Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Citizen Forecasts of the 2021 German Election

Bibliographic Data

ID6098396
AuthorsAndreas Erwin Murr (0000-0002-9536-0118, University of Warwick), Michael S Lewis-Beck (0000-0003-0301-5497, University of Iowa)
Year2022
Volume55
Issue1
Pages97-101
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePS Political Science & Politics (JOURNAL)
Journal identifiersISSN: 1049-0965 • E-ISSN: 1537-5935
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1049096521000925
OpenAlexW3200846479
LanguageEN
Citations received3
References cited16

There are various scientific approaches to election forecasting: poll aggregation, structural models, electronic markets, and citizen forecasting. With respect to the German case, the first two approaches—polls and models—perhaps have been the most popular. However, relatively little work has been done deploying citizen forecasting (CF), the approach described in this article. In principle, CF differs considerably from other methods and appears, on its face, quite simple. Before an election, citizens are asked in a national survey who they think will win. As the percentage of expectations for party X increases, the likelihood of an X win is judged to be higher. The method has been applied regularly with success in other established democracies, such as the United Kingdom and the United States. \n \n

Advertising · Business · German · Internet privacy · Political science · Computer Science · Electoral Systems and Political Participation · History · Mathematics · Policy Transfer and Learning · Public Administration and Political Analysis

  • With a little help from my friends? The impact of social networks on citizens' forecasting ability

    Open Access•Philippe Mongrain•European Journal of Political…•2023

  • Combining Forecasts for the 2021 German Federal Election

    Open Access•Andreas Graefe•PS Political Science & Politics•2022

  • Forecasting the 2021 German Federal Election

    Open Access•Bruno Jerôme, Andreas Graefe•PS Political Science & Politics•2022

  • Election Forecasting

    Open Access•Michael S Lewis-Beck•The British Journal of Politics…•2005

  • Accuracy of Vote Expectation Surveys in Forecasting Elections

    Andreas Graefe•Public Opinion Quarterly•2014

  • German Election Forecasting

    Andreas Graefe•German Politics•2015

  • Vote Expectations Versus Vote Intentions

    Open Access•Andreas Erwin Murr, Mary Stegmaier et al.•British Journal of Political…•2021

  • Citizen Forecasting

    Open Access•Michael S Lewis-Beck, Andrew Skalaban•British Journal of Political…•1989

  • Forecasting proportional representation elections from non-representative expectation surveys

    Open Access•Andreas Graefe•Electoral Studies•2016

  • The wisdom of crowds

    Open Access•Andreas Erwin Murr•Electoral Studies•2016

  • "Wisdom of crowds"? A decentralised election forecasting model that uses citizens' local expectations

    Open Access•Andreas Erwin Murr•Electoral Studies•2011

  • What makes people believe that their party won the election

    Open Access•Dieter Stiers, Jean-François Daoust et al.•Electoral Studies•2018

  • Vote expectations at the next level. Trying to predict vote shares in the 2013 German federal election by polling expectations

    Open Access•Christian Ganser, Patrick Riordan•Electoral Studies•2015

  • Citizen forecasting

    Open Access•Michael S Lewis-Beck, Mary Stegmaier•Electoral Studies•2011

  • The wisdom of crowds design for sensitive survey questions

    Open Access•Roni Lehrer, Sebastian Juhl et al.•Electoral Studies•2019

Unique citing works3
Citations per year0,75
Citation span2022 - 2023 (2)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae