Evidence map›Paper›PMID 39386165›Full record

ArticlePopulation and development review2024

State-Level Immigrant Policies and Ideal Family Size in the United States.

Julia A Behrman, Abigail Weitzman

Abstract read
In one paragraph

Article in Population and development review, 2024. 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.

Julia A BehrmanJulia Behrman is Assistant Professor of Sociology and Faculty Fellow at the Institute for Policy Research at Northwestern University. Abigail Weitzman is Associate Professor of Sociology and Faculty Scholar at the Population Research Center at the University of Texas at Austin.
Abigail WeitzmanJulia Behrman is Assistant Professor of Sociology and Faculty Fellow at the Institute for Policy Research at Northwestern University. Abigail Weitzman is Associate Professor of Sociology and Faculty Scholar at the Population Research Center at the University of Texas at Austin.

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
NICHD NIH HHS P2C HD042849
6 · The paper itself

Abstract

Demographers have long been interested in how fertility ideals vary in response to perceived existential threats. Although migration scholars document the increasingly threatening nature of U.S. immigration policies, little research explores how these policies shape the fertility ideals of those most affected by them. To that end, we exploit spatiotemporal variation in states' evolving immigrant policy contexts to understand the effects of different policies on the ideal family size of Hispanics-a group who is most likely to be stereotyped as undocumented and most likely to live in mixed-status households or communities. Specifically, we combine time-varying information on state-level immigrant policies with georeferenced data from the General Social Survey (GSS). Results suggest that the gap in ideal family size between Hispanic and white respondents is significantly larger in state-years with omnibus policies-which bundle multiple restrictive laws together and thus impose sweeping restrictions- compared to state-years without these policies. On the other hand, sanctuary policies, which aim to curb federal immigration enforcement, and E-verify mandates, which aim to curb the employment of undocumented immigrants, are not associated with significant differences. Our analyses provide new insights into the complex ways in which the evolving U.S. immigrant policy landscape has far-reaching impacts on reproductive and family life.

Indexed as

FertilityIdealsImmigrationPolicy

Identifiers

PMID39386165
PMCPMC11460720

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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.