A Journal of Applied Research in Contemporary Politics
Ed. by Disalvo, Daniel / Stonecash, Jeffrey
4 Issues per year
IMPACT FACTOR 2016: 0.397
SCImago Journal Rank (SJR) 2016: 0.476
Source Normalized Impact per Paper (SNIP) 2016: 0.331
This paper investigates patterns of geographic clustering in the county vote for the presidential elections of 2004 and 2008. Using local indicators of spatial association (LISA), the statistically significant areas of Democratic and Republican support are identified for both elections, thereby uncovering major sources of spatial autocorrelation in recent presidential voting. Most interestingly, the change in the presidential vote from 2004 to 2008 appears to be significantly more spatially dependent than the raw vote itself, suggesting that the so-called "Obama Effect" also exhibits a high degree of geographic clustering.
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