Smith, V Kerry & Huang, Ju-Chin, 1995. "Can Markets Value Air Quality? A Meta-analysis of Hedonic Property Value Models," Journal of Political Economy, University of Chicago Press, vol. 103(1), pages 209-27, February.
  22. Elena G. Irwin, 2002. "The Effects of Open Space on Residential Property Values," Land Economics, University of Wisconsin Press, vol. 78(4), pages 465-480.
  23. Shultz, Steven D & King, David A, 2001. "The Use of Census Data for Hedonic Price Estimates of Open-Space Amenities and Land Use," The Journal of Real Estate Finance and Economics, Springer, vol. 22(2-3), pages 239-52, March-May.
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