Stephen Ansolabehere
Harvard University
192 Papers
1.5K Citations
Stephen Ansolabehere is an academic researcher from Harvard University. The author has contributed to research in topics: Voting & Voting behavior. The author has an hindex of 51, co-authored 187 publications. Previous affiliations of Stephen Ansolabehere include University of California, Los Angeles & Massachusetts Institute of Technology.
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Papers
Why is There So Little Money in U.S. Politics
TL;DR: In this paper, the authors argue that campaign contributions are not a form of policy-buying, but are rather a sign of political participation and consumption, and that individuals, not special interests, are the main source of campaign contributions.
•Book
Going negative : how political advertisements shrink and polarize the electorate
Stephen Ansolabehere,Shanto Iyengar +1 more
- 01 Jan 1997
TL;DR: The authors show that negative advertising drives down voter turnout and that political consultants intentionally use ads for this very purpose, and that negative ads work better for Republicans than for Democrats, and better for men than for women.
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•Posted Content
Why is There so Little Money in Politics
TL;DR: In this article, the authors argue that campaign contributions are not a form of policy-buying, but are rather a sign of political participation and consumption, and that individuals, not special interests, are the main source of campaign contributions.
879
Candidate Positioning in U.S. House Elections
TL;DR: For example, this paper argued that in the U.S., when candidates-incumbents, challengers, and open-seat contestants alike-balance the broad policy views of the local district and the national party, the dominant party dominates.
"The Strength of Issues: Using Multiple Measures to Gauge Preference Stability, Ideological Constraint, and Issue Voting"
TL;DR: The authors show that averaging a large number of survey items on the same broadly defined issue area (for example, government involvement in the economy, or moral issues) eliminates a large amount of measurement error and reveals issue preferences that are well structured and stable.