I argue the gender gap is a function of men and women changing their partisanship as they seek the best representation of their gendered social identity from the political parties. Specifically, shifts in the parties due to party realignments and shifts in the composition of parties’ congressional delegations have provided individuals with a clearer signal on which to base their partisan attachments. Men and women have responded differently to these signals and developed different political identities over the past seventy years, resulting in the gender gap in partisanship. To test this theory, I have constructed an innovative macro-level dataset of men’s and women’s partisan attachments on a quarterly basis between 1950 and 2012. I use a Seemingly Unrelated Regression framework to estimate patterns of men’s and women’s Democratic macropartisanship and whether particular factors contribute to the gender gap by having different effects on men’s and women’s partisanship. The results are consistent with my theoretical expectations, highlighting how symbolic images shape partisan attachments, and demonstrate the gender gap is a function of changes in both men’s and women’s macropartisanship.
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