Ideal Point Estimation

Measuring Issue-Specific Preferences From Votes

Sooahn Shin (Harvard University)

Abstract: How can we measure issue-specific ideal points using roll-call votes? Ideal points have been widely used for measuring ideology, yet its nature of latent space makes it difficult to target a...

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Contrastive Multiple Component Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups

Tzu-Ping Liu and Takanori Fujiwara (University of California, Davis)

Abstract: Ideal point estimation and dimensionality reduction have long been utilized to simplify and cluster complex, high-dimensional political data (e.g., roll-call votes, surveys, and texts) for use in (preliminary) analysis and...

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Non-Parametric Bridging of Non-Parametric Ideological Scales: Application to Mapping Voters on Politicians’ Ideological Space

Tzu-Ping Liu, Gento Kato and Samuel Fuller (University of California, Davis)

Abstract: Bridging ideological estimates of various groups and polities is an important, but relatively troubled branch of...

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