首页> 外文期刊>Geographical analysis >Policy Coalitions in the U.S. Congress: A Spatial Duration Modeling Approach
【24h】

Policy Coalitions in the U.S. Congress: A Spatial Duration Modeling Approach

机译:美国国会的政策联盟:空间持续时间建模方法

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

This paper applies spatial duration models to the analysis of cosponsorship coalitions in the U.S. House of Representatives. This approach provides a unique and simultaneous statistical analysis of ideological space (specifically, coalition formation) and geographical space. Typically, duration models are associated with temporal longitudinal data, but recently have been adapted to the spatial domain (Pellegrini and Reader 1996). In this paper, spatial duration models are further adapted to examine ideological space including a consideration of unobserved sources of spatial variation (or omitted variable bias).We examine two features of cosponsorship coalitions, breadth and clustering. Breadth is defined as the ideological distance between the two most extreme members of the coalition which is an important “signal” to the rest of Congress regarding the scope and broad appeal of the proposed legislation. In contrast, clustering refers to the distance between individual members of a coalition and reveals the tendency, or not, of ideologically similar members of Congress to support various bills. To examine breadth and clustering, we employ spatial duration models of cosponsorship that permit a multivariate analysis incorporating both the characteristics of members of Congress and the geographical regions they represent.Results indicate that cosponsorship coalition patterns are primarily determined by the content of the legislation, not the actions of the coalition leadership. While the leadership characteristics of sponsors have a limited effect on cosponsorship breadth, the size of the coalition is the primary determinent. Leadership characteristics also have little effect on cosponsorship clustering. Rather, clustering is due to members' policy preferences, as measured by distance to the coalition leader. In addition, the duration analysis results suggest that geographical proximity between members of Congress “overcomes” ideological distance. Finally, the spatial duration approach is noted as a fruitful methodology for examining explicitly spatial patterns in both ideological or geographical space.
机译:本文将持续时间模型应用于美国众议院的共同赞助联盟分析。这种方法提供了意识形态空间(特别是联盟形成)和地理空间的独特且同时的统计分析。通常,持续时间模型与时间纵向数据相关联,但最近已适应于空间域(Pellegrini和Reader 1996)。在本文中,空间持续时间模型进一步适用于检查意识形态空间,其中包括对未观察到的空间变化源(或忽略的变量偏差)的考虑。我们研究了共同赞助联盟的两个特征:广度和聚类。广度被定义为联盟中两个最极端成员之间的意识形态距离,这是国会其余部分就拟议立法的范围和广泛吸引力而言的重要“信号”。相反,聚类是指联盟各成员之间的距离,它揭示了意识形态上相似的国会议员支持各种法案的趋势。为了研究广度和聚类,我们使用了共同赞助的空间持续时间模型,该模型允许对国会议员及其代表的地理区域的特征进行多变量分析,结果表明共同赞助的联盟模式主要由立法的内容决定,而不是由立法的内容决定。联盟领导的行动。虽然赞助者的领导特征对共同赞助的广度影响有限,但联盟的规模是主要决定因素。领导特征对共同赞助的集群影响也很小。相反,群集是由于成员的政策偏好所致,该偏好是根据与联盟领导人的距离来衡量的。此外,持续时间分析结果表明,国会议员之间的地理接近度“克服了”意识形态上的距离。最后,空间持续时间方法是一种有效的方法,可用于明确检查意识形态或地理空间中的空间格局。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号