Evidence map›Paper›PMID 38264507›Full record

ArticlePopulation research and policy review2023

Research Note on Linking CPS ASEC Files.

José Daniel Pacas, Renae Rodgers

Abstract read
In one paragraph

Article in Population research and policy review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

José Daniel PacasKids First Chicago, Chicago, USA.ORCID 0000-0003-2367-8546
Renae RodgersInstitute for Social Research and Data Innovation, University of Minnesota, Minneapolis, USA.

Funding

Integrating, Preserving, and Disseminating Linked CPS DataR01HD067258 · NICHD · UNIVERSITY OF MINNESOTA · PI Julia AR Drew, Sarah M Flood · 2011 to 2026
$10.0M
Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
NICHD NIH HHS P2C HD041023NICHD NIH HHS R01 HD067258
6 · The paper itself

Abstract

Measuring change over time in areas such as family structure, employment, income, and poverty is of great interest to social scientists. The panel component of the Current Population Survey (CPS) affords the opportunity to observe short-term change in these areas. The Annual Social and Economic supplement (ASEC), with its wealth of information on income, health insurance coverage, benefits receipt, and many other topics, is a particularly popular resource for this purpose. However, commonly used methods for linking CPS ASEC files do not address how to link the ASEC oversample records across years, leading to smaller linked sample sizes. We demonstrate how to recover the linkable oversample cases in the 2005-2020 ASEC, resulting in about 150,000 more linked records (between 13,000 and 19,000 yearly) which represents a 30% increase in the overall linked sample size.

Indexed as

Current population surveyMeasurement

Identifiers

PMID38264507
PMCPMC10805443

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.