Analyzing Partisanship in Central Mexico: A geographical approach

Abstract

The article explores the relevance of socioeconomic variables on partisanship in Central Mexico for the 2006 presidential election. We perform an exploratory canonical correlation analysis, a predictive binomial logit analysis and a further confirmatory set of OLS regression analyses. The analyses are based on a data set that uses electoral results as well as census information, constructed as 1.6 km (one mile) radii GIS neighborhoods, which allow for the integration of electoral and census geographies. The results suggest that income and education do not always influence party preferences in the same direction. In particular in the case of the vote for the left leaning party, these two variables have contradicting effects.