Full Citation
Title: Working Papers A Holistic Approach to Validating Current Population Survey Panel Data A Holistic Approach to Validating Current Population Survey Panel Data
Citation Type: Journal Article
Publication Year: 2023
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DOI: 10.18128/IPUMS2023-01
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Abstract: The Current Population Survey (CPS) is the primary source of labor force data in the United States; the panel component of the CPS provides an excellent opportunity for studying short-run change in areas such as labor force participation and poverty. The Census Bureau's recommended procedures for linking CPS data occasionally yield a collection of matched observations that appears-based on demographic information-to represent different people rather than a single person across CPS files. We describe our methodology for assigning a unique identifier to records that share Census Bureau identifiers and have demographic characteristics that are consistent across observations. The identifier eliminates a currently-recommended step when working with linked CPS data-checking to ensure that records with a shared identifier look like the same individual based on age, sex, and race-and provides researchers a common starting point for analyzing validated CPS panel data. This identifier extends previous efforts at IPUMS CPS to create unique identifiers for leveraging the panel aspect of the CPS and are available from IPUMS CPS.
Url: https://doi.org/10.18128/IPUMS2023-01
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Authors: Rodgers, Renae; Flood, Sarah M; Flood, Sarah
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