Abstract
While it is a key explanatory factor in many areas, socialization is seemingly neglected as an explanation for differences in partisanship between men and women. Using a Markov model, the A. will show that individual level socialization patterns that appear in several studies of the American electorate as early as the 1960s can account for some of the aggregate differences that have been labeled as the gender gap in the 1980s and 1990s. Predictions of aggregate identification levels generated by this model can then be used to generate dynamic baselines of predicted levels of Democratic, independent, and Republican identification that clearly show differences between men and women. These baselines can be used to measure true effects of issues on party identification. Furthermore, ignoring these effects at the aggregate level can lead to incorrect conclusions about the relative levels influence of other factors on differences in voting patterns between men and women.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.