IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02661292.html

Semiparametric hedonic price models: assessing the effects of agricultural nonpoint source pollution

Author

Listed:
  • Christophe Bontemps

    (Groupe de recherche en économie mathématique et quantitative - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique)

  • Michel Simioni

    (Groupe de recherche en économie mathématique et quantitative - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique)

  • Yves Surry

    (SLU - Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet)

Abstract

In the area of environmental analysis using hedonic price models, we investigate the performance of various nonparametric and semiparametric specifications. The proposed model specifications are made up of two parts: a linear component for house characteristics and a non-(semi)parametric component representing the nonlinear influence of environmental indicators on house prices. We adopt a general-to-specific search procedure, based on recent specification tests comparing the proposed specifications with a fully nonparametric benchmark model, to select the best model specification. An application of these semiparametric models to rural districts indicates that pollution resulting from intensive livestock farming has a significant nonlinear impact on house prices.

Suggested Citation

  • Christophe Bontemps & Michel Simioni & Yves Surry, 2008. "Semiparametric hedonic price models: assessing the effects of agricultural nonpoint source pollution," Post-Print hal-02661292, HAL.
    • Handle: RePEc:hal:journl:hal-02661292
    DOI: 10.1002/jae.1022
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Florens, Jean-Pierre & Sokullu, Senay, 2017. "Nonparametric Estimation Of Semiparametric Transformation Models," Econometric Theory, Cambridge University Press, vol. 33(4), pages 839-873, August.
    2. Grislain-Letrémy, Céline & Katossky, Arthur, 2014. "The impact of hazardous industrial facilities on housing prices: A comparison of parametric and semiparametric hedonic price models," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 93-107.
    3. Hans R. A. Koster & Jos N. van Ommeren & Piet Rietveld, 2016. "Historic amenities, income and sorting of households," Journal of Economic Geography, Oxford University Press, vol. 16(1), pages 203-236.
    4. Pierre-Alexandre Mahieu & Romain Craste & Bengt Kriström & Pere Riera, 2014. "Non-market valuation in France: An overview of the research activity," Working Papers hal-01087365, HAL.
    5. Hans Koster & Jos N. van Ommeren & Piet Rietveld, 2010. "Estimating Firms' Demand for Agglomeration," Tinbergen Institute Discussion Papers 10-087/3, Tinbergen Institute.
    6. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2021. "Real estate listings and their usefulness for hedonic regressions," Empirical Economics, Springer, vol. 61(6), pages 3239-3269, December.
    7. Osseni, Abdel & Bareille, Francois & DUPRAZ, Pierre, "undated". "Decoupling Values Of Agricultural Externalities According To Scale: A Spatial Hedonic Approach In Brittany," 2018 Annual Meeting, August 5-7, Washington, D.C. 273998, Agricultural and Applied Economics Association.
    8. Paul Koster & Hans Koster, 2013. "Analysing Heterogeneity in the Value of Travel Time and Reliability: A Semiparametric Estimation Approach," ERSA conference papers ersa13p1032, European Regional Science Association.
    9. Hans R.A. Koster & Jan Rouwendal, 2012. "The Impact Of Mixed Land Use On Residential Property Values," Journal of Regional Science, Wiley Blackwell, vol. 52(5), pages 733-761, December.
    10. Alan T. K. Wan & Jinhong You & Riquan Zhang, 2016. "A Seemingly Unrelated Nonparametric Additive Model with Autoregressive Errors," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 894-928, May.
    11. Ostermeijer, Francis & Koster, Hans RA. & van Ommeren, Jos, 2019. "Residential parking costs and car ownership: Implications for parking policy and automated vehicles," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 276-288.
    12. Jeanne Dachary-Bernard & Frédéric Gaschet & Sandrine Lyser & Guillaume Pouyanne & Stéphane Virol, 2011. "L'impact de la littoralisation sur les marchés fonciers : une approche comparative des côtes basque et charentaise," Post-Print hal-00688634, HAL.
    13. Zhang, Jian & Mishra, Ashok K. & Hirsch, Stefan & Li, Xiaoshun, 2020. "Factors affecting farmland rental in rural China: Evidence of capitalization of grain subsidy payments," Land Use Policy, Elsevier, vol. 90(C).
    14. Carlo Fezzi & Ian Bateman, 2015. "The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farmland Values," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(1), pages 57-92.
    15. Hans R A Koster, 2024. "The Welfare Effects of Greenbelt Policy: Evidence from England," The Economic Journal, Royal Economic Society, vol. 134(657), pages 363-401.
    16. Dupraz, P. & Osseni, A. & Bareille, F., 2018. "Assessing the direct and indirect impacts of breeding activities on residential values: a spatial hedonic approach in Brittany," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276994, International Association of Agricultural Economists.
    17. Felix Lorenz & Jonas Willwersch & Marcelo Cajias & Franz Fuerst, 2023. "Interpretable machine learning for real estate market analysis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(5), pages 1178-1208, September.
    18. Stephen Gibbons & Susana Mourato & Guilherme Resende, 2014. "The Amenity Value of English Nature: A Hedonic Price Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(2), pages 175-196, February.
    19. Manuel Landajo & Celia Bilbao & Amelia Bilbao, 2012. "Nonparametric neural network modeling of hedonic prices in the housing market," Empirical Economics, Springer, vol. 42(3), pages 987-1009, June.
    20. Song Zhang & Mark Duijn & Arno J. Vlist, 2023. "Tenant Mix and Retail Rents in High Street Shopping Districts," The Journal of Real Estate Finance and Economics, Springer, vol. 67(1), pages 72-107, July.
    21. Osseni, Abdel Fawaz & Bareille, Francois & Dupraz, Pierre, 2021. "Hedonic valuation of harmful algal bloom pollution: Why econometrics matters?," Land Use Policy, Elsevier, vol. 107(C).
    22. Olayiwola Oladiran & Ajayi Saheed & Sunmoni Adesola, 2021. "What Property Attributes are Important to UK University Students in their Online Accommodation Search?," ERES eres2021_196, European Real Estate Society (ERES).
    23. Hans R.A. Koster & Jos N. van Ommeren & Piet Rietveld, 2010. "The Gains of Trains: The effect of station openings on house prices," Tinbergen Institute Discussion Papers 10-094/3, Tinbergen Institute, revised 12 Sep 2012.
    24. Stéphane Virol & Guillaume Pouyanne & Sandrine Lyser & Frédéric Gaschet & Jeanne Dachary-Bernard, 2011. "L’impact de la littoralisation sur les marchés fonciers. Une approche comparative des côtes basque et charentaise," Économie et Statistique, Programme National Persée, vol. 444(1), pages 127-154.

    More about this item

    Keywords

    ;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-02661292. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.