The effects of the affordable care act dependent coverage mandate on parents’ labor market outcomes
Seonghoon Kim and
Kanghyock Koh
Labour Economics, 2022, vol. 75, issue C
Abstract:
We examine the labor market impacts of the Affordable Care Act dependent mandate (ACA-DM), which has significantly increased dependent children's health insurance coverage through parents’ employer-sponsored health benefits. Using data from the American Community Survey, we find that the ACA-DM reduced parents’ annual wages by about $2,600. However, the probability of employment and working hours only decreased marginally. The back-of-the-envelope calculation indicates that the magnitude of the estimated wage impact is similar to the increased insurance premium of a family plan due to the ACA-DM. These findings imply that a deadweight loss associated with the expansion of dependent health coverage is likely to be small as an increase in employers’ labor costs is offset by a reduction in parents’ wages without significant reductions in labor inputs.
Keywords: The affordable care act dependent mandate; Dependent health insurance coverage; Parents’ labor market outcomes; Deadweight loss (search for similar items in EconPapers)
JEL-codes: H51 I18 J32 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927537122000215
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:labeco:v:75:y:2022:i:c:s0927537122000215
DOI: 10.1016/j.labeco.2022.102128
Access Statistics for this article
Labour Economics is currently edited by A. Ichino
More articles in Labour Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().