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Forecasting statewide entitlement caseloads: Analysis of institutional change.

机译:预测州范围内的权利案例数量:制度变迁分析。

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摘要

In the state budget process, lawmakers and budget writers rely on the accuracy of revenue and expenditure forecasts. The expenditure forecasting process is driven by caseload projections of the demand for services such as Medicaid, foster care, long-term care for the elderly and disabled, and public education. This research analyzes the development of the caseload forecasting process in Washington State. In 1997 the Caseload Forecast Council (CFC) was created by the legislature as an independent agency responsible for the production of statewide caseload forecasts.; This study examines the role of the CFC as a driver of institutional change and its impact on forecast processes and outcomes. This study has a quantitative and qualitative component. The quantitative analysis addresses a series of hypotheses on the institutional determinants of forecast accuracy and bias: creation of the CFC led to improved forecast accuracy and reduced forecast bias, improvements in accuracy occurred gradually over time, and forecast accuracy was improved by factors such as more frequent revisions, the technical workgroup, and program knowledge. This research found that forecast accuracy did gradually improve over time after the CFC was created, and that more frequent revisions, the technical workgroup, and program knowledge all contributed to improved forecast accuracy. The qualitative portion investigates the technical workgroup process in more detail via comparison of the different dynamics across workgroups. This analysis did not find any relationship between variations in the workgroup dynamics and forecast accuracy, but it did conclude that variations in workgroup dynamics such as group trust in the forecaster, consensus-building, and expertise of members can affect the legitimacy of the forecast process and product.
机译:在国家预算过程中,立法者和预算制定者依赖于收支预测的准确性。支出预测过程是由对医疗补助,寄养,老人和残疾人的长期照护以及公共教育等服务需求的个案预测来驱动的。这项研究分析了华盛顿州案件量预测过程的发展。立法机关于1997年成立了案件量预测委员会(CFC),作为负责制作全州案件量预测的独立机构。这项研究考察了CFC作为制度变革驱动力的作用及其对预测过程和结果的影响。这项研究具有定量和定性的组成部分。定量分析提出了一系列有关预测准确性和偏差的制度决定因素的假设:建立CFC可以提高预测准确性和减少预测偏差,随着时间的推移,准确性逐渐提高,并且诸如频繁的修订,技术工作组和程序知识。这项研究发现,创建CFC后,随着时间的推移,预测准确性确实逐渐提高,并且更频繁的修订,技术工作组和计划知识都有助于提高预测准确性。定性部分通过比较各个工作组之间的不同动态来更详细地研究技术工作组过程。该分析未发现工作组动态的变化与预测准确性之间的任何关系,但得出结论,工作组动态的变化,例如对预测者的团队信任,共识建立和成员的专业知识,可能会影响预测过程的合法性。和产品。

著录项

  • 作者

    Deschamps, Elaine Ammie.;

  • 作者单位

    Indiana University.;

  • 授予单位 Indiana University.;
  • 学科 Political Science Public Administration.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 政治理论;
  • 关键词

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