Evidence map›Paper›PMID 40857447›Full record

ArticleThe International migration review2025

Cross-Era Gender Differences in Educational Attainment Among Second-Generation Immigrants.

Jennifer Van Hook, Kendal Lowrey

Abstract read
In one paragraph

Article in The International migration review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jennifer Van HookThe Pennsylvania State University.
Kendal LowreyThe Pennsylvania State University.

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Brian Thiede · 2016 to 2026
$9.0M
NICHD NIH HHS P2C HD041025
6 · The paper itself

Abstract

Starting in the 1990s, the United States experienced a gender revolution in education whereby later-born cohorts of women surpassed men in rates of higher education completion. However, little research has explored how gender differences in education for second generation immigrants compare to the children of U.S.-born Whites over historical and contemporary time periods. Immigrants arrive with varying levels of socioeconomic status and may come from countries with paternalistic ideologies that reinforce traditional gender norms. However, immigrants also experience assimilation over time and may begin to mirror the U.S.-born in their educational outcomes by the second generation. While national trends show that women have surpassed men in years of education, we question whether immigrants will experience similar trends, or whether their outcomes will vary by national origin. We analyze newly obtainable linked census data collected from 1940 to the present, a timeline where linked data were previously unavailable, to test these ideas. These data offer insight into gendered trends in education by family background and socioeconomic status using a broader timeline than studies before. We find that while there is variation in the degree to which gender differences in education occur by ethnic origin, overall trends for immigrants are similar to those for U.S.-born Whites regardless of socioeconomic status in childhood. In the Industrial Era, men generally attained more years of schooling than women. However, there is greater gender equality and often a female advantage occurring for most groups in the post-Industrial Era. Educational trends for Blacks are an anomaly, whereby women have attained more years of schooling than men in both Eras.

Identifiers

PMID40857447
PMCPMC12337804

What OpenQuestion holds

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Registered trials

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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.