This manuscript extensively reviews applications, extensions, and models derived from the Bayesian ideal point estimator. We primarily 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 North American 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. Finally, to fix ideas and illustrate the capabilities of the Bayesian ideal point estimator, we present an application involving the Colombian House of Representatives 2010-2014.
翻译:这份手稿广泛回顾了来自巴伊西亚理想点测量仪的应用、扩展和模型。我们主要关注在美国和拉丁美洲进行的研究。首先,我们详细描述了巴伊西亚理想点测量仪。接下来,我们提出一个新的分类法,以综合和框架与北美和拉丁美洲理事机构的估算仪相关的技术发展和应用。拉丁美洲现有的文献使我们可以得出结论,该区域很少有立法机构使用所讨论的方法进行了分析。此外,我们强调民主总统制中嵌入的拉丁美洲议会是利用名义投票数据使立法机构选举行为运作的新情景。我们的调查结果显示了未来研究的一些替代方案。最后,我们提出了涉及哥伦比亚众议院的2010-2014年申请,以修正观点并展示巴伊西亚理想点测量仪的能力。