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Combining Forecasts for the 2022 French Presidential Election: The PollyVote

Published online by Cambridge University Press:  23 March 2022

Andreas Graefe Open the ORCID record for Andreas Graefe [Opens in a new window]
Andreas Graefe*
Affiliation:
Macromedia University of Applied Sciences, Munich, Germany
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Abstract

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Type
Forecasting the 2022 French Presidential Election
Information
PS: Political Science & Politics , Volume 55 , Issue 4 , October 2022 , pp. 726 - 729
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the American Political Science Association

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References

REFERENCES

Armstrong, J. Scott, Green, Kesten C., and Graefe, Andreas. 2015. “Golden Rule of Forecasting: Be Conservative.” Journal of Business Research 68 (8): 1717–31. https://doi.org/10.1016/j.jbusres.2015.03.031.CrossRefGoogle Scholar
Bélanger, Éric, Feitosa, Fernando, and Turgeon, Mathieu. 2022. “Which Historical Forecast Model Performs Best? An Analysis of 1965–2017 French Presidential Elections.” PS: Political Science & Politics. DOI:10.1017/S1049096522000439.Google Scholar
Dufresne, Yannick, Jérôme, Bruno, Lewis-Beck, Michael S., Murr, Andreas E., and Savoie, Justin. 2022. “Citizen Forecasting: The 2022 French Presidential Elections.” PS: Political Science & Politics. DOI:10.1017/S1049096522000567.Google Scholar
Facchini, Francois. 2022. “Party’s Rating and Electoral Forecasting: The Case of the French Presidential Election in 2022.” PS: Political Science & Politics. DOI:10.1017/S1049096522000440.Google Scholar
Gelman, Andrew, Goel, Sharad, Rivers, Douglas, and Rothschild, David. 2016. “The Mythical Swing Voter.” Quarterly Journal of Political Science 11 (1): 103–30.CrossRefGoogle Scholar
Graefe, Andreas. 2014. “Accuracy of Vote-Expectation Surveys in Forecasting Elections.” Public Opinion Quarterly 78 (S1): 204–32. DOI:10.1093/poq/nfu008.CrossRefGoogle Scholar
Graefe, Andreas. 2016. “Forecasting Proportional Representation Elections from Non-Representative Expectation Surveys.” Electoral Studies 42:222–28. https://doi.org/10.1016/j.electstud.2016.03.001.Google Scholar
Graefe, Andreas. 2018. “Predicting Elections: Experts, Polls, and Fundamentals.” Judgment and Decision Making 13 (4): 334–44.Google Scholar
Graefe, Andreas. 2019. “Accuracy of German Federal Election Forecasts, 2013 & 2017.” International Journal of Forecasting 35 (3): 868–77.CrossRefGoogle Scholar
Graefe, Andreas. 2021. “Embrace the Differences: Revisiting the PollyVote Method of Combining Forecasts for U.S. Presidential Elections (2004 to 2020).” International Journal of Forecasting. https://doi.org/10.1016/j.ijforecast.2021.09.010.CrossRefGoogle Scholar
Graefe, Andreas. 2022. “Replication Data for: ‘Combining Forecasts for the 2022 French Presidential Election: The PollyVote.’” Harvard Dataverse DOI:10.7910/DVN/OLGXYA.Google Scholar
Green, Kesten C., Graefe, Andreas, and Armstrong, J. Scott. 2011. “Forecasting Principles.” In International Encyclopedia of Statistical Science, ed. Lovric, Miodrag, 527–34. Berlin, Heidelberg: Springer.CrossRefGoogle Scholar
Jennings, Will, and Wlezien, Christopher. 2018. “Election Polling Errors Across Time and Space.” Nature Human Behaviour 2 (4): 276–83. DOI:10.1038/s41562-018-0315-6.CrossRefGoogle ScholarPubMed
Jérôme, Véronique, and Bélanger, Éric. 2022. “Forecasting the 2022 French Presidential Election with a SUR Regionalized Model.” PS: Political Science & Politics. DOI:10.1017/S1049096522000518.Google Scholar
Jones, Randall J. Jr. and Cuzán, Alfred G.. 2013. “Expert Judgment in Forecasting American Presidential Elections: A Preliminary Evaluation.” Chicago: Annual Meeting of the American Political Science Association.Google Scholar
Lewis-Beck, Michael S. 2005. “Election Forecasting: Principles and Practice.” British Journal of Politics and International Relations 7 (2): 145–64. DOI:10.1111/j.1467-856X.2005.00178.x.CrossRefGoogle Scholar
Lewis-Beck, Michael S., Bélanger, Éric, and Fauvelle-Aymar, Christine. 2008. “Forecasting the 2007 French Presidential Election: Ségolène Royal and the Iowa Model.” French Politics 6 (2): 106–15. DOI:10.1057/fp.2008.2.CrossRefGoogle Scholar
Murr, Andreas E., Stegmaier, Mary, and Lewis-Beck, Michael S.. 2021. “Vote Expectations Versus Vote Intentions: Rival Forecasting Strategies.” British Journal of Political Science 51 (1): 60–67. DOI:10.1017/S0007123419000061.CrossRefGoogle Scholar
Nadeau, Richard, Mongrain, Philippe, and Jérôme, Bruno. 2022. “Forecasting the 2022 French Presidential Election: From a Left–Right Logic to the Quadripolarization of Politics.” PS: Political Science & Politics. DOI:10.1017/S1049096522000488.Google Scholar
Stegmaier, Mary, and Norpoth, Helmut. 2021. “Election Forecasting.” Oxford Bibliographies. DOI:10.1093/OBO/9780199756223-0023.CrossRefGoogle Scholar
Tetlock, Phil C. 2005. Expert Political Judgment. Princeton, NJ: Princeton University Press.Google Scholar
Supplementary material: Link

Graefe Dataset

Dataset https://doi.org/10.7910/DVN/OLGXYA
Link