The creation of LIFE-M: The Longitudinal, Intergenerational Family Electronic Micro-Database project.
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| Title: | The creation of LIFE-M: The Longitudinal, Intergenerational Family Electronic Micro-Database project. |
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| Authors: | Bailey, Martha1,2 (AUTHOR) marthabailey@ucla.edu, Lin, Peter Z.1 (AUTHOR), Mohammed, A. R. Shariq3 (AUTHOR), Mohnen, Paul4 (AUTHOR), Murray, Jared5 (AUTHOR), Zhang, Mengying1 (AUTHOR), Prettyman, Alexa1 (AUTHOR) |
| Source: | Historical Methods. Jul-Sep2023, Vol. 56 Issue 3, p138-159. 22p. 1 Diagram, 7 Charts, 5 Graphs. |
| Subject Terms: | *Machine learning, *Census, *Families, Personal names, Vital records (Births, deaths, etc.), Nineteenth century, Hyperlinks |
| Geographic Terms: | United States |
| Abstract: | This paper describes the creation of the Longitudinal, Intergenerational Family Electronic Micro-Database (LIFE-M), a new data resource linking vital records and decennial censuses for millions of individuals and families living in the late 19th and 20th centuries in the United States. This combination of records provides a life-course and intergenerational perspective on the evolution of health and economic outcomes. Vital records also enable the linkage of women, because they contain a crosswalk between women's birth (i.e., "maiden") and married names. We describe (1) the data sources, coverage, and linking sequence; (2) the process and supervised machine-learning methods used to link records longitudinally and across generations; and (3) the resulting linked samples, including linking rates, representativeness, and weights. [ABSTRACT FROM AUTHOR] |
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| Database: | Education Research Complete |
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| Abstract: | This paper describes the creation of the Longitudinal, Intergenerational Family Electronic Micro-Database (LIFE-M), a new data resource linking vital records and decennial censuses for millions of individuals and families living in the late 19th and 20th centuries in the United States. This combination of records provides a life-course and intergenerational perspective on the evolution of health and economic outcomes. Vital records also enable the linkage of women, because they contain a crosswalk between women's birth (i.e., "maiden") and married names. We describe (1) the data sources, coverage, and linking sequence; (2) the process and supervised machine-learning methods used to link records longitudinally and across generations; and (3) the resulting linked samples, including linking rates, representativeness, and weights. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 01615440 |
| DOI: | 10.1080/01615440.2023.2239699 |
