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Title: Replication data for: Reconciling Temperature-conflict Results in Kenya      
dateReleased:
12-05-2014
downloadURL: http://dx.doi.org/10.7910/DVN/27558
ID:
doi:10.7910/DVN/27558
description:
Thiesen (JPR, 2012) recently constructed a novel high-resolution data set of intergroup and political conflict in Kenya (1989-2004) and examined whether the risk of conflict onset and incidence responds to annual pixel-level variations in temperature and precipitation. Thiesen concluded that only extreme precipitation is associated with conflict incidence and that temperature is unrelated to conflict, seemingly at odds with recent studies that found a positive association at the pixel scale (O'laughlin et al., PNAS 2012), at the country scale (Burke et al., PNAS 2009), and at the continental scale (Hsiang et al., Nature 2011) in Africa. Here we show these findings can be reconciled when we correct the erroneous coding of temperature-squared in Thiesen. In contrast to the original conclusions presented in Thiesen, both conflict onset and conflict incidence are significantly and positively associated with local temperature in this new and independently assembled data set.
description:
Hsiang, Solomon M; Burke, Marshall; Miguel, Edward, 2014, "Replication data for: Reconciling Temperature-conflict Results in Kenya", http://dx.doi.org/10.7910/DVN/27558, Harvard Dataverse, V1
name:
Hsiang, Solomon M
Burke, Marshall
Miguel, Edward
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997