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Estimating non-marginal willingness to pay for railway noise abatement: application of the two-step hedonic regression technique

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In this study we estimate the demand for peace and quiet, and thus also the willingness to pay for railway noise abatement, based on both steps of the hedonic model regression on property prices. The estimated demand relationship suggests welfare gains for a 1 dB reduction of railway noise as; USD 162 per individual per year at the baseline noise level of 71 dB, and USD 86 at the baseline noise level of 61 dB. Below a noise level of 49.1 dB, individuals have no willingness to pay for railway noise abatement. Our results also show the risk of using benefit transfer, i.e. we show empirically that the estimated implicit price for peace and quiet differs substantially across the housing markets. From a policy perspective our results are useful, not only for benefit-cost analysis, but also as the monetary component on infrastructure use charges that internalize the noise externality.

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  • Swärdh, Jan-Erik & Andersson, Henrik & Jonsson, Lina & Ögren, Mikael, 2012. "Estimating non-marginal willingness to pay for railway noise abatement: application of the two-step hedonic regression technique," Working papers in Transport Economics 2012:27, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    • Handle: RePEc:hhs:ctswps:2012_027
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    1. Andersson, Henrik & Swärdh , Jan-Erik & Ögren , Mikael, 2015. "Traffic noise effects of property prices: hedonic estimates based on multiple noise indicators," Working papers in Transport Economics 2015:11, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    2. Swärdh, Jan-Erik, 2019. "Benefits of noise measure in train commuting suburbs: a comparison of Swedish guidelines and WHO recommendations," Working Papers 2019:5, Swedish National Road & Transport Research Institute (VTI), revised 24 Aug 2019.

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    More about this item

    Keywords

    Benefits transfer; Hedonic regression; Railway noise; Willingness to pay;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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