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Some of the most important phenomena in international conflict are coded as “rare events”: binary dependent variables with dozens to thousands of times fewer events, such as wars and coups, than “nonevents.” Unfortunately, rare events data are difficult to explain and predict, a problem...
Persistent link: https://www.econbiz.de/10005624973
This article provides a concluding comment on the symposium focusing on Donald P. Green, Soo Yeon Kim, and David H. Yoon's “Dirty Pool.” Although the perspectives offered by the three sets of authors participating in the symposium differ starkly, my view (supported by conversations with the...
Persistent link: https://www.econbiz.de/10005120338
Despite widespread recognition that aggregated summary statistics on international conflict and cooperation miss most of the complex interactions among nations, the vast majority of scholars continue to employ annual, quarterly, or (occasionally) monthly observations. Daily events data, coded...
Persistent link: https://www.econbiz.de/10005264981