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The Creation of LIFE-M: The Longitudinal, Intergenerational Family Electronic Micro-Database Project.

Martha Bailey1,2, Peter Z Lin1, A R Shariq Mohammed3

  • 1University of California, Los Angeles.

Historical Methods
|February 5, 2024
PubMed
Summary

Researchers created the Longitudinal, Intergenerational Family Electronic Micro-Database (LIFE-M) by linking U.S. vital records and census data. This resource offers insights into family health and economic changes across generations.

Keywords:
historical record linkagesupervised machine-learning linkingvital records

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Area of Science:

  • Demography
  • Economic History
  • Public Health

Background:

  • Historical demographic research often faces challenges in tracking individuals and families across time due to fragmented data.
  • Linking vital records and census data is crucial for understanding long-term health and socioeconomic trends.
  • The Longitudinal, Intergenerational Family Electronic Micro-Database (LIFE-M) addresses these limitations by integrating diverse historical datasets.

Purpose of the Study:

  • To introduce the creation and methodology of the LIFE-M database.
  • To demonstrate the utility of linked vital records and census data for life-course and intergenerational analysis.
  • To provide a robust dataset for studying the evolution of health and economic outcomes in the United States.

Main Methods:

  • Integration of U.S. vital records (birth, marriage, death) with decennial census data from the late 19th and 20th centuries.
  • Development and application of supervised machine-learning algorithms for accurate longitudinal and intergenerational record linkage.
  • Utilizing maiden and married names from vital records to facilitate the linkage of women across different life stages.

Main Results:

  • Successful creation of a large-scale database linking millions of individuals and families.
  • High linking rates achieved through advanced machine-learning techniques.
  • Assessment of the representativeness and weighting of the final linked sample.

Conclusions:

  • The LIFE-M database represents a significant advancement in historical family and population research.
  • This resource enables novel research on the intergenerational transmission of health and economic status.
  • LIFE-M provides a foundation for future studies on demographic dynamics and societal changes in the U.S.