Income assistance programs and population health : the dual impact of minimum wages and the earned income tax credit
Lenhart, Otto and Chakraborty, Kalyan (2024) Income assistance programs and population health : the dual impact of minimum wages and the earned income tax credit. Economics Letters, 234. 111508. ISSN 0165-1765 (https://doi.org/10.1016/j.econlet.2023.111508)
Preview |
Text.
Filename: Lenhart-Chakraborty-EL-2023-Income-assistance-programs-and-population-health.pdf
Final Published Version License: Download (560kB)| Preview |
Abstract
In this study, we provide new evidence on the interaction of state-level minimum wages and Earned Income Tax Credit (EITC) laws on several measures of population health. Using data from the National Vital Statistics Reports between 1999 and 2018, we estimate difference-in-differences models to evaluate the dual impact of minimum wages and the EITC on various causes of mortality, such as suicides, motor accidents and assaults. While several researchers have examined the health effects of both these policies separately, few studies have examined the potential interaction effects of these policies. Specifically, while previous work has provided evidence that both minimum wages and the EITC can reduce suicide rates, our study contributes to the literature by showing that the policies have a positive dual impact on population health. We find that a $1 increase in minimum wages reduces death rates due to suicides and assaults by 3.8 percent and 15.2 percent in states with EITC laws, respectively. In contrast, we show that minimum wages do not impact these outcomes in states without state-level EITC laws.
ORCID iDs
Lenhart, Otto ORCID: https://orcid.org/0000-0003-0949-4820 and Chakraborty, Kalyan;-
-
Item type: Article ID code: 87790 Dates: DateEvent31 January 2024Published27 December 2023Published Online21 December 2023Accepted7 December 2023SubmittedSubjects: Social Sciences > Public Finance
Social Sciences > Economic History and Conditions
Social Sciences > Economic Theory > Methodology > Mathematical economics. Quantitative methodsDepartment: Strathclyde Business School > Economics Depositing user: Pure Administrator Date deposited: 11 Jan 2024 14:30 Last modified: 29 Nov 2024 01:21 URI: https://strathprints.strath.ac.uk/id/eprint/87790