IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

A Random Rationing Mechanism Which Reduces The Risks Of No Son Left At Home

  • Shu-Yi Liao
  • Yu-Ying Lin
  • Wei-Chun Tseng
Registered author(s):

    Lotteries can be used to meet shortages in military-manpower-demanding situations before and during a large-scale war. By developing a new lottery mechanism that is fair in that everyone has the same success rate, the approach adopted in this paper is able to outperform the traditional lottery by generating extra rents in such a way that brothers or similar close family members can choose to maximize the chance that at least one person stays home, thereby reducing social cost. We use 2010 data for three war hot zones - namely, South Korea, Colombia and Taiwan - as examples.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Taylor & Francis Journals in its journal Defence and Peace Economics.

    Volume (Year): 22 (2011)
    Issue (Month): 3 ()
    Pages: 265-277

    in new window

    Handle: RePEc:taf:defpea:v:22:y:2011:i:3:p:265-277
    Contact details of provider: Web page:

    Order Information: Web:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:taf:defpea:v:22:y:2011:i:3:p:265-277. 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: (Michael McNulty)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.