Evidence map›Paper›PMID 39220677›Full record

ArticlePopulation and development review2024

Fertility in a Pandemic: Evidence from California.

Jenna Nobles, Alison Gemmill, Sungsik Hwang, Florencia Torche

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. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

Jenna NoblesUniversity of Wisconsin-Madison.ORCID 0000-0001-5175-4265
Alison GemmillJohns Hopkins University.
Sungsik HwangUniversity of Wisconsin-Madison.
Florencia TorcheStanford University.

Funding

Center for Demography and EcologyR24HD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI RAYMO, JAMES M · 2004 to 2013
$7.2M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
The Hopkins Population CenterP2CHD042854 · NICHD · JOHNS HOPKINS UNIVERSITY · PI FEINIAN CHEN · 2021 to 2026
$3.0M
IMPACT OF COVID-19 EXPOSURE ON U.S. BIRTH OUTCOMESR21HD105361 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI NOBLES, JENNA E., TORCHE, FLORENCIA · 2021 to 2022
$434k
NICHD NIH HHS P2C HD042854NICHD NIH HHS P2C HD047873NICHD NIH HHS R21 HD105361NICHD NIH HHS R24 HD047873
6 · The paper itself

Abstract

The COVID-19 pandemic was accompanied by social and economic changes previously associated with fertility delay and reduction, sparking widespread discussion of a "baby bust" in the U.S. We examine fertility trends using restricted vital statistics data from California, a diverse population of 40 million contributing 12% of U.S. births. Using time series models that account for longer-run fertility trends, we observe modest, short-term reductions in births from mid 2020 through early 2021. Birth counts in subsequent months matched or even eased the pace of fertility decline since the 2008 recession and are unlikely a function of the pandemic alone. Responses to the pandemic were heterogeneous. Fertility declined markedly among the foreign-born population, largely driven by changes in net migration. Among the U.S.-born population, the short-term pandemic-attributable reductions were largest among older, highly educated people, suggesting mechanisms of fertility reduction disparately accessible to those with the most resources. We find no evidence of a strong population fertility response to the pandemic's accompanying employment shock, providing additional evidence of a growing divide between macroeconomic conditions and fertility patterns in the U.S.

Identifiers

PMID39220677
PMCPMC11364355

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.