Making Full Use of the Longitudinal Design of the Current Population Survey: Methods for Linking Records Across 16 Months.

Q3 Social Sciences

Journal of Economic and Social Measurement Pub Date : 2014-01-01 DOI:10.3233/JEM-140388

Julia A Rivera Drew, Sarah Flood, John Robert Warren

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引用次数: 104

Abstract

Data from the Current Population Survey (CPS) are rarely analyzed in a way that takes advantage of the CPS's longitudinal design. This is mainly because of the technical difficulties associated with linking CPS files across months. In this paper, we describe the method we are using to create unique identifiers for all CPS person and household records from 1989 onward. These identifiers-available along with CPS basic and supplemental data as part of the on-line Integrated Public Use Microdata Series (IPUMS)-make it dramatically easier to use CPS data for longitudinal research across any number of substantive domains. To facilitate the use of these new longitudinal IPUMS-CPS data, we also outline seven different ways that researchers may choose to link CPS person records across months, and we describe the sample sizes and sample retention rates associated with these seven designs. Finally, we discuss a number of unique methodological challenges that researchers will confront when analyzing data from linked CPS files.

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充分利用现行人口调查的纵向设计:跨16个月的记录衔接方法。

当前人口调查(CPS)的数据很少以一种利用CPS纵向设计的方式进行分析。这主要是因为与跨月链接CPS文件相关的技术困难。在本文中，我们描述了自1989年以来我们用于为所有CPS个人和家庭记录创建唯一标识符的方法。这些标识符与CPS基本数据和补充数据一起作为在线综合公共使用微数据系列(IPUMS)的一部分提供，使使用CPS数据进行任何实质性领域的纵向研究变得非常容易。为了便于使用这些新的纵向IPUMS-CPS数据，我们还概述了研究人员可以选择的7种不同的方法来连接不同月份的CPS人员记录，并描述了与这7种设计相关的样本量和样本保留率。最后，我们讨论了研究人员在分析链接CPS文件的数据时将面临的一些独特的方法挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Economic and Social Measurement Social Sciences-Social Sciences (all)

CiteScore

1.60

自引率

0.00%

发文量

期刊介绍： The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.