IDEAS home Printed from https://ideas.repec.org/a/eme/ijhmap/ijhma-08-2020-0095.html
   My bibliography  Save this article

Modelling the affecting factors of housing price using GMDH-type artificial neural networks in Isfahan city of Iran

Author

Listed:
  • Behrooz Nazemi
  • Mohsen Rafiean

Abstract

Purpose - The purpose of this paper is to use Group Method of Data Handling (GMDH)-type artificial neural network to model the affecting factors of housing price in Isfahan city housing market. Design/methodology/approach - This paper presents an accurate model based on GMDH approach to describing connection between housing price and considered affecting factors in case study of Isfahan city based on trusted data that have been collected from 1995 to 2017 for every six months. The accuracy of the model has been evaluated by mean absolute percentage error (MAPE), root mean square error (RMSE) and mean absolute error (MAE) in this case. Findings - Due to the obtained value of MAPE, RMSE and MAE and also their interpretation, accuracy of modelling the factors affecting housing price in Isfahan city housing market using GMDH-type artificial neural network that has been conducted in this paper, is acceptable. Research limitations/implications - Due to limitation of reliable data availability about affecting factors, selected period is from 1995 to 2017. Accessing to longer periods of reliable data can improve the accuracy of the model. Originality/value - The key point of this research is reaching to a mathematical formula that accurately shows the relationships between housing price in Isfahan city and effective factors. The simplified formula can help users to use it easily for analysing and describing the status of housing market in Isfahan city of Iran.

Suggested Citation

  • Behrooz Nazemi & Mohsen Rafiean, 2021. "Modelling the affecting factors of housing price using GMDH-type artificial neural networks in Isfahan city of Iran," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 15(1), pages 4-18, March.
    • Handle: RePEc:eme:ijhmap:ijhma-08-2020-0095
    DOI: 10.1108/IJHMA-08-2020-0095
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJHMA-08-2020-0095/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJHMA-08-2020-0095/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1108/IJHMA-08-2020-0095?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eme:ijhmap:ijhma-08-2020-0095. 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: Emerald Support (email available below). General contact details of provider: .

    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.