EUGene: A conceptual manual

D. Scott Bennett, Allan C. Stam

Research output: Contribution to journalArticle

522 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)179-204
Number of pages26
JournalInternational Interactions
Volume26
Issue number2
DOIs
StatePublished - 2000

All Science Journal Classification (ASJC) codes

  • Political Science and International Relations

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