IDEAS home Printed from https://ideas.repec.org/a/vrs/remava/v28y2020i1p80-90n7.html
   My bibliography  Save this article

Methods of Analyzing Qualitative Variable Correlation on the Real Estate Market

Author

Listed:
  • Dmytrów Krzysztof

    (Institute of Econometrics and Statistics, University of Szczecin)

  • Gdakowicz Anna

    (Institute of Econometrics and Statistics, University of Szczecin)

  • Putek-Szeląg Ewa

    (Institute of Econometrics and Statistics, University of Szczecin)

Abstract

Variables occurring in a real estate market are frequently presented on scales other than interval or ratio scales. Most frequently, the scale is an ordinal (for instance – onerous, unfavourable, neutral, favourable), or possibly a nominal one. That is why the use of scales intended for quantitative attributes (such as Pearson linear correlation coefficient) is not possible. The paper presents the results of employing other coefficients (Kendall’s τB and Spearman’s ρ coefficients) in analyzing correlations on the real estate market.The objective of the article is to present a method of analyzing the correlation of qualitative variables (attributes) and to present the possibility of using the obtained results in the process of real estate appraisal.

Suggested Citation

  • Dmytrów Krzysztof & Gdakowicz Anna & Putek-Szeląg Ewa, 2020. "Methods of Analyzing Qualitative Variable Correlation on the Real Estate Market," Real Estate Management and Valuation, Sciendo, vol. 28(1), pages 80-90, March.
    • Handle: RePEc:vrs:remava:v:28:y:2020:i:1:p:80-90:n:7
    DOI: 10.2478/remav-2020-0007
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/remav-2020-0007
    Download Restriction: no
    File URL: https://libkey.io/10.2478/remav-2020-0007?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
    ---><---

    References listed on IDEAS

    as
    1. Foryś Iwona & Gaca Radosław, 2016. "Application of the Likert and Osgood Scales to Quantify the Qualitative Features of Real Estate Properties," Folia Oeconomica Stetinensia, Sciendo, vol. 16(2), pages 7-16, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dmytrów Krzysztof & Gnat Sebastian, 2019. "Application of AHP Method in Assessment of the Influence of Attributes on Value in the Process of Real Estate Valuation," Real Estate Management and Valuation, Sciendo, vol. 27(4), pages 15-26, December.
    2. Dmytrów Krzysztof & Gdakowicz Anna & Putek-Szeląg Ewa, 2019. "Statistical Relations of the Qualitative Attributes of Real Properties Subject to Mass Appraisal," Folia Oeconomica Stetinensia, Sciendo, vol. 19(2), pages 25-37, December.
    3. Gdakowicz Anna & Putek-Szeląg Ewa, 2020. "The Use of Statistical Methods for Determining Attribute Weights and the Influence of Attributes on Property Value," Real Estate Management and Valuation, Sciendo, vol. 28(4), pages 33-47, December.

    More about this item

    Keywords

    qualitative variables; Kendall’s τB correlation coefficient; Spearman’s ρ coefficient; real estate attributes;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets

    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:28:y:2020:i:1:p:80-90:n:7. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.