Evaluating the potential for multi-generational longitudinal research using U.S. Census data from 1850-2020

Multiple recent linkage efforts have produced longitudinal individual-level data from the censuses of 1850-1940. In addition, within the Census Bureau’s restricted data program, respondents can be linked anonymously between the censuses of 1940, 2000, 2010, and 2020. Researchers are already using parts of these infrastructures together to conduct long-term inter-generational studies. In this paper we describe the various options for accessing, linking, and conducting research that uses both the historical and modern linked data as a centuries-long panel. We assess the sample sizes, representativeness, and cohort coverage of multigenerational panels created with existing linked census resources over the 1850-2020 period.

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Publication Details

Journal
International Journal for Population Data Science
Published
2024-09-10
DOI
https://doi.org/10.23889/ijpds.v9i5.2843
Primary Topic
Health disparities and outcomes
Type
article
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article

Evaluating the potential for multi-generational longitudinal research using U.S. Census data from 1850-2020

Trent Alexander, Katie R. Genadek
International Journal for Population Data Science
Health disparities and outcomes
article

Evaluating the potential for multi-generational longitudinal research using U.S. Census data from 1850-2020

Trent Alexander, Katie R. Genadek
article en

Abstract

Multiple recent linkage efforts have produced longitudinal individual-level data from the censuses of 1850-1940. In addition, within the Census Bureau’s restricted data program, respondents can be linked anonymously between the censuses of 1940, 2000, 2010, and 2020. Researchers are already using parts of these infrastructures together to conduct long-term inter-generational studies. In this paper we describe the various options for accessing, linking, and conducting research that uses both the historical and modern linked data as a centuries-long panel. We assess the sample sizes, representativeness, and cohort coverage of multigenerational panels created with existing linked census resources over the 1850-2020 period.

International Journal for Population Data ScienceVol. 9(5)
United States Census Bureau (US), University of Michigan (US)
Openalex Percentile: Top 81%
Health disparities and outcomes
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