IDEAS home Printed from https://ideas.repec.org/a/igg/jaeis0/v8y2017i2p65-77.html
   My bibliography  Save this article

Hedonic Analysis of Housing Sales Prices with Semiparametric Methods

Author

Listed:
  • Vincenzo Del Giudice

    (University of Naples Federico II, Naples, Italy)

  • Benedetto Manganelli

    (University of Basilicata, Potenza, Italy)

  • Pierfrancesco De Paola

    (University of Naples Federico II, Naples, Italy)

Abstract

This study estimates a hedonic price function using a semiparametric regression based on Penalized Spline Smoothing, and compares the price prediction performance with conventional parametric models. The excellent results obtained show that the semiparametric models allow to obtain a significant improvement in the prediction of housing sales prices.

Suggested Citation

  • Vincenzo Del Giudice & Benedetto Manganelli & Pierfrancesco De Paola, 2017. "Hedonic Analysis of Housing Sales Prices with Semiparametric Methods," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 8(2), pages 65-77, April.
  • Handle: RePEc:igg:jaeis0:v:8:y:2017:i:2:p:65-77
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAEIS.2017040105
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Chien-Ming Yu & Pei-Fen Chen, 2018. "House Prices, Mortgage Rate, and Policy: Megadata Analysis in Taipei," Sustainability, MDPI, vol. 10(4), pages 1-23, March.
    2. Zyga Jacek, 2019. "Data Selection as the Basis for Better Value Modelling," Real Estate Management and Valuation, Sciendo, vol. 27(1), pages 25-34, March.
    3. Mahdieh Yazdani & Maziar Raissi, 2023. "Real Estate Property Valuation using Self-Supervised Vision Transformers," Papers 2302.00117, arXiv.org.
    4. Mahdieh Yazdani, 2021. "House Price Determinants and Market Segmentation in Boulder, Colorado: A Hedonic Price Approach," Papers 2108.02442, arXiv.org.
    5. Daikun Wang & Victor Jing Li, 2019. "Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review," Sustainability, MDPI, vol. 11(24), pages 1-14, December.
    6. Mahdieh Yazdani, 2021. "Machine Learning, Deep Learning, and Hedonic Methods for Real Estate Price Prediction," Papers 2110.07151, arXiv.org.
    7. Daikun Wang & Victor Jing Li & Huayi Yu, 2020. "Mass Appraisal Modeling of Real Estate in Urban Centers by Geographically and Temporally Weighted Regression: A Case Study of Beijing’s Core Area," Land, MDPI, vol. 9(5), pages 1-18, May.
    8. Hugo Castro Noblejas & Pierfrancesco De Paola & Jesús Vías Martínez, 2023. "Landscape Value in the Spanish Costa del Sol’s Real Estate Market: The Case of Marbella," Land, MDPI, vol. 12(5), pages 1-16, April.
    9. Fabiana Forte & Valentina Antoniucci & Pierfrancesco De Paola, 2018. "Immigration and the Housing Market: The Case of Castel Volturno, in Campania Region, Italy," Sustainability, MDPI, vol. 10(2), pages 1-17, January.

    More about this item

    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:igg:jaeis0:v:8:y:2017:i:2:p:65-77. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.