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] |
| Copyright of Historical Methods is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 174522010 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The creation of LIFE-M: The Longitudinal, Intergenerational Family Electronic Micro-Database project. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bailey%2C+Martha%22">Bailey, Martha</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> marthabailey@ucla.edu</i><br /><searchLink fieldCode="AR" term="%22Lin%2C+Peter+Z%2E%22">Lin, Peter Z.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mohammed%2C+A%2E+R%2E+Shariq%22">Mohammed, A. R. Shariq</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mohnen%2C+Paul%22">Mohnen, Paul</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Murray%2C+Jared%22">Murray, Jared</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Mengying%22">Zhang, Mengying</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Prettyman%2C+Alexa%22">Prettyman, Alexa</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Historical+Methods%22">Historical Methods</searchLink>. Jul-Sep2023, Vol. 56 Issue 3, p138-159. 22p. 1 Diagram, 7 Charts, 5 Graphs. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Census%22">Census</searchLink><br />*<searchLink fieldCode="DE" term="%22Families%22">Families</searchLink><br /><searchLink fieldCode="DE" term="%22Personal+names%22">Personal names</searchLink><br /><searchLink fieldCode="DE" term="%22Vital+records+%28Births%2C+deaths%2C+etc%2E%29%22">Vital records (Births, deaths, etc.)</searchLink><br /><searchLink fieldCode="DE" term="%22Nineteenth+century%22">Nineteenth century</searchLink><br /><searchLink fieldCode="DE" term="%22Hyperlinks%22">Hyperlinks</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Historical Methods is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=174522010 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/01615440.2023.2239699 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 138 Subjects: – SubjectFull: Machine learning Type: general – SubjectFull: Census Type: general – SubjectFull: Families Type: general – SubjectFull: Personal names Type: general – SubjectFull: Vital records (Births, deaths, etc.) Type: general – SubjectFull: Nineteenth century Type: general – SubjectFull: Hyperlinks Type: general – SubjectFull: United States Type: general Titles: – TitleFull: The creation of LIFE-M: The Longitudinal, Intergenerational Family Electronic Micro-Database project. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bailey, Martha – PersonEntity: Name: NameFull: Lin, Peter Z. – PersonEntity: Name: NameFull: Mohammed, A. R. Shariq – PersonEntity: Name: NameFull: Mohnen, Paul – PersonEntity: Name: NameFull: Murray, Jared – PersonEntity: Name: NameFull: Zhang, Mengying – PersonEntity: Name: NameFull: Prettyman, Alexa IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul-Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 01615440 Numbering: – Type: volume Value: 56 – Type: issue Value: 3 Titles: – TitleFull: Historical Methods Type: main |
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