Evidence map›Paper›PMID 41268125›Full record

ArticleHistorical methods2025

The IPUMS Multigenerational Longitudinal Panel: Progress and Prospects.

Steven Ruggles, Julia A Drew, Catherine A Fitch, J David Hacker, Jonas Helgertz, Matt A Nelson, Nesile Ozder, Matthew Sobek, John Robert Warren

Abstract read
In one paragraph

Article in Historical methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Steven RugglesUniversity of Minnesota, Department of History.ORCID 0000-0001-5353-2578
Julia A DrewUniversity of Minnesota, Institute for Social Research and Data Innovation.
Catherine A FitchUniversity of Minnesota, Institute for Social Research and Data Innovation.
J David HackerUniversity of Minnesota, Department of History and Minnesota Population Center.ORCID 0000-0002-5971-955X
Jonas HelgertzLund University, Department of Economic History and Centre for Economic Demography.ORCID 0000-0002-2200-9095
Matt A NelsonUniversity of Minnesota, Institute for Social Research and Data Innovation.ORCID 0000-0002-8849-4628
Nesile OzderUniversity of Minnesota, Institute for Social Research and Data Innovation.
Matthew SobekUniversity of Minnesota, Institute for Social Research and Data Innovation.
John Robert WarrenUniversity of Minnesota, Department of Sociology.ORCID 0000-0001-6079-5122

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
Prospective Microdata for Research on AgingR01AG075334 · NIA · UNIVERSITY OF MINNESOTA · PI CATHERINE A FITCH, Steve Ruggles · 2022 to 2026
$4.8M
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 AG057679NIA NIH HHS R01 AG075334NICHD NIH HHS P2C HD041023NICHD NIH HHS R01 HD043392NICHD NIH HHS R24 HD041023
6 · The paper itself

Abstract

The IPUMS Multigenerational Longitudinal Panel (MLP) is a longitudinal population panel that links American censuses, surveys, administrative sources, and vital records spanning the period from 1850 to the present. This article explains the rationale for IPUMS MLP, outlines the design of the infrastructure, and describes the linking methods used to construct the panel. We then detail our plans for expansion and improvement of MLP over the next five years, including the incorporation of additional data sources, the development of a "linkage hub" to connect MLP with other major record linkage efforts, and the refinement of our technology and dissemination efforts. We conclude by describing a few early examples of MLP-based research.

Indexed as

CensusIPUMSlongitudinal dataRecord Linkage

Identifiers

PMID41268125
PMCPMC12629626

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.