Evidence map›Paper›PMID 38053105›Full record

ArticleBMC public health2023

Revisiting the effects of state earned income tax credits on infant health: a quasi-experimental study using contiguous border counties approach.

Haobing Qian, George L Wehby

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

2 authors at 2 institutions in 1 country.

Haobing QianDepartment of Family and Community Medicine, University of California, San Francisco, USA. haobing.qian@ucsf.edu.
George L WehbyDepartment of Health Management and Policy, University of Iowa, Iowa City, IA, USA.
Iowa Policy Project · USUniversity of Iowa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo examine the effects of refundable state earned income tax credits (EITC) on infant health.

methodsWe use the restricted-access U.S. birth certificate data with county codes from 1989 to 2018. Birth outcomes include birth weight, low birth weight, gestational weeks, preterm birth, and the fetal growth rate. The analytical sample includes single mothers with high school education or less. Two specifications of two-way fixed effects models are employed. The first specification accounts for shared time trends across all states/counties. The second specification estimates effects based on EITC changes within contiguous counties across state borders which accounts for contemporaneous events specific to each contiguous county pair. Models are estimated pooling and stratifying by parity subgroups.

resultsUnder the first specification, refundable state EITC is associated with improved birth outcomes. Pooling all parity, a 10%-point increase in refundable EITC is associated with an 8-gram increase in birth weight (95% CI: 2.9,14.6). The effect increases by parity. In contrast, the estimates from the second model are much smaller and statistically non-significant, both pooling and stratifying by parity.

conclusionsComparing contiguous counties across state borders, there is no evidence that refundable state EITC affects birth outcomes. However, the estimates still do not rule out moderate to large benefits for third or higher born infants.

Indexed as

Income TaxPremature BirthBirth WeightFemaleHumansIncomeInfantInfant HealthInfant, NewbornPregnancyDifference-in-difference (DID)Earned income tax creditIncome inequalitiesMaternal and infant healthThe earned income tax credits (EITC)

Identifiers

PMID38053105
PMCPMC10698941
OpenAlexW4389348528

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.