• The Korean Journal of Applied Statistics
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• v.30 no.2
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• pp.215-231
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• 2017

The US presidential primaries take place sequentially in different places with a time lag. However, they have not attracted as much attention in terms of modelling as the US presidential election has. This study applied several autologistic models to find the relation between the outcome of the primary election for a Democrat candidate with socioeconomic attributes in consideration of spatial and temporal dependence. According to the result applied to the 2016 election data at the county level, Hillary Clinton was supported by people in counties with high population rates of old age, Black, female and Hispanic. In addition, spatial dependence was observed, representing that people were likely to support the same candidate who was supported from neighboring counties. Positive auto-correlation was also observed in the time-series of the election outcome. Among several autologistic models of this study, the model specifying the effect of Super Tuesday had the best fit.

• American Studies
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• v.32 no.1
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• pp.169-198
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• 2009

Unlike the Democratic nomination, Republican nomination struggle has ended with an easy victory of Senator John McCain. This paper claims that the easy victory of McCain should not be interpreted as Republican's return to the median voter, because it masks religious schism and ideological discord among the Republicans. Christian rights were still reluctant to support McCain mostly due to his liberal position on social issues. In addition, the conservatives who request stricter immigration policy presented the mixed feeling toward the Republican candidate. Even though McCain chose the harmony inside the Republican party, rather than sticked to his liberal attitude toward social issues during the campaign for 2008 general election, McCain's defeat is unlikely to result in a rapid change in the Republican party.