Linking the 1940 U.S. Census with Modern Data.

IF 1.6 2区 历史学 Q1 HISTORY
Historical Methods Pub Date : 2018-01-01 Epub Date: 2018-12-20 DOI:10.1080/01615440.2018.1507772
Catherine G Massey, Katie R Genadek, J Trent Alexander, Todd K Gardner, Amy O'Hara
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引用次数: 0

Abstract

The U.S. Census Bureau has created a set of linkable census, survey, and administrative records that provides longitudinal data on the American population across the past eight decades. While these files include modern decennial censuses, Census Bureau surveys, and administrative records files from other federal agencies, the long time span is only possible with the addition of the complete count 1940 Census microdata. In this paper, we discuss the development of this linked data infrastructure and provide an overview of the record linkage techniques used. We primarily focus on the techniques used to produce a beta version of a linkable 1940 Census microdata file and discuss the potential to further document and extend the infrastructure.

Abstract Image

Abstract Image

Abstract Image

将1940年美国人口普查与现代数据联系起来。
美国人口普查局创建了一套可链接的人口普查、调查和行政记录,提供了过去80年美国人口的纵向数据。虽然这些文件包括现代十年一次的人口普查、人口普查局的调查和其他联邦机构的行政记录文件,但只有添加完整的1940年人口普查微观数据,才能实现长时间跨度。在本文中,我们讨论了这种链接数据基础设施的开发,并概述了所使用的记录链接技术。我们主要关注用于生成1940年可链接人口普查微观数据文件测试版的技术,并讨论进一步记录和扩展基础设施的潜力。
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来源期刊
Historical Methods
Historical Methods Multiple-
CiteScore
3.20
自引率
7.10%
发文量
13
期刊介绍: Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.
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