IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2018_305.html
   My bibliography  Save this paper

Does Good Looking Realtor Earns More Commission?

Author

Listed:
  • Boon Ping Calvi Chua
  • Seow Eng Ong

Abstract

Discrimination is prevalent in the world. There are many pieces of research literature undertaken that studied the various forms of discrimination in the labour market. Discrimination occurs due to different reasons such as nationalities, skin colours, genders, performances, physically handicapped and looks. We used a unique dataset of over 1600 realtors working in two of the more established real estate agencies in Singapore to study whether beauty premium exists in this labour market. The study used commission data, from 2013 to 2016, the demographics, and photographs of all agents involved. We estimated the real estate agents’ look by applying golden ratio theory and a series of surveys conducted by the reviewers using the Likert scale. The study found that there was a compelling and negative correlation between beauty and commission. We further explore why beauty premium does not apply to this industry; we selected a smaller sample size of realtors, 93, and conducted a series of personality profiling tests to determine the traits that allowed them to perform well in the real estate industry. Our results showed that top realtors tend to display dominance, a little shy, higher educated, self-disciple and were more experience.

Suggested Citation

  • Boon Ping Calvi Chua & Seow Eng Ong, 2018. "Does Good Looking Realtor Earns More Commission?," ERES eres2018_305, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2018_305
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2018-305
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    beauty; commission; labour discrimination; real estate agency; Real Estate Agents;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arz:wpaper:eres2018_305. 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: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.html .

    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.