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Deepening MRP Analysis: How Voter Turnout Changes Differ Across Complex Demographic Subgroups
Insights from the Field
MRP (Multilevel Regression and Poststratification)
subgroup interactions
voter turnout patterns
survey weighting techniques
nonlinearity modeling
Methodology
AJPS
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Dataverse
Deep Interactions With MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups was authored by Yair Ghitza and Andrew Gelman. It was published by Wiley in AJPS in 2013.

This article advances Multilevel Regression and Poststratification (MRP) by introducing deeper subgroup interactions.
Data & Methods: It details improved statistical models for analyzing 2004 and 2008 presidential election data, accounting for survey weights and complexities like nonlinearity.
Key Findings: Voter turnout and vote choice patterns shift significantly within highly specific demographic subsets defined by multiple characteristics. The authors demonstrate how these nuanced changes were missed using standard techniques.
Why It Matters: This work provides a more accurate picture of political behavior across diverse populations, crucial for understanding election dynamics in fragmented societies.

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American Journal of Political Science
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