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NCRN-SN: Census Bureau Data Programs as Statistical Decision Problems

NCRN-SN：人口普查局数据程序作为统计决策问题

基本信息

批准号：
1129475
负责人：
Bruce Spencer
金额：
$ 119.74万
依托单位：
Northwestern University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2011
资助国家：
美国
起止时间：
2011-10-01 至 2017-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1129475&HistoricalAwards=false
关键词：
NCRN SN Census Bureau Data

项目摘要

How the government should invest in statistical data, and in research more generally, is a fundamental and unsolved question. This problem is increasingly significant as uses of statistical data grow and resources for investment are constrained. The project will address fundamental problems for government statistical agencies, such as how to understand the value of the statistics they produce, how to compare value to cost in order to guide rational setting of statistical priorities, and how to increase value for given cost. To understand the value of statistical data, it is necessary to understand how the statistics are used, and what would occur if the statistics were available with different data quality characteristics, ranging from high accuracy to no data collection at all. The researchers will extend and apply statistical decision theory, including cost-benefit analysis, to attack such basic questions. One objective is to develop new theory so that effective case studies for use of data for policy making and for research in the social, behavioral, and economic sciences can be developed, analyzed, and interpreted. A second objective is to apply basic research findings to problems of the U.S. Census Bureau. Activities include (a) the development of guidelines for studying data use and cost-benefit analysis of data for allocations; (b) methods for trading off cost, sample size, and response rates; and (c) state of the art methods for studying more complex uses, including developing a sampling frame for data uses, and designs for new case studies of data use and cost-benefit analysis. A third objective is to advance and stimulate academic education and training related to problems of government statistical agencies.The project findings will be useful for the Census Bureau and across the federal statistical system. Federal statistical agencies and other agencies, such as OMB, will be better able to understand and quantify the value of statistical data programs and of changes to their data quality, leading to better-informed decisions regarding investment in government statistical activities. Tangible products will be developed and disseminated for researchers, both within academia and public and private statistical agencies, for their use in designing and evaluating statistical data programs. By enhancing the pipeline of well-trained graduate students and postdoctoral fellows in this area, the project also will have a beneficial impact on statistical education. This activity is supported by the NSF-Census Research Network funding opportunity.

政府应如何投资统计数据以及更广泛的研究，是一个基本且尚未解决的问题。随着统计数据使用的增加和投资资源的限制，这个问题变得越来越重要。该项目将解决政府统计机构的基本问题，例如如何理解其统计数据的价值，如何比较价值与成本以指导合理设置统计优先事项，以及如何在给定成本的情况下增加价值。要了解统计数据的价值，有必要了解如何使用统计数据，以及如果统计数据具有不同的数据质量特征（从高精度到根本不收集数据），会发生什么。研究人员将扩展和应用统计决策理论，包括成本效益分析，来解决这些基本问题。目标之一是发展新理论，以便能够开发、分析和解释使用数据进行政策制定以及社会、行为和经济科学研究的有效案例研究。第二个目标是将基础研究成果应用于美国人口普查局的问题。活动包括 (a) 制定研究数据使用和分配数据成本效益分析的准则； (b) 权衡成本、样本量和答复率的方法； (c) 研究更复杂用途的最先进方法，包括开发数据用途抽样框架，以及数据使用新案例研究和成本效益分析的设计。第三个目标是推进和刺激与政府统计机构问题相关的学术教育和培训。该项目的研究结果将对人口普查局和整个联邦统计系统有用。联邦统计机构和 OMB 等其他机构将能够更好地理解和量化统计数据计划及其数据质量变化的价值，从而就政府统计活动的投资做出更明智的决策。将为学术界以及公共和私人统计机构的研究人员开发和传播有形产品，用于设计和评估统计数据项目。通过加强该领域训练有素的研究生和博士后的输送渠道，该项目还将对统计教育产生有益的影响。这项活动得到了 NSF-人口普查研究网络资助机会的支持。