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.
All Science Journal Classification (ASJC) codes
- Political Science and International Relations