Abstract
From the moment Donald Trump took the oath of office, women’s political engagement skyrocketed. This groundswell of activism almost immediately led to widespread reporting that Trump’s victory was inspiring a large new crop of female candidates across the country. We rely on a May 2017 national survey of “potential candidates” and the 2018 midterm election results to assess whether this “Trump Effect” materialized. Our analysis uncovers some evidence for it. Democrats – especially women – held very negative feelings toward Trump, and those feelings generated heightened political interest and activity during the 2018 election cycle. That activism, however, was not accompanied by a broad scale surge in women’s interest in running for office. In fact, the overall gender gap in political ambition today is quite similar to the gap we’ve uncovered throughout the last 20 years. Notably, though, about one quarter of the Democratic women who expressed interest in running for office first started thinking about it only after Trump was elected. That relatively small group of newly interested candidates was sufficient to result in a record number of Democratic women seeking and winning election to Congress. With no commensurate increase in Republican women’s political engagement or candidate emergence, however, prospects for gender parity in US political institutions remain bleak.
About the authors
Jennifer L. Lawless is the author or co-author of six books, including Women on the Run: Gender, Media, and Political Campaigns in a Polarized Era and It Still Takes a Candidate: Why Women Don’t Run for Office. Her research on political ambition, campaigns and elections, and women and politics has been supported by the National Science Foundation, appeared in numerous academic journals, and is regularly cited in the popular press. She is an associate editor of the American Journal of Politics Science, and holds an appointment as a non-resident senior fellow at the Brookings Institution. She graduated from Union College with a BA in political science, and Stanford University with an MA and PhD in political science. In 2006, she sought the Democratic nomination for the US House of Representatives in Rhode Island’s second congressional district. Although she lost the race, she remains an obsessive political junkie.
Richard L. Fox conducts research that examines how gender affects voting behavior, state executive elections, congressional elections, and political ambition. Most recently he is co-editor of Gender and Elections: Shaping the Future of American Politics and coauthor of Women, Men & US Politics: Ten Big Questions. Other books include Running from Office: Why Young Americans Are Turned Off to Politics and It Still Takes a Candidate: Why Women Don’t Run for Office. His articles have appeared in Journal of Politics, American Journal of Political Science, American Political Science Review, Political Psychology, PS, Women & Politics, Political Research Quarterly, and Public Administration Review. He holds a BA in political science from Claremont McKenna College and a PhD from University of California, Santa Barbara.
Appendix: Data Collection and the Sample
We conducted our survey of potential candidates through GfK Custom Research LLC (formerly Knowledge Networks), which relies on a probability-based online non-volunteer access panel. In our case, GfK employed customized stratified random sampling based on level of education and employment status; only college-educated citizens who were employed full-time were eligible to be surveyed. The response rate for men was 58% and for women 55%. Table A1 provides basic demographics of the respondents.
Demographics of the Sample.
Women | Men | |
---|---|---|
Party Affiliation | ||
Strong Democrat | 27% | 18% |
Democrat | 19 | 11 |
Independent, leaning Democrat | 18 | 20 |
Independent | 2 | 2 |
Independent, leaning Republican | 11 | 20 |
Republican | 12 | 12 |
Strong Republican | 11 | 17 |
Race | ||
White | 72 | 75 |
Black | 10 | 6 |
Latino/Hispanic | 8 | 7 |
More than Two Races or Other | 11 | 11 |
Household Income | ||
Less than $50,000 | 15 | 10 |
$50,001–$74,999 | 15 | 13 |
$75,000–$99,999 | 19 | 15 |
$100,00–$199,000 | 43 | 47 |
At least $200,000 | 9 | 15 |
Highest Degree Received | ||
Bachelor’s degree | 56 | 57 |
Master’s degree | 32 | 30 |
Doctorate or professional degree | 12 | 13 |
Age | ||
18–29 | 18 | 15 |
30–44 | 31 | 30 |
45–59 | 32 | 34 |
60 or older | 19 | 20 |
Region | ||
Northeast | 23 | 21 |
Midwest | 23 | 20 |
South | 32 | 34 |
West | 23 | 26 |
Sample Size | 1001 | 1061 |
Entries are based on raw (unweighted) data.
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