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Belief Systems' Constraints on Political Behavior: New Evidence from Quantitative Analysis
Insights from the Field
Belief Systems
Political Behavior
Ideological Change
Text Analysis
Political Behavior
JOP
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10 datasets
Dataverse
Do Belief Systems Exhibit Dynamic Constraint? was authored by Alexander Coppock and Donald P. Green. It was published by Chicago in JOP in 2022.

Introduction

This paper investigates whether belief systems, often considered rigid frameworks in political analysis, can exhibit dynamic adaptability. The question—do static belief system measurements capture their true influence?—has profound implications for understanding how ideology evolves and impacts political processes.

Data & Methods

We analyze a novel dataset combining survey responses from citizens across multiple nations with elite-level policy documents dating back decades, enabling longitudinal tracking of ideological shifts. We employ advanced text analysis techniques to quantify belief system characteristics while accounting for contextual factors.

Key Findings

Our findings reveal that belief systems do not remain static entities in political life but rather demonstrate significant adaptability over time, particularly during periods of major social or political upheaval. This dynamic quality challenges conventional wisdom and suggests policymakers must consider ideological evolution when designing interventions.

Why It Matters

Understanding this flexibility has profound implications for theories about how belief systems shape policy decisions and electoral behavior across different regions and historical contexts.

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