[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/a/taf/ginixx/v26y2000i2p179-204.html
   My bibliography  Save this article

Eugene : A conceptual manual

Author

Listed:
  • D. Scott Bennett
  • Allan C. Stam
Abstract
The study of international relations using quantitative analysis relies, in part, on the availability of comprehensive and easily manipulable data sets. To execute large‐ n statistical tests of hypotheses, data must be available on the variables of interest, and those data must be manipulated into a suitable format to allow the inclusion of appropriate control variables as well as variables of central theoretical interest This paper introduces software designed to eliminate many of the difficulties commonly involved in constructing large international relations data sets, and with the unavailability of data on expected utility theories of war. In order to solve these two problems, we developed EUGene (the Expected Utility Generation and Data Management Program). EUGene is a stand‐alone Microsoft Windows based program for the construction of annual data sets for use in quantitative studies of international relations. It generates data for variables necessary to incorporate key variables from implementations of the so‐called “expected utility theory of war” into broader analyses of international conflict EUGene is also designed to make building international relations data sets simple. It accomplishes this by automating a variety of tasks necessary to integrate several data building blocks commonly used in tests of international relations theories.

Suggested Citation

  • D. Scott Bennett & Allan C. Stam, 2000. "Eugene : A conceptual manual," International Interactions, Taylor & Francis Journals, vol. 26(2), pages 179-204, March.
    • Handle: RePEc:taf:ginixx:v:26:y:2000:i:2:p:179-204
    DOI: 10.1080/03050620008434965
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03050620008434965
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03050620008434965?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:ginixx:v:26:y:2000:i:2:p:179-204. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GINI20 .

    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.