Forecasting presidential elections: Accuracy of ANES voter intentions
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DOI: 10.1016/j.ijforecast.2024.03.003
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- Nadeau, Richard & Dassonneville, Ruth & Lewis-Beck, Michael S. & Mongrain, Philippe, 2020. "Are election results more unpredictable? A forecasting test," Political Science Research and Methods, Cambridge University Press, vol. 8(4), pages 764-771, October.
- Jackman, Simon & Spahn, Bradley, 2019. "Why Does the American National Election Study Overestimate Voter Turnout?," Political Analysis, Cambridge University Press, vol. 27(2), pages 193-207, April.
- Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
- Ansolabehere, Stephen & Hersh, Eitan, 2012. "Validation: What Big Data Reveal About Survey Misreporting and the Real Electorate," Political Analysis, Cambridge University Press, vol. 20(4), pages 437-459.
- Campbell, James E. & Lewis-Beck, Michael S., 2008. "US presidential election forecasting: An introduction," International Journal of Forecasting, Elsevier, vol. 24(2), pages 189-192.
- Jennings, Will & Lewis-Beck, Michael & Wlezien, Christopher, 2020. "Election forecasting: Too far out?," International Journal of Forecasting, Elsevier, vol. 36(3), pages 949-962.
- Murr, Andreas E., 2015. "The wisdom of crowds: Applying Condorcet’s jury theorem to forecasting US presidential elections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 916-929.
- Gelman, Andrew & King, Gary, 1993. "Why Are American Presidential Election Campaign Polls So Variable When Votes Are So Predictable?," British Journal of Political Science, Cambridge University Press, vol. 23(4), pages 409-451, October.
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Keywords
Election forecast; Presidential elections; Voter intention; United States; ANES;All these keywords.
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