IDEAS home Printed from https://ideas.repec.org/a/taf/defpea/v24y2013i4p339-369.html
   My bibliography  Save this article

Explaining Early Exit Rates From The Royal Navy

Author

Listed:
  • Shabbar Jaffry
  • Yaseen Ghulam
  • Alexandros Apostolakis

Abstract

The Royal Navy (RN) is striving to achieve the right manpower mix through improved retention levels. This paper analyses the ratings' exit patterns from the RN using a hazard regression framework. We hypothesise that similar to civilian workers, job transition decisions of the RN ratings are dependent upon alternative job availability and macroeconomic conditions. In addition, working conditions, gender and skill mix, family commitments and promotion prospects in the Navy influence their decisions to leave early. We estimate the unemployment elasticity for males to be - 0.65 (female - 0.51), which is high, compared to the elasticity reported for the US Navy. The civilian wage is positively related to exit probability from the RN. Overall, married ratings are less likely to exit as compared to their unmarried counterparts, but married female ratings are 88% more likely to leave early as compared to unmarried females in the Navy. Promotion to higher ranks reduces the probability of early exists.

Suggested Citation

  • Shabbar Jaffry & Yaseen Ghulam & Alexandros Apostolakis, 2013. "Explaining Early Exit Rates From The Royal Navy," Defence and Peace Economics, Taylor & Francis Journals, vol. 24(4), pages 339-369, August.
  • Handle: RePEc:taf:defpea:v:24:y:2013:i:4:p:339-369
    DOI: 10.1080/10242694.2012.695035
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10242694.2012.695035
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10242694.2012.695035?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.

    More about this item

    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:taf:defpea:v:24:y:2013:i:4:p:339-369. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.tandfonline.com/GDPE20 .

    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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GDPE20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.