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Cited by 160Forecasting Techniques and ApplicationsSports Analytics and PerformanceElectoral Systems and Political Participation

The DOI matches its Crossref record; 54 of the 65 references it cites were found in a registry or an index.

Combining forecasts: An application to elections

Open access
Graefe, Andreas, Armstrong, J. Scott, Jones, Randall J., Cuzán, Alfred G.·2014·International Journal of Forecasting
DOI 10.1016/j.ijforecast.2013.02.005
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Crossref · 10.1016/j.ijforecast.2013.02.005

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Citations

Cites

Research works printed but not linked: 19

  1. Abramowitz, 2012, Forecasting in a polarized era: the time for change model and the 2012 presidential election, PS: Political Science and Politics, 45, 618
  2. Armstrong, 2007, Significance tests harm progress in forecasting, International Journal of Forecasting, 23, 321, 10.1016/j.ijforecast.2007.03.004 · DOI
  3. Berry, 2012, Forecasting the 2012 presidential election with state-level economic indicators, PS: Political Science and Politics, 45, 669
  4. Campbell, 2012, Forecasting the presidential and congressional elections of 2012: the trial-heat and the seats-in-trouble models, PS: Political Science and Politics, 45, 630
  5. Cuzán, 2005, How we computed the PollyVote, Foresight: The International Journal of Applied Forecasting, 1, 51
  6. Erikson, 2001, Was the 2000 presidential election predictable?, PS: Political Science and Politics, 34, 815
  7. Graefe, 2012, Issue and leader voting in US presidential elections, Electoral Studies
  8. Graefe, A. (2013). Conditions of ensemble Bayesian model averaging for political forecasting. Working Paper. Available at http://ssrn.com/abstract=2266307.
  9. Graefe, 2009, Combined forecasts of the 2008 election: the Pollyvote, Foresight: The International Journal of Applied Forecasting, 12, 41
  10. Graefe, 2013, Combined forecasts of the 2012 election: the Pollyvote, Foresight: The International Journal of Applied Forecasting, 28, 50
  11. Haynes, 2008, A disaggregate approach to economic models of voting in US presidential elections: forecasts of the 2008 election, Economics Bulletin, 4, 1
  12. Hibbs, 2012, Obama’s reelection prospects under “bread and peace” voting in the 2012 US presidential election, PS: Political Science and Politics, 45, 635
  13. Holbrook, 2012, Incumbency, national conditions, and the 2012 presidential election, PS: Political Science and Politics, 45, 640
  14. Jones, 2008, Forecasting US presidential elections: a brief review, Foresight: The International Journal of Applied Forecasting, 10, 29
  15. Klarner, 2012, State-level forecasts of the 2012 Federal and Gubernatorial elections, PS: Political Science and Politics, 45, 655
  16. Levins, 1966, The strategy of model building in population biology, American Scientist, 54, 421
  17. Lockerbie, 2012, Economic expectations and election outcomes: the presidency and the house in 2012, PS: Political Science and Politics, 45, 644
  18. National Industrial Conference Board (1963). Forecasting sales. Studies in business policy, No. 106. New York.
  19. Sigelman, 1994, Predicting the 1992 election, Political Methodologist, 5, 14

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Metadata

Authors
Graefe, A., Armstrong, J. S., Jones, R. J., & Cuzán, A. G.
Affiliations
  • Ludwig-Maximilians-Universität München (DE)
  • University of South Australia (AU)
  • University of Central Oklahoma (US)
  • University of West Florida (US)
Corresponding author
Graefe, Andreas
ORCID
Venue
International Journal of Forecasting
Publisher
Elsevier BV
Published
2014-01
Volume
30
Issue
1
Pages
43-54
ISSN
0169-2070 (ISSN-L)
DOI
10.1016/j.ijforecast.2013.02.005
OpenAlex
W2008534646
Cited by
160
References
65
Citations by year
2026: 4 · 2025: 4 · 2024: 5 · 2023: 6 · 2022: 14 · 2021: 16 · 2020: 14 · 2019: 10 · 2018: 17 · 2017: 15 · 2016: 22 · 2015: 15 · 2014: 12
FWCI
23.68
Type
journal article
Language
en
Open access
Locations
  • International Journal of Forecasting (publishedVersion)
  • SSRN Electronic Journal (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Sports Analytics and Performance
  • Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
Keywords
forecast combination, election forecasting, US presidential election, expert opinion, Iowa Electronic Markets, forecast accuracy, forecast uncertainty, forecast averaging

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