6,038 research outputs found
Backboning Process for Donation Networks
No full textProvides detailed files to replicate just the backboning process outlined in: Reuning, Kevin "Mapping Influence: Partisan Networks Across the United States, 2000 to 2016." State Politics and Policy Quarterl
Backboning Process for Donation Networks
No full textProvides detailed files to replicate just the backboning process outlined in: Reuning, Kevin "Mapping Influence: Partisan Networks Across the United States, 2000 to 2016." State Politics and Policy Quarterl
Full Cycle Donation Networks
No full textProvides edge lists and metadata for the donation networks created described in:
Reuning, Kevin "Mapping Influence: Partisan Networks Across the United States,
2000 to 2016." State Politics and Policy Quarterly
Networks are generated for an entire chamber cycle, meaning that every seat in the chamber has been up for election at least once. These networks will overlap over time.</p
Election Donation Networks
No full textProvides edge lists and metadata for the donation networks created described in: Reuning, Kevin "Mapping Influence: Partisan Networks Across the United States, 2000 to 2016." State Politics and Policy Quarterly
Networks are generated for an entire chamber cycle, meaning that every seat in the chamber has been up for election at least once. These networks will overlap over time.</p
Full Cycle Donation Networks
No full textProvides edge lists and metadata for the donation networks created described in:
Reuning, Kevin "Mapping Influence: Partisan Networks Across the United States,
2000 to 2016." State Politics and Policy Quarterly
Networks are generated for an entire chamber cycle, meaning that every seat in the chamber has been up for election at least once. These networks will overlap over time.</p
Election Donation Networks
No full textProvides edge lists and metadata for the donation networks created described in: Reuning, Kevin "Mapping Influence: Partisan Networks Across the United States, 2000 to 2016." State Politics and Policy Quarterly
Networks are generated for an entire chamber cycle, meaning that every seat in the chamber has been up for election at least once. These networks will overlap over time.</p
Appendix_SPPQ – Supplemental material for Mapping Influence: Partisan Networks across the United States, 2000 to 2016
No full textSupplemental material, Appendix_SPPQ for Mapping Influence: Partisan Networks across the United States, 2000 to 2016 by Kevin Reuning in State Politics & Policy Quarterly</p
Vol. 17(2): Replication Data for: Media Coverage, Public Interest, and Support in the 2016 Republican Invisible Primary
No full textDonald Trump's success in the 2016 presidential primary election prompted scrutiny for the role of news media in elections. Was Trump successful because news media publicized his campaign and crowded out coverage of other candidates? We examine the dynamic relationships between media coverage, public interest, and support for candidates in the time preceding the 2016 Republican presidential primary to determine (1) whether media coverage drives support for candidates at the polls and (2) whether this relationship was different for Trump than for other candidates. We find for all candidates that the quantity of media coverage had significant and long-lasting effects on public interest in that candidate. Most candidates do not perform better in the polls following increases in media coverage. Trump is an exception to this finding, receiving a modest polling bump following an increase in media coverage. These findings suggest that viability cues from news media contributed to Trump's success and can be influential in setting the stage in primary elections
Vol. 17(2): Replication Data for: Media Coverage, Public Interest, and Support in the 2016 Republican Invisible Primary
No full textDonald Trump's success in the 2016 presidential primary election prompted scrutiny for the role of news media in elections. Was Trump successful because news media publicized his campaign and crowded out coverage of other candidates? We examine the dynamic relationships between media coverage, public interest, and support for candidates in the time preceding the 2016 Republican presidential primary to determine (1) whether media coverage drives support for candidates at the polls and (2) whether this relationship was different for Trump than for other candidates. We find for all candidates that the quantity of media coverage had significant and long-lasting effects on public interest in that candidate. Most candidates do not perform better in the polls following increases in media coverage. Trump is an exception to this finding, receiving a modest polling bump following an increase in media coverage. These findings suggest that viability cues from news media contributed to Trump's success and can be influential in setting the stage in primary elections
Replication Data for: The Party Replies: Examining Local Party Responsiveness to Prospective Campaign Volunteers
No full textWe examine the role that local parties play in responding to and equipping local volunteers to work during campaign seasons. We use a field experiment during the 2020 U.S. general election to investigate whether local parties are more likely to respond to certain types of volunteers and to examine what factors are associated with local parties’ responsiveness. We find that both Democratic and Republican local parties in competitive counties are more likely to respond to volunteers. Moreover, we find that both parties are more likely to respond to white volunteers and Democratic parties are more likely to respond to women. These differential response rates may be contributing to the increased demographic sorting between the parties
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