IDEAS home Printed from https://ideas.repec.org/p/pbs/ecofin/2022-02.html
   My bibliography  Save this paper

Experimental research in public administration: a study of gender representation in the police

Author

Listed:
  • Federica Alberti

    (University of Portsmouth)

  • Karen Johnston

    (University of Portsmouth)

  • Foteini Kravari

    (University of Portsmouth)

Abstract

We draw on the theory of representative bureaucracy to examine as to whether there is symbolic effects of a passively representative public organization. In this study we experimentally examine whether the gender representation of a police department affects the extent to which citizens find the department as an attractive place of employment. The results of the study show that there are no significant effects overall.

Suggested Citation

  • Federica Alberti & Karen Johnston & Foteini Kravari, 2022. "Experimental research in public administration: a study of gender representation in the police," Working Papers in Economics & Finance 2022-02, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    • Handle: RePEc:pbs:ecofin:2022-02
    as

    Download full text from publisher

    File URL: http://repec.port.ac.uk/EconFinance/PBSEconFin_2022_02.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gregg G. Van Ryzin & Norma M. Riccucci & Huafang Li, 2017. "Representative bureaucracy and its symbolic effect on citizens: a conceptual replication," Public Management Review, Taylor & Francis Journals, vol. 19(9), pages 1365-1379, October.
    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. Sievert, Martin, 2023. "Sievert (2023): The Limited Impact of Reference Groups’ Symbolic Gender Representation on Willingness to Coproduce," OSF Preprints r2s95, Center for Open Science.

    More about this item

    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:pbs:ecofin:2022-02. 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: Shuonan Zhang (email available below). General contact details of provider: https://edirc.repec.org/data/depbsuk.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.