IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v106y2023ics2214804323000952.html
   My bibliography  Save this article

Does Mood affect Sexual and Gender Discrimination in Hiring Choices? Evidence from Online Experiments

Author

Listed:
  • Mourelatos, Evangelos

Abstract

We explore whether there is a link between mood and hiring decisions. This research examines how positive mood affects the discrimination faced by homosexual and female job candidates compared to heterosexual and male ones. We randomly assign respondents to one of two mood-inducing videos (positive and neutral), and we allow subjects to make a series of hiring choices prior and immediately after watching the mood-inducing video. Our experiment being conducted in the online labor platform Amazon Mechanical Turk, allows us to track the complete hiring process and monitor employers’ behavior within and without our treatment context. Constructing pairs of curriculum vitae, distinguished only by the sexual orientation or the gender of the applicants in each case, leads to the observation that women and gay men faced a significantly lower chance of getting hired. We also find that female employers proposed higher levels of discrimination only in the case of female applicants. Our positive mood manipulation leads to a decrease of discrimination levels. Thus, there is substantial experimental evidence to suggest that discrimination based on sexual orientation and gender also exists in online labor markets. An additional experiment with negative mood manipulation, also, gives evidence for the opposite direction of the effects, contributing to a broader picture of the relationship between mood and discrimination behavior. Contributions to the literature on hiring discrimination, mood research and the online economy are discussed.

Suggested Citation

  • Mourelatos, Evangelos, 2023. "Does Mood affect Sexual and Gender Discrimination in Hiring Choices? Evidence from Online Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 106(C).
  • Handle: RePEc:eee:soceco:v:106:y:2023:i:c:s2214804323000952
    DOI: 10.1016/j.socec.2023.102069
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214804323000952
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socec.2023.102069?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.

    Citations

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


    Cited by:

    1. Mourelatos, Evangelos & Zervas, Panagiotis & Lagios, Dimitris & Tzimas, Giannis, 2024. "Can AI Bridge the Gender Gap in Competitiveness?," GLO Discussion Paper Series 1404, Global Labor Organization (GLO).

    More about this item

    Keywords

    experiment; hiring discrimination; mood; online labor markets; gender; sexual orientation;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles

    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:eee:soceco:v:106:y:2023:i:c:s2214804323000952. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620175 .

    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.