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Citizen Forecasts of the 2021 German Election

Published online by Cambridge University Press:  09 September 2021

Andreas E. Murr Open the ORCID record for Andreas E. Murr [Opens in a new window]  and
Michael S. Lewis-Beck Open the ORCID record for Michael S. Lewis-Beck [Opens in a new window]
Andreas E. Murr
Affiliation:
University of Warwick, United Kingdom
Michael S. Lewis-Beck
Affiliation:
University of Iowa, USA
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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. 97 - 101
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the American Political Science Association

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References

REFERENCES

Forschungsgruppe Wahlen, Mannheim. 2020. “Politbarometer 1977–2019 (Partielle Kumulation).” GESIS Datenarchiv, Köln. ZA2391 Datenfile Version 12.0.0. https://doi.org/10.4232/1.13631.CrossRefGoogle Scholar
Ganser, Christian, and Riordan, Patrick. 2015. “Vote Expectations at the Next Level: Trying to Predict Vote Shares in the 2013 German Federal Election by Polling Expectations.” Electoral Studies 40:115–26.CrossRefGoogle Scholar
Graefe, Andreas. 2014. “Accuracy of Vote Expectation Surveys in Forecasting Elections.” Public Opinion Quarterly 78 (S1): 204–32.10.1093/poq/nfu008CrossRefGoogle Scholar
Graefe, Andreas. 2015. “German Election Forecasting: Comparing and Combining Methods for 2013.” German Politics 24 (2): 195–204.CrossRefGoogle Scholar
Graefe, Andreas. 2016. “Forecasting Proportional Representation Elections from Nonrepresentative Expectation Surveys.” Electoral Studies 42:222–88.CrossRefGoogle Scholar
Lehrer, Roni, Juhl, Sebastian, and Gschwend, Thomas. 2019. “The ‘Wisdom of Crowds’ Design for Sensitive Survey Questions.” Electoral Studies 57:99–109.CrossRefGoogle Scholar
Lewis-Beck, Michael S. 2005. “Election Forecasting: Principles and Practice.” British Journal of Politics and International Studies 7:145–64.Google Scholar
Lewis-Beck, Michael S., and Skalaban, Andrew. 1989. “Citizen Forecasting: Can Voters See into the Future?” British Journal of Political Science 19 (1): 146–53.CrossRefGoogle Scholar
Lewis-Beck, Michael S., and Stegmaier, Mary. 2011. “Citizen Forecasting: Can UK Voters See the Future?” Electoral Studies 30 (2): 264–68.CrossRefGoogle Scholar
Lewis-Beck, Michael S., and Tien, Charles. 1999. “Voters as Forecasters: A Micromodel of Election Prediction.” International Journal of Forecasting 15 (2): 175–84.CrossRefGoogle Scholar
Murr, Andreas E. 2011. “‘Wisdom of Crowds’? A Decentralized Election Forecasting Model That Uses Citizens’ Local Expectations.” Electoral Studies 30 (4): 771–83.CrossRefGoogle Scholar
Murr, Andreas E. 2015. “The Wisdom of Crowds: Applying Condorcet’s Jury Theorem to Forecasting US Presidential Elections.” International Journal of Forecasting 31 (3): 916–29.CrossRefGoogle Scholar
Murr, Andreas E. 2016. “The Wisdom of Crowds: What Do Citizens Forecast for the 2015 British General Election?” Electoral Studies 41 (1): 283–88.CrossRefGoogle Scholar
Murr, Andreas E., and Lewis-Beck, Michael S.. 2021. “Replication Archive for: Citizen Forecasts of the 2021 German Election.” Harvard Dataverse. doi:10.7910/DVN/WVTI2K.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.CrossRefGoogle Scholar
Stiers, Dieter, Daoust, Jean-François, and Blais, André. 2018. “What Makes People Believe That Their Party Won the Election?” Electoral Studies 55:21–29.CrossRefGoogle Scholar
Supplementary material: PDF

Murr and Lewis-Beck supplementary material

Online Appendix

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Murr and Lewis-Beck Dataset

Dataset

https://doi.org/10.7910/DVN/WVTI2K
Link