Using Frontier Models to Mitigate Omitted Variable Bias in Hedonic Pricing Models: A Case Study for Air Quality in Bogotá, Colombia
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.
|Date of creation:||20 Mar 2011|
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- 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.
- 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.
- 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.
- 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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