Towards a Paradigmatic Shift in Pre-election Polling Adequately Including Still Undecided Voters -- Some Ideas Based on Set-Valued Data for the 2021 German Federal Election
Dominik Kreiss, Thomas Augustin

TL;DR
This paper introduces a new methodology for pre-election polling that incorporates undecided voters' set-valued responses, leading to more accurate forecasts and a deeper understanding of voter ambiguity in the 2021 German federal election.
Contribution
It develops and applies a novel approach to include undecided voters' set-valued data, improving election forecasts and understanding of voter behavior compared to traditional methods.
Findings
Undecided voters' set-valued responses provide valuable information for forecasting.
Including undecided voters' ambiguity results in more credible election predictions.
Structural differences exist between decided and undecided voters, affecting coalition analysis.
Abstract
Within this paper we develop and apply new methodology adequately including undecided voters for the 2021 German federal election. Due to a cooperation with the polling institute Civey, we are in the fortunate position to obtain data in which undecided voters can state all the options they are still pondering between. In contrast to conventional polls, forcing the undecided to either state a single party or to drop out, this design allows the undecided to provide their current position in an accurate and precise way. The resulting set-valued information can be used to examine structural properties of groups undecided between specific parties as well as to improve election forecasting. For forecasting, this partial information provides valuable additional knowledge, and the uncertainty induced by the participants' ambiguity can be conveyed within interval-valued results. Turning to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical and Computational Modeling · Statistical Methods and Inference
