The quantitative study of international relations is dominated byanalyses of pooled cross-sections. When analyzing dependent variables,such as the occurrence of a militarized dispute or the level of tradebetween two nations, researchers tend to work with panel data sets ofNTobservations, where N is the number of dyads (pairs of nations) and T isthe number of time points (typically years). Thus, for example, whensixty nations are observed annually over the span of forty years, thepooled cross-sectional data set consists of 1,770 dyads [times] forty years =70,800 observations. These data are said to be pooled in that nodistinction is made between observations in time and space. A datum is adatum, and one can draw inferences with equal certitude across dyads oracross years.
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Volume (Year): 55 (2001) Issue (Month): 02 (April) Pages: 441-468 Download reference. The following formats are available: HTML
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