Government Performance, Valence Judgments, and The Dynamics of Party Support

这个研究项目推进了民主政治中政党支持的动态和决定因素的知识。研究的一个方面涉及公共服务提供与政党总体支持之间的动态关系。敏锐地意识到这些关系的重要性，不同意识形态色彩的执政党一再尝试，不仅要加强公共服务的供应，还要抑制选民对公共服务的需求。后一种努力取得的成功相对较少。许多选民仍然相信，政府能够而且应该大力参与教育、卫生、福利和交通等领域，私有化计划经常出错，当公共服务出现问题或根本没有提供时，政府应该负责。然而，迄今为止，对影响政党支持总体动态的因素的研究主要集中在，实际上几乎完全集中在经济条件和各种“一次性”政治事件的影响上。由于将注意力限制在经济状况和重大事件上，现有的研究忽视了公众对政府在各种高度突出的政策领域（如医疗保健、教育和国家安全）表现的反应的后果。在首席研究员及其同事早期关于政党支持决定因素的研究结果的基础上，该研究将指定并测试几个重要政策领域的政府绩效评估如何影响英国主要成熟民主国家执政党和反对党总体支持动态的竞争模型。该研究的第二个方面涉及对政党支持的个人层面动态建模。在这里，主要的焦点是收集大n，多波面板数据，以解决长期以来关于党派依恋的个人层面动态的争议。尽管这些争议对于理解新旧民主国家中政党支持的本质具有重要的理论意义，但由于缺乏足够大的多波小组，关于党派依恋的适当测量的争议，以及缺乏合适的统计工具来分析党派关系的名义尺度测量的潜在动态，它们的解决受到阻碍。这样的工具现在是可用的，研究收集了必要的大N面板数据，需要分析个人层面的潜在变量动态的党派依恋测量使用传统的英国选举研究（BES）政党识别问题序列和替代政党支持者电池。进行这项研究所需的总体时间序列和个人层面的面板数据是在连续48个月的英国选民调查中收集的。调查是由英国首屈一指的互联网调查公司YouGov进行的。每月对全国1 000名18岁或18岁以上的人进行抽样调查，总共有48 000个病例。多波国家小组，包括四波小组，大约有5000个案例将嵌入调查中。大尺寸的横断面和面板调查促进了理论上有趣的亚组分析。汇总时间序列分析将由首席研究员和同事最近对竞争性分数误差校正模型的规范和测试提供信息。研究中收集的个人和总体数据将每年存入ICPSR数据档案，并可从项目网站下载。该网站还将每月提供时间序列变量演变的“DataCam”更新。项目成果将在主要学术会议上展示，论文和技术报告将可从网站下载。

This research project advances knowledge of the dynamics and determinants of party support in democratic polities. One aspect of the research concerns dynamic relationships between public service delivery and aggregate party support. Acutely aware of the importance of these relationships, governing parties of varying ideological hues have made repeated attempts not only to bolster the supply of public services, but also to curb the electorate's demand for them. The latter efforts have met with relatively little success. Many voters remain convinced that government can, and should, be heavily involved in fields such as education, health, welfare, and transportation, that privatization schemes often go awry, and that government is responsible when public services go badly or are not delivered at all. To date, however, research on factors affecting the aggregate dynamics of party support has focused heavily, indeed almost exclusively, on the impact of economic conditions and various "one-off" political events. By restricting attention to economic conditions and salient events, existing studies have ignored the consequences of public reactions to government performance in a wide variety of highly salient policy areas such as health care, education, and national security. Building on the results of earlier research on the determinants of party support conducted by the principal investigator and colleagues, the study will specifies and tests rival models of how government performance evaluations in several important policy areas affect the dynamics of aggregate-level support for governing and opposition parties in a major mature democracy, Great Britain. A second aspect of the research concerns modeling the individual-level dynamics of party support. Here, the principal focus is gathering the large-N, multi-wave panel data needed to address longstanding controversies regarding the individual-level dynamics of partisan attachments. Although these controversies have major theoretical implications for understanding the nature of party support in democracies new and old alike, their resolution has been hindered by the lack of sufficiently large multi-wave panels, disputes regarding the proper measurement of partisan attachments, and the absence of suitable statistical tools for analyzing the latent-level dynamics of nominal-scale measures of partisanship. Such tools are now available, and the research gathers the requisite large N panel data needed to analyze individual-level latent variable dynamics of partisan attachments measured using both the traditional British Election Study (BES) party identification question sequence and an alternative party supporter battery. The aggregate-level time series and individual-level panel data needed to conduct the research are gathered in 48 consecutive monthly surveys of the British electorate. Surveys are be conducted by YouGov, Britain's premier internet survey firm. Each monthly survey is conducted with a national sample of 1,000 persons 18 years of age or older, yielding a total N of 48,000 cases. Multi-wave national panels, including a four-wave panel with an N of approximately 5,000 cases will be embedded in the surveys. The large size of the cross-sectional and panel surveys facilitate theoretically interesting sub-group analyses. Aggregate time series analyses will be informed by recent work by the principal investigator and colleagues on the specification and testing of rival fractional error correction models. Individual- and aggregate-level data gathered in the study will be deposited annually with the ICPSR Data Archive, and also will be available for downloading from the project website. The website also will provide monthly "DataCam" updates of the evolution of time series variables. Project findings will be presented at major scholarly conferences, and papers and technical reports will be available for downloading from the website.