The mythical swing voter

Quarterly Journal of Political Science

Volumn 11, Issue 1, 2016, Pages 103-130

  Gelman, Andrew ^a   Goel, Sharad ^b   Rivers, Douglas ^b   Rothschild, David ^c  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b STANFORD UNIVERSITY   (United States)

^c MICROSOFT RESEARCH   (United States)

Author keywords

Elections; Multilevel regression and poststratification; Swing voters

Indexed keywords

EID: 84968816709     PISSN: 15540626     EISSN: 15540634     Source Type: Journal    
DOI: 10.1561/100.00015031     Document Type: Review

References (18)

1. Allsop, D. and H. F. Weisberg (1988), "Measuring Change in Party Identification in an Election Campaign", American Journal of Political Science, 996-1017.
2. Baldassarri, D. and A. Gelman (2008), "Partisans Without Constraint: Political Polarization and Trends in American Public Opinion", American Journal of Sociology, 114(2), 408-46.
3. DeBell, M. and J. A. Krosnick (2009), "ComputingWeights for American National Election Study Survey Data", ANES Technical Report series, no. nes012427. Ann Arbor, MI, and Palo Alto, CA: American National Election Studies. Available at: http://www.electionstidies. org.
4. Fiorina, M. P. and S. J. Abrams (2008), "Political Polarization in the American Public", Annual Review of Political Science, 11, 563-88.
5. Gelman, A. and J. Hill (2006), Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press.
6. Gelman, A. and G. King (1993), "Why Are American Presidential Election Campaign Polls So Variable When Votes Are So Predictable?", British Journal of Political Science, 23(04), 409-51.
7. Gelman, A. and T. C. Little (1997), "Poststratification into Many Categories Using Hierarchical Logistic Regression", Survey Methodology.
8. Ghitza, Y. and A. Gelman (2013), "Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups", American Journal of Political Science, 57(3), 762-76.
9. Gutsche, T., A. Kapteyn, E. Meijer, and B. Weerman (2014), "The RAND Continuous 2012 Presidential Election Poll", Public Opinion Quarterly.
10. Hillygus, D. S. and S. Jackman (2003), "Voter Decision Making in Election 2000: Campaign Effects, Partisan Activation, and the Clinton Legacy", American Journal of Political Science, 47(4), 583-96.
11. Himmelweit, H. T., M. J. Biberian, and J. Stockdale (1978), "Memory for Past Vote: Implications of A Study of Bias in Recall", British Journal of Political Science, 8(03), 365-75.
12. Kaminska, O. and C. Barnes (2008), "Party Identification Weighting: Experiments to Improve Survey Quality", in Elections and Exit Polling, NJ, Wiley Hoboken, 51-61.
13. Kaplan, N., D. K. Park, and A. Gelman (2012), "Polls and Elections Understanding Persuasion and Activation in Presidential Campaigns: The Random Walk and Mean Reversion Models", Presidential Studies Quarterly, 42(4), 843-66.
14. Lax, J. R. and J. H. Phillips (2009), "How Should We Estimate Public Opinion in the States?", American Journal of Political Science, 53(1), 107-21.
15. Levendusky, M. (2009), The Partisan Sort: How Liberals became Democrats and Conservatives became Republicans, University of Chicago Press.
16. Little, R. J. A. (1993), "Post-stratification: A Modeler's Perspective", Journal of the American Statistical Association, 88(423), 1001-12.
17. Reilly, C., A. Gelman, and J. Katz (2001), "Poststratification Without Population Level Information on the Poststratifying Variable With Application to Political Polling", Journal of the American Statistical Association, 96(453).
18. Sides, J. and L. Vavreck (2014), The gamble: Choice and Chance in the 2012 Presidential Election, Princeton University Press.