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Following voters in the chain of representation: The important role of pre-election pledge awareness

Published online by Cambridge University Press:  18 June 2026

Mathias Bukh Vestergaard*
Affiliation:
Department of Political Science, Aarhus University, Denmark
Carsten Jensen
Affiliation:
Department of Political Science, Aarhus University, Denmark
Troels Bøggild
Affiliation:
Department of Political Science, Aarhus University, Denmark
*
Corresponding author: Mathias Bukh Vestergaard; Email: bukh@ps.au.dk
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Abstract

Election pledges are fundamental for representative democracy, linking parties’ campaigns before elections with their behavior afterwards. Yet little is known about voters’ awareness of these pledges before elections and how this affects post-election awareness of pledge fulfillment. Triangulating between a rich set of panel and pooled cross-sectional survey data surrounding the 2019 Danish national election (N = 10,322), we show that voters who were able to recognize and recall pledges before elections were more likely to be aware of their fulfillment status after the election. Furthermore, pre-election awareness mostly benefited people with less political interest, enabling these relatively disinterested voters to nevertheless hold parties accountable. These findings have important implications for our understanding of voters’ ability to make informed choices when they delegate power to parties at elections and hold them accountable afterwards.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of European Consortium for Political Research
Figure 0

Figure 1. Figure 1 long description.The centrality of pledge awareness in mandate logic.

Figure 1

Figure 2. Figure 2 long description.Overview of the three voter studies.Notes: In the online Appendix, we show the exact start and end dates of each survey round. The post-election study was conducted just before the subsequent election (November 1, 2022).

Figure 2

Figure 3. Figure 3 long description.Pension pledge well-known among voters.Notes: N = 6,233. 95% confidence intervals. Panel A shows the share of voters who knew that the Social Democrats had made each of four salient pledges during the 2019 Danish national election. The dashed horizontal line shows the chance of randomly selecting the Social Democrats among the 13 parties (if only selecting one party and assuming that each party has an equal likelihood of being picked). Panel B shows the share of voters who mentioned a pledge related to each of the four issues and matched this pledge with the Social Democrats.

Figure 3

Figure 4. Figure 4 long description.The electorate’s recognition of the fulfillment status of the pension pledge vs. other pledges.Notes: Evaluation of fulfillment across Wave 2 (W2) and Wave 3 (W3) as well as the subgroups within these waves (G1, G2, and G3). The pension pledge (Panel A) was fulfilled by the Social Democrats within the period during which the panel surveys were conducted (specifically between the periods in which G2 and G3 in W3 were interviewed), while the health care pledge (Panel B), the climate pledge (Panel C), and the immigration pledge (Panel D) were not. The figure does not include Group 1 in Wave 2, as this group of respondents was surveyed shortly after the election was held.

Figure 4

Figure 5. Figure 5 long description.Average probability of correctly updating the fulfillment status of the pension pledge (unfulfilled in Wave 2, fulfilled in Wave 3).Notes: N = 1,241 (Model I and Model II), 1,032 (Model III and Model IV). Respondents are from the panel survey (Group 3). 95% confidence intervals (the two coefficients in all eight models are statistically significantly different from each other, p < 0.01). The figure is based on OLS regression models with standard errors clustered at the individual level. The dependent variable is dichotomous, with the successful outcome being correctly updating the fulfillment status of the pension pledge (Wave 2 = not fulfilled, Wave 3 = fulfilled). Model I includes no control variables, Model II includes five demographic control variables (gender, age, education, children under 18, and region), Model III includes ten political control variables (political trust, ideology, Social Democrats voting, sympathy toward the Social Democrats, pledge saliency, issue saliency, pledge agreement, political efficacy, political interest, and news interest), and Model IV includes all fourteen control variables (demographic and political). Regression tables of Model IV are shown in the Appendix.

Figure 5

Figure 6. Figure 6 long description.Average probability of answering ‘fulfilled’ for each of the four pledges in Wave 2 and Wave 3, for different degrees of pre-election pension pledge awareness.Notes: N = 1,945 (Panel A), 1,933 (Panel B), 1,966 (Panel C), 1,957 (Panel D). Respondents are from the panel survey (Group 3). 95% confidence intervals. The figure is based on an OLS regression model with standard errors clustered at the individual level. The regression table is shown in the Appendix.

Figure 6

Figure 7. Figure 7 long description.The equalizing effect of knowing the sponsor of a pledge on the ability to correctly evaluate a pledge as fulfilled (for low-interest voters compared to high-interest).Notes: N = 1,032 (respondents in Group 3). 95% confidence intervals. The figure is based on an OLS regression model with standard errors clustered at the individual level with the same control variables as in Figure 5, Model IV (see figure notes). The dependent variable is dichotomous, with the successful outcome being correctly updating the fulfillment status of the pension pledge (Wave 2 = not fulfilled, Wave 3 = fulfilled). The regression table is shown in the Appendix.

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