NCRN-MN: Linking Surveys to the World: Administrative Data, the Web, and Beyond

该项目将进行研究，以满足人口普查局和其他联邦统计机构的具体分析和业务要求，以改进其估计数，同时减少费用和答复负担。该项目将使用行政数据，更广泛地说，使用家庭和企业在其正常活动过程中产生的数据，以产生目前依赖调查的经济和人口统计数据。该项目将开发和评估使用现代社会普通活动产生的大量数据并保护个人和企业隐私的方法。该项目将检查企业、个人和政府创建的行政记录、万维网上社交媒体网站的数据流以及详细的地理空间数据。该项目将分析这些多个数据来源，并将它们与通过调查收集的数据联系起来。它旨在改进对经济和人口数据的调查测量，并可能用基于行政、基于网络和地理空间数据的统计来补充或取代调查。这些方法的应用包括：使用关联的调查-行政数据来评估调查中的自然减员、选择性无反应和测量误差；使用基于网络的社交媒体来衡量失业、就业创造、小企业创造和非正式经济活动；使用行政地理空间数据来增强小区域估计；以及关于使用和创建关联的调查-行政数据集的培训。联邦统计机构迫切需要根据经济结构的快速变化以及这些变化与家庭和企业生产和使用信息的基本方式的相互作用而进行创新。该项目将结合社会科学、调查研究和信息科学的专门知识，解决统计系统必须面对的科学和实际问题。该项目将推动计量科学的发展，并有助于更新统计系统，为统计机构面临的计量问题提供前沿方法论，并培养统计机构和学术界的新一代学者，他们将协作解决这些问题。这项活动得到了NSF-人口普查研究网络资助机会的支持。

This project will undertake research that responds to the specific analytic and operational requirements of the Census Bureau and other federal statistical agencies to improve their estimates while reducing costs and respondent burden. The project will use administrative data, and more generally, data generated by households and businesses in the course of their normal activities to produce economic and demographic measurements that currently rely on surveys. The project will develop and evaluate methodologies that use the vast constellation of data generated by ordinary activity in a modern society and that protect the privacy of individuals and businesses. The project will examine administrative records created by businesses, individuals, and governments, streams of data from social media sites on the World Wide Web, and detailed geospatial data. The project will analyze these multiple source of data and relate them to data collected on surveys. It aims to improve survey measurements of economic and demographic data and potentially supplement or replace surveys with statistics based on administrative, Web-based, and geospatial data. Applications of these approaches include the following: using linked survey-administrative data to assess attrition, selective non-response, and measurement error in surveys; using Web-based social media to measure job loss, job creation, small business creation, and informal economic activity; using administrative geo-spatial data to enhance small-area estimates; and training in the use and creation of linked survey-administrative datasets.The Federal statistical agencies have pressing needs to innovate in light of the rapidly changing structure of the economy and the interaction of these changes with the fundamental ways in which households and businesses produce and use information. This project will combine expertise in social science, survey research, and information science to address the scientific and practical problems that the statistical system must confront. The project will advance the science of measurement and serve to renew the statistical system both by bringing frontier methodology to measurement problems faced by the statistical agencies and by nurturing a new generation of scholars, both within the statistical agencies and academia, who will collaboratively address these issues. This activity is supported by the NSF-Census Research Network funding opportunity.