Evidence map›Paper›PMID 30369709›Full record

ArticleAnnual review of sociology2018

Historical Census Record Linkage.

Steven Ruggles, Catherine Fitch, Evan Roberts

Abstract read
In one paragraph

Article in Annual review of sociology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Long-term Effects of Local Area New Deal Work Relief in Childhood on Late-Life Depression.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  2. Article
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  4. Article
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  6. Article
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  9. Life-Course Transitions in Rural Residence and Old-Age Mortality in Iowa, 1930-2014.The Russell Sage Foundation journal of the social sciences : RSF · 2022
    Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. The History of Quantification in History: TheThe Journal of interdisciplinary history · 2020
    Article
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

3 authors.

Steven RugglesUniversity of Minnesota.
Catherine FitchUniversity of Minnesota.
Evan RobertsUniversity of Minnesota.

Funding

Microdata for Analysis of Early Life Conditions, Health, and PopulationR01AG041831 · NIA · UNIVERSITY OF MINNESOTA · PI FITCH, CATHERINE A, RUGGLES, STEVE · 2012 to 2022
$5.9M
Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
North Atlantic Population ProjectR01HD052110 · NICHD · UNIVERSITY OF MINNESOTA · PI RUGGLES, STEVE · 2006 to 2016
$4.2M
Big Microdata Expansion ProjectR01HD083829 · NICHD · UNIVERSITY OF MINNESOTA · PI FITCH, CATHERINE A, RUGGLES, STEVE · 2015 to 2019
$3.1M
Baseline Socioeconomic Microdata for Population and Health ResearchR01HD073967 · NICHD · UNIVERSITY OF MINNESOTA · PI RUGGLES, STEVE, WARREN, JOHN ROBERT · 2012 to 2016
$3.0M
NIA NIH HHS R01 AG041831NICHD NIH HHS P2C HD041023NICHD NIH HHS R01 HD052110NICHD NIH HHS R01 HD073967NICHD NIH HHS R01 HD083829
6 · The paper itself

Abstract

For the past 80 years, social scientists have been linking historical censuses across time to study economic and geographic mobility. In recent decades, the quantity of historical census record linkage has exploded, owing largely to the advent of new machine-readable data created by genealogical organizations. Investigators are examining economic and geographic mobility across multiple generations, but also engaging many new topics. Several analysts are exploring the effects of early-life socioeconomic conditions, environmental exposures, or natural disasters on family, health and economic outcomes in later life. Other studies exploit natural experiments to gauge the impact of policy interventions such as social welfare programs and educational reforms. The new data sources have led to a proliferation of record linkage methodology, and some widespread approaches inadvertently introduce errors that can lead to false inferences. A new generation of large-scale shared data infrastructure now in preparation will ameliorate weaknesses of current linkage methods.

Identifiers

PMID30369709
PMCPMC6200350

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.