The Impact of Hazardous Industrial Facilities on Housing Prices: A Comparison of Parametric and Semiparametric Hedonic Price Models
Celine Grislain-Letremy and
Arthur Katossky ()
No 2014-13, Working Papers from Center for Research in Economics and Statistics
Abstract:
The willingness of households to pay for prevention against industrial risks can be revealed by real estate markets. By using very rich microdata, we study housing prices in the vicinity of hazardous industries near three important French cities. We show that the impact of hazardous plants on the housing values strongly differs among these three areas, even if the areas all surround chemical and petrochemical industries. We compare the results from both standard parametric and more flexible, semiparametric models of hedonic property. We show that the parametric model might structurally lead to important biases in the estimated value of the impact of hazardous plants on housing values and in the variations of this impact with respect to the distance from the plants
Keywords: hedonic analysis; locally weighted regression; urban housing markets; industrial risk (search for similar items in EconPapers)
JEL-codes: C21 Q51 R21 R52 (search for similar items in EconPapers)
Pages: 36
Date: 2014-05
New Economics Papers: this item is included in nep-ure
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Citations: View citations in EconPapers (21)
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Related works:
Journal Article: The impact of hazardous industrial facilities on housing prices: A comparison of parametric and semiparametric hedonic price models (2014) 
Working Paper: The Impact of Hazardous Industrial Facilities on Housing Prices: A Comparison of Parametric and Semiparametric Hedonic Price Models (2014) 
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