This study introduces a novel approach, constrained choice conditional logistic regression, for analyzing voter decision-making during elections.
Context & Method: Using survey data from Norway's 1989 parliamentary election, the authors explore how voters form their policy consideration sets and how this affects vote choices across parties.
Key Findings: Voters' consideration set composition significantly influences both the impact of party policies on voting decisions and overall electoral outcomes. Party identification interacts differently depending on which issues are being considered by voters.
Analysis & Implications: The findings challenge conventional models that assume uniform policy consideration sets for all voters, demonstrating how varying inclusion probabilities alter perceptions about parties' impacts on elections and voter behavior in general.
This approach offers a more nuanced understanding of complex electoral dynamics.
