Peace Economics, Peace Science and Public Policy
Editor-in-Chief: Caruso, Raul
Ed. by Bove, Vincenzo / Kibris, Arzu / Sekeris, Petros
CiteScore 2018: 0.44
SCImago Journal Rank (SJR) 2018: 0.281
Source Normalized Impact per Paper (SNIP) 2018: 0.320
This article illustrates how fine continuous and categorical measures of genocide intensity can be derived from the records of the Rwandan transitional justice system. The data, which include the number of genocide suspects and genocide survivors across 1484 administrative sectors, are highly skewed and contain a non-negligible number of outlying observations. A number of genocide proxies are subjected to Principal Component Analysis (PCA) to obtain a genocide index, and the effect of survival bias on this index is reduced by augmenting the set of genocide proxies subjected to PCA with the distance from an administrative sector to the nearest mass grave. Finally, the administrative sectors are divided into distinct categories of low, moderate and high genocide intensity by means of Local Indicators of Spatial Auto-Correlation (LISA) that allow identifying significant high-high and low-low clusters of genocide intensity.
Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.