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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.
Bennett et al. (Sat,) studied this question.