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Using Frontier Models to Mitigate Omitted Variable Bias in Hedonic Pricing Models: A Case Study for Air Quality in Bogotá, Colombia

  • Fernando Carriazo

    ()

  • Richard Ready

    ()

  • James Shortle

    ()

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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File URL: http://economia.uniandes.edu.co/publicaciones/dcede2011-11.pdf
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Paper provided by UNIVERSIDAD DE LOS ANDES-CEDE in its series DOCUMENTOS CEDE with number 008736.

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Length: 32
Date of creation: 20 Mar 2011
Date of revision:
Handle: RePEc:col:000089:008736
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  1. 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.
  2. 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.
  3. 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).
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