Paola Vesco, David Randahl, Håvard Hegre, Stina Högbladh, Mert Can Yilmaz
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引用次数: 0
Abstract
Event datasets, such as those provided by the Uppsala Conflict Data Program (UCDP), provide high-quality data on conflict fatalities. However, such data are likely to suffer from an unknown extent of bias and uncertainties in the reports they are based on. Although a substantial literature documents reporting bias in conflict research, analyses that quantify this bias are mostly limited to single countries. Here, we combine a survey with UCDP coders and statistical modeling to derive a distribution of plausible number of fatalities given the number of battle-related deaths and the type of violence documented by the UCDP. We provide a generalizable, cross-national measure of uncertainty around UCDP reported fatalities that is more robust and realistic than UCDP’s documented low and high estimates, countering UCDP’s intrinsic tendency to under-estimate fatalities, and we make available a dataset and R package that can be applied to future releases of the UCDP data.
期刊介绍:
The Journal of Conflict Resolution is an interdisciplinary journal of social scientific theory and research on human conflict. It focuses especially on international conflict, but its pages are open to a variety of contributions about intergroup conflict, as well as between nations, that may help in understanding problems of war and peace. Reports about innovative applications, as well as basic research, are welcomed, especially when the results are of interest to scholars in several disciplines.