All Peacekeeping is Local: Measuring Subnational Variation in Peacekeeping Effectiveness.
Understanding whether peacekeepers reduce fatalities at the local level is an important question. We can have increased confidence in peacekeepers' capabilities by testing whether deaths decrease in the locations where peacekeepers are present. However, commonly used modeling techniques cannot easil...
| Publicado en: | International Studies Quarterly Vol. 66; no. 2; pp. 1 - 13 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Oxford University Press / USA
Jun2022
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=157381717&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 157381717 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00208833 ISQ jtl: International Studies Quarterly issn: 00208833 maglogo: N pubinfo: dt: Jun2022 vid: 66 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 157381717 10.1093/isq/sqac010 ppf: 1 ppct: 12 formats: fmt: – @attributes: type: T db: hlh ui: 157381717 – @attributes: type: P db: hlh ui: 157381717 tig: atl: All Peacekeeping is Local: Measuring Subnational Variation in Peacekeeping Effectiveness. aug: au: Reeder, Bryce W Hendricks, Michael Goldring, Edward affil: University of Missouri , USA Illinois State University , USA University of York , UK su: Congo (Democratic Republic) Peacekeeping forces Violence Heterogeneity Subnational governments Mass casualties Regression analysis sug: subj: Peacekeeping forces Violence Heterogeneity Congo (Democratic Republic) Subnational governments Mass casualties Regression analysis ab: Understanding whether peacekeepers reduce fatalities at the local level is an important question. We can have increased confidence in peacekeepers' capabilities by testing whether deaths decrease in the locations where peacekeepers are present. However, commonly used modeling techniques cannot easily test peacekeepers' local effectiveness. Coefficients from methods such as linear regression, logit, and count models provide average estimates of peacekeepers' effects on violence. We argue that a solution lies in geographically weighted regression (GWR). GWR can more clearly reveal subnational spatial heterogeneity in peacekeepers' (in)effectiveness at reducing violence. We conduct an illustrative test of our argument using data on the Democratic Republic of the Congo between 2001 and 2014 and replicate an existing study to show that GWR can also help resolve seemingly contradictory findings of whether peacekeepers are better at reducing violence by government or rebel actors. The article contains important implications for how scholars can more accurately measure peacekeeping effectiveness. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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