2021
DOI: 10.1016/j.electstud.2021.102317
|View full text |Cite
|
Sign up to set email alerts
|

Did you see it coming? Explaining the accuracy of voter expectations for district and (sub)national election outcomes in multi-party systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
8
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1

Relationship

3
4

Authors

Journals

citations
Cited by 7 publications
(9 citation statements)
references
References 47 publications
1
8
0
Order By: Relevance
“…People with high education are also less likely to believe in conspiracy theories ( van Prooijen 2017 ). Furthermore, these control variables are especially important as unexpectedness itself might be influenced by sociodemographic characteristics (although the evidence is mixed) as well as political sophistication ( Mongrain 2021 ; Morisi and Leeper 2022 ). All models also include region fixed effects.…”
Section: Methodsmentioning
confidence: 99%
“…People with high education are also less likely to believe in conspiracy theories ( van Prooijen 2017 ). Furthermore, these control variables are especially important as unexpectedness itself might be influenced by sociodemographic characteristics (although the evidence is mixed) as well as political sophistication ( Mongrain 2021 ; Morisi and Leeper 2022 ). All models also include region fixed effects.…”
Section: Methodsmentioning
confidence: 99%
“…Just like political interest, news attentiveness and care should be related to higher levels of information or information‐seeking. Furthermore, previous research has shown that politically knowledgeable individuals were more likely to make accurate and realistic judgments about parties’ and candidates’ electoral prospects (Dolan & Holbrook, 2001; Mongrain, 2021a). For district‐level races, the margin of victory as well as a binary variable for reelection (0 if the incumbent party candidate fails to get reelected and 1 otherwise) 6 were included to control for the level of competitiveness and previous outcomes.…”
Section: Methodsmentioning
confidence: 99%
“…However, the results of these studies are mixed and the effect of most individual‐level factors (such as education, political knowledge, interest for politics or news attentiveness) on forecasting accuracy is often quite small. Party identification stands as the only exception as citizens who feel closer to the winning party or candidate are consistently found to be much more inclined to make a correct prediction than those who identify with one of the losing parties or candidates (see Mongrain, 2021a). Obviously, this does not mean that citizens who share the party identification of the winner are better forecasters.…”
Section: Introductionmentioning
confidence: 99%
“…These include individual and contextual characteristics. Individual characteristics can be further divided into psychological characteristics and informational characteristics (Mongrain, 2021a). Political affiliation represents the principal psychological characteristic influencing citizen forecasting competence (Mongrain, 2021a;Dolan & Holbrook, 2001).…”
Section: Overview Of Citizen Forecastingmentioning
confidence: 99%
“…Individual characteristics can be further divided into psychological characteristics and informational characteristics (Mongrain, 2021a). Political affiliation represents the principal psychological characteristic influencing citizen forecasting competence (Mongrain, 2021a;Dolan & Holbrook, 2001). Several studies reveal that citizens engage in «wishful thinking» and overestimate the probability of their preferred party winning an election (Dolan & Holbrook, 2001).…”
Section: Overview Of Citizen Forecastingmentioning
confidence: 99%