Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach

• 成果类型: Review
• 署名作者: Luque, Carolina; Sosa, Juan
• 署名单位: Universidad EAN; Universidad Nacional de Colombia
• 刊物名称: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
• ISSN/ISSBN: 0162-1459
• DOI: 10.1080/01621459.2024.2413928
• 发表日期: 2025
• 页码: 572-583
• 关键词: ideal points; Policy priorities; cartel theory; BEHAVIOR; dimensionality; preferences; GOVERNMENT; ideology; PARTIES; GENDER

摘要

This article extensively reviews applications, extensions, and models derived from the Bayesian ideal point estimator. We focus our attention on studies conducted in the United States as well as Latin America. First, we provide a detailed description of the Bayesian ideal point estimator. Next, we propose a new taxonomy to synthesize and frame technical developments and applications associated with the estimator in the context of the United States Congress and Latin American governing bodies. The literature available in Latin America allows us to conclude that few legislatures in the region have been analyzed using the methodology under discussion. Also, we highlight those parliaments of Latin America embedded in democratic presidential systems as novel scenarios for operationalizing the electoral behavior of legislative bodies through nominal voting data. Our findings show some alternatives for future research.