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Quantifying Overinsurance Tied to the Tax Exclusion for Employment-Based Health Insurance and Its Variation by Health Status

Bibliographic Data

ID13775860
AuthorsBradley Herring (0000-0001-6845-1412, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA, corresponding author), Erin Trish (0000-0002-8736-7862, University of Southern California, Los Angeles, USA)
Year2019
Volume56
Pages46958019893857-46958019893857
Publication date2019-01-01
Open AccessYes
TypeARTICLE
VenueINQUIRY The Journal of Health Care Organization Provision and Financing (JOURNAL)
Journal identifiersISSN: 0046-9580 • E-ISSN: 1945-7243
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0046958019893857
PMID31823664
OpenAlexW2995086603
LanguageEN
References cited18

The exclusion of employment-based health insurance from income and payroll taxes is thought to increase the generosity of insurance coverage and, in turn, increase the overutilization of low-value health care services. We examine this inefficiency of overinsurance by quantifying the change in expected utility across 4 benchmark plans varying in actuarial value (AV) and focus on the distribution of each of these estimates across different groups of people varying in health status. Specifically, we quantify the changes in health care spending due to moral hazard and the changes in uncertainty tied to risk aversion using data from the nationally representative sample of adults with employment-based coverage from the 2007-2016 Medical Expenditure Panel Survey, and produce estimates of expected utility for 24 groups of people based on their age, gender, and preexisting conditions. Our model suggests an average preferred AV of 78% without the tax exclusion, with 29.0% of the population preferring a 60% AV, 6.5% preferring a 70% AV, 18.1% preferring an 80% AV, and 46.4% preferring a 90% AV. When incorporating the distortionary effect of the employment-based tax exclusion, the preferred plan increases to an 83% AV for low-income people (with 71.0% of the population preferring a 90% AV) and an 84% AV for high-income people (with 76.0% of the population preferring a 90% AV). We estimate that policy changes to make subsidies independent of a plan's AV could result in increases in utility equal to about 2.7% of total health care spending, but with those net gains concentrated among the healthy

Actuarial science · Demographic economics · Economic growth · Economics · Environmental health · Generosity · Health care · Health insurance · Inefficiency · Medical Expenditure Panel Survey · Payroll · Population · Statistics · Value (mathematics · Global Health Care Issues · Healthcare cost, quality, practices · Healthcare Policy and Management · Medicine

  • Equilibrium in Competitive Insurance Markets

    Michael Rothschild, Joseph E Stiglitz et al.•The Quarterly Journal of Economics•1976

  • What Can We Expect from the “Cadillac Tax” in 2018 and Beyond

    Open Access•Bradley Herring, Lisa Korin Lentz•INQUIRY The Journal of Health…•2011

  • The Welfare Loss of Excess Health Insurance

    Martin S Feldstein, Martin Feldstein•Journal of Political Economy•1973

Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae