Journal article
Wage theft and life expectancy inequities in the United States: A simulation study
Preventive medicine, Vol.159, p.107068
06/2022
DOI: 10.1016/j.ypmed.2022.107068
PMCID: PMC9246227
PMID: 35469776
Abstract
Wage theft – when employers do not pay workers their legally entitled wages and benefits – costs workers billions of dollars annually. We tested whether preventing wage theft could increase U.S. life expectancy and decrease inequities therein. We obtained nationally representative estimates of the 2001–2014 association between income and expected age at death for 40-year-olds (40 plus life expectancy at age 40) compiled from tax and Social Security Administration records, and estimates of the burden of wage theft from several sources, including estimates regarding minimum-wage violations (not paying workers the minimum wage) developed from Current Population Survey data. After modeling the relationship between income and expected age at death, we simulated the effects of scenarios preventing wage theft on mean expected age at death. We simulated several scenarios, including one using data suggesting minimum-wage violations constituted 38% of all wage theft and caused 58% of affected workers' losses. Among women in the lowest income decile, mean expected age at death was 0.17 years longer in the counterfactual scenario than in the observed data (95% confidence interval [CI]: 0.11–0.22), corresponding to 528,685 (95% CI: 346,018-711,353) years extended in the total 2001–2014 age-40 population. Among men in the lowest decile, the estimates were 0.12 (95% CI: 0.07–0.17) and 380,502 (95% CI: 229,630-531,374). Estimates diminished at higher deciles. Indeed, among women, mean expected age at death in the counterfactual scenario increased 0.16 (95% CI: 0.06–0.27) years more among the lowest decile than among the highest decile; among men, the estimate was 0.12 (95% CI: 0.03–0.21).
•Wage theft by employers costs U.S. workers billions of dollars annually.•We simulated effects of preventing wage theft on life expectancy and inequities therein.•Preventing wage theft associated with increased overall life expectancy.•Greatest beneficial associations among those with lower incomes and women.
Details
- Title: Subtitle
- Wage theft and life expectancy inequities in the United States: A simulation study
- Creators
- Jerzy Eisenberg-Guyot - Columbia UniversityKatherine M Keyes - Columbia UniversitySeth J Prins - Columbia UniversitySarah McKetta - Columbia UniversityStephen J Mooney - University of WashingtonLisa M Bates - Columbia UniversityMelanie M Wall - Columbia UniversityJonathan M Platt - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Preventive medicine, Vol.159, p.107068
- DOI
- 10.1016/j.ypmed.2022.107068
- PMID
- 35469776
- PMCID
- PMC9246227
- NLM abbreviation
- Prev Med
- ISSN
- 0091-7435
- eISSN
- 1096-0260
- Publisher
- Elsevier Inc
- Grant note
- DOI: 10.13039/100000025, name: National Institute of Mental Health, award: T32MH013043; DOI: 10.13039/100000002, name: National Institutes of Health
- Language
- English
- Electronic publication date
- 04/22/2022
- Date published
- 06/2022
- Academic Unit
- Epidemiology; Injury Prevention Research Center
- Record Identifier
- 9984252346602771
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