Evidence map›Paper›PMID 35846520›Full record

ArticleHistorical methods2022

A New Strategy for Linking U.S. Historical Censuses: A Case Study for the IPUMS Multigenerational Longitudinal Panel.

Jonas Helgertz, Joseph Price, Jacob Wellington, Kelly J Thompson, Steven Ruggles, Catherine A Fitch

Abstract read
In one paragraph

Article in Historical methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Multigenerational and gender-symmetric transmission of migration behaviors in historical Quebec.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  2. Identifying Matrilineal Kin Networks in the United States 1900-1940.The history of the family : an international quarterly · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jonas HelgertzInstitute for Social Research and Data Innovation and Minnesota Population Center, University of Minnesota.ORCID 0000-0002-2200-9095
Joseph PriceDepartment of Economics, Brigham Young University.
Jacob WellingtonInstitute for Social Research and Data Innovation and Minnesota Population Center, University of Minnesota.
Kelly J ThompsonInstitute for Social Research and Data Innovation and Minnesota Population Center, University of Minnesota.
Steven RugglesInstitute for Social Research and Data Innovation and Minnesota Population Center, University of Minnesota.
Catherine A FitchInstitute for Social Research and Data Innovation and Minnesota Population Center, University of Minnesota.

Funding

Microdata for Population Dynamics and Health ResearchR01HD043392 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Sarah M Flood, Steve Ruggles · 2002 to 2026
$14.8M
Multigenerational Longitudinal Panel for Research on AgingR01AG057679 · NIA · UNIVERSITY OF MINNESOTA · PI Julia AR Drew, Steve Ruggles · 2018 to 2026
$10.0M
Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
Spatial Analysis CoreR24HD041023 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI RUGGLES, STEVE · 2001 to 2016
$4.1M
NIA NIH HHS R01 AG057679NICHD NIH HHS P2C HD041023NICHD NIH HHS R24 HD041023
6 · The paper itself

Abstract

This paper presents a probabilistic method of record linkage, developed using the U.S. full count censuses of 1900 and 1910 but applicable to many sources of digitized historical records. The method links records using a two-step approach, first establishing high confidence matches among men by exploiting a comprehensive set of individual and contextual characteristics. The method then proceeds to link both men and women by leveraging links between households established in the first step. While only the first stage links can be directly comparable to other popular methods in research on the U.S., our method yields both considerably higher linkage rates and greater accuracy while only performing negligibly worse than other algorithms in resembling the target population.

Indexed as

Census dataMachine learningRecord linkageUnited States of America

Identifiers

PMID35846520
PMCPMC9281997

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.