A nationwide investigation of the impact of the tipped worker subminimum wage on infant size for gestational age.

Birth certificates Birth weight Poverty Public policy Salaries and fringe benefits

Journal

Preventive medicine
ISSN: 1096-0260
Titre abrégé: Prev Med
Pays: United States
ID NLM: 0322116

Informations de publication

Date de publication:
08 Feb 2020
Historique:
received: 24 06 2019
revised: 03 02 2020
accepted: 07 02 2020
pubmed: 12 2 2020
medline: 12 2 2020
entrez: 12 2 2020
Statut: aheadofprint

Résumé

Tipped workers, primarily women of reproductive-age, can be paid a "subminimum wage" 71% lower than the federal minimum wage. We estimated the effects of increasing the state-level tipped worker subminimum wage (federally, $2.13 per hour) on infant size for gestational age in the US as infants born small or large are at risk for poor health across the lifecourse. Utilizing unconditional quantile regression and difference-in-differences analysis of data from 2004 to 2016 Vital Statistics Natality Files (N = 41,219,953 mother-infant dyads), linked to state-level wage laws, census, and antipoverty policy data, we estimated the effect of increasing the subminimum wage on birthweight standardized for gestational age (BWz). Smallest and largest infants are defined as those in the 5th and 95th BWz percentiles, respectively. Increases in the subminimum wage affected the BWz distribution. When compared to a static wage of $2.13 for the duration of the study period, wage set to 100% of the federal minimum ($5.15-$7.25) was associated with an increase in BWz of 0.024 (95% CI: 0.004, 0.045) for the smallest infants and a decrease by 0.041 (95% CI: -0.054, -0.029) for the largest infants. Increasing the subminimum wage may be one strategy to promote healthier birthweight in infants.

Identifiants

pubmed: 32045614
pii: S0091-7435(20)30040-2
doi: 10.1016/j.ypmed.2020.106016
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106016

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Sarah B Andrea (SB)

Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA. Electronic address: sbandrea@uw.edu.

Lynne C Messer (LC)

OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA.

Miguel Marino (M)

OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA; Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA.

Julia M Goodman (JM)

OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA.

Janne Boone-Heinonen (J)

OHSU-PSU School of Public Health, Oregon Health & Science University, Portland, OR, USA.

Classifications MeSH