A Distance Metric for Modeling the Quality of Administrative Records for Use in the 2020 U.S. Census

Author:

Keller Andrew1,Mule Vincent T.1,Morris Darcy Steeg1,Konicki Scott1

Affiliation:

1. U.S. Census Bureau, Washington, DC 20233 , U.S.A.

Abstract

Abstract The U.S. Census Bureau is conducting research on using administrative records to reduce the cost while maintaining the quality of the 2020 Census Nonresponse Followup (NRFU). Previous census tests have implemented approaches that use predictive models and optimization procedures to identify vacant and occupied housing units using administrative records. This article details a modification to previous approaches, introducing a simple distance metric to define a quality ranking of housing units to enumerate using administrative records. The distance approach is illustrated, assessed, and compared to a previous approach via a retrospective study of the 2010 U.S. Census.

Publisher

Walter de Gruyter GmbH

Reference41 articles.

1. Alvey, W. and F. Scheuren. 1982. “Background for an Administrative Record Census.” in JSM Proceedings, Social Statistics Section, American Statistical Association, Cincinnati, OH, August 16–19, 1982. Washington, DC: American Statistical Association. 137–152.

2. Bakker, B.F.M., P.G.M. van Heijden, and S. Scholtus. 2015. “ “Preface” to a Special Issue on Coverage Problems in Administrative Sources.” Journal of Official Statistics 31(3): 349–355. Doi: http://dx.doi.org/10.1515/jos-2015-0021.10.1515/jos-2015-0021

3. Brackstone, G.J. 1987. “Issues in the Use of Administrative Records for Statistical Purposes.” Survey Methodology 13(1): 29–43. Available at: http://www.statcan.gc.ca/pub/12-001-x/1987001/article/14467-eng.pdf (accessed November 2017).

4. Chapin, M. and A. Keller. 2017. “Administrative Records Research and Planning, 2018 End-to-End Census Test: Nonresponse Followup.” from 2020 Census Program Management Review–April 21, 2017. Available at: https://www2.census.gov/programs-surveys/decennial/2020/program-management/pmr-materials/04-21-2017/pmr-update-testing-2017-04-21.pdf (accessed November 2017).

5. Chesnut, J. 2013. “Model-Based Mode Switching from Internet to Mail in the American Community Survey.” DSSD 2013 American Community Survey Memorandum Series #ACS13-MP-01. Available at: https://census.gov/content/dam/Census/library/working-papers/2013/acs/2013_Chesnut_01.pdf (accessed November 2017).

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3