IDEAS home Printed from https://ideas.repec.org/a/vrs/remava/v26y2018i1p16-25n2.html
   My bibliography  Save this article

The Dematel Method in the Analysis of the Residential Real Estate Market in Bialystok

Author

Listed:
  • Gołąbeska Elżbieta

    (Department of Construction and Environmental Engineering, Bialystok University of Technology)

Abstract

The article is of a dual character. On the one hand, it concerns the analysis of the real estate market in terms of investment attractiveness and the influence of particular attributes of property on attractiveness itself. On the other hand, it proposes the use as a research tool selected using one of the multicriteria methods (DEMATEL), which is an alternative to commonly used statistical methods. The theoretical part of the work is completed by a brief computational example which deals with the analysis of factors affecting the prices of residential real estate on a local scale.

Suggested Citation

  • Gołąbeska Elżbieta, 2018. "The Dematel Method in the Analysis of the Residential Real Estate Market in Bialystok," Real Estate Management and Valuation, Sciendo, vol. 26(1), pages 16-25, March.
    • Handle: RePEc:vrs:remava:v:26:y:2018:i:1:p:16-25:n:2
    DOI: 10.2478/remav-2018-0002
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/remav-2018-0002
    Download Restriction: no
    File URL: https://libkey.io/10.2478/remav-2018-0002?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
    ---><---

    More about this item

    Keywords

    real estate market; investment risk; multicriteria methods; DEMATEL method;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - 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:vrs:remava:v:26:y:2018:i:1:p:16-25:n:2. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.