Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach
本文综述了贝叶斯理想点估计器在美国和拉丁美洲立法机构中的应用，提出新分类法，并指出拉丁美洲民主总统制下的议会是操作化选举行为的新场景。
This manuscript 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.