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Hedonic Price Functions for Zurich and Lugano with Special Focus on Electrosmog

Author

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  • Silvia Banfi

    (Center for Energy Policy and Economics CEPE, Department of Management, Technology and Economics, ETH Zurich, Switzerland)

  • Massimo Filippini

    (Center for Energy Policy and Economics CEPE, Department of Management, Technology and Economics, ETH Zurich, Switzerland)

  • Andrea Horehájová

    (Center for Energy Policy and Economics CEPE, Department of Management, Technology and Economics, ETH Zurich, Switzerland)

Abstract

This paper evaluates the impacts of electrosmog, noise and air pollution on the dwellings’ rents in the cities of Zurich and Lugano. The hedonic price regressions are estimated using a large micro-level data set and taking into account the spatial correlation in unobserved factors. The results suggest that the presence of mobile phone antenna has a negative impact on the rent, but this effect is not statistically significant in Lugano. In addition, PM10 density and the level of noise at night have a significant negative impact on the rent. Accounting for spatial correlation has little effect on the coefficient estimates.

Suggested Citation

  • Silvia Banfi & Massimo Filippini & Andrea Horehájová, 2007. "Hedonic Price Functions for Zurich and Lugano with Special Focus on Electrosmog," CEPE Working paper series 07-57, CEPE Center for Energy Policy and Economics, ETH Zurich.
    • Handle: RePEc:cee:wpcepe:07-57
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    File URL: http://www.cepe.ethz.ch/publications/workingPapers/CEPE_WP57
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    References listed on IDEAS

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    1. Silvia Banfi & Massimo Filippini & Andrea Horehájová, 2012. "Using a choice experiment to estimate the benefits of a reduction of externalities in urban areas with special focus on electrosmog," Applied Economics, Taylor & Francis Journals, vol. 44(3), pages 387-397, January.

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    More about this item

    Keywords

    hedonic pricing; electrosmog; noise; air pollution;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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