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Combining Forecasts for the 2021 German Federal Election: The PollyVote

Published online by Cambridge University Press:  09 September 2021

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

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Type
Forecasting the 2021 German Elections
Information
PS: Political Science & Politics , Volume 55 , Issue 1 , January 2022 , pp. 69 - 72
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the American Political Science Association

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Footnotes

This is an updated version of the original article. For details please see the notice at https://doi.org/10.1017/S1049096521001797.

References

REFERENCES

Armstrong, J. Scott. 2001. “Combining Forecasts.” In Principles of Forecasting: A Handbook for Researchers and Practitioners, ed. Scott Armstrong, J., 417–39. New York: Springer Publishing Company.CrossRefGoogle Scholar
Bauer, Alexander, Bender, Andreas, Klima, Andre, and Küchenhoff, Helmut. 2021. “Mundus vult decipi, ergo decipiatur: Visual Communication of Uncertainty in Election Polls.” PS: Political Science & Politics. In this issue.CrossRefGoogle Scholar
Gelman, Andrew, Goel, Sharad, Rivers, Douglas, and Rothschild, David. 2016. “The Mythical Swing Voter.” Quarterly Journal of Political Science 11 (1): 103–30. DOI: 10.1561/100.00015031.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. 2017. “Political Markets.” In The SAGE Handbook of Electoral Behavior, ed. Arzheimer, Kai, Evans, Jocelyn, and Lewis-Beck, Michael S., 861–82. London: SAGE Publications.CrossRefGoogle 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): 868–877. DOI: 10.1016/j.ijforecast.2019.01.004.CrossRefGoogle Scholar
Graefe, Andreas. 2021a. “Embrace the Differences: Revisiting the PollyVote Method of Combining Forecasts for US Presidential Elections (2004 to 2020).” Social Science Research Network Working Paper. ssrn.com/abstract=3871059.CrossRefGoogle Scholar
Graefe, Andreas. 2021b. “Replication Archive for: Combining Forecasts for the 2021 German Federal Election: The PollyVote.” Harvard Dataverse. https://doi.org/10.7910/DVN/KWTJJV.CrossRefGoogle Scholar
Groß, Marcus. 2021. “A Long-Short Term Event Memory State-Space Model for Multi-Party Elections.” Zenodo. DOI: 10.5281/zenodo.3697270.CrossRefGoogle Scholar
Thomas, Gschwend, Klara, Müller, Simon, Munzert, Marcel, Neunhoeffer, and Stoetzer, Lukas F.. 2021. “The Zweitstimme Model: A Dynamic Forecast of the 2021 German Federal Election.” PS: Political Science & Politics. DOI: 10.1017/S1049096521000913.CrossRefGoogle 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. ssrn.com/abstract=2303052.Google Scholar
Kayser, Mark, and Leininger, Arndt. 2021. “A Länder-Based Forecast of the 2021 German Bundestag Election.” PS: Political Science & Politics. In this issue.CrossRefGoogle Scholar
Murr, Andreas E., and Lewis-Beck, Michael S.. 2021. “Citizen Forecasts of the 2021 German Election.” PS: Political Science & Politics. In this issue.CrossRefGoogle Scholar
Quinlan, Stephen, Schnaudt, Christian, and Lewis-Beck, Michael S.. 2021. “Forecasting Bloc Support in German Federal Elections: A Political-History Model.” PS: Political Science & Politics. In this issue.CrossRefGoogle Scholar
Supplementary material: Link

Graefe Dataset

Dataset

https://doi.org/10.7910/DVN/KWTJJV
Link