Employer-sponsored insurance, health care cost growth, and the economic performance of U.S. Industries

Health Serv Res. 2009 Oct;44(5 Pt 1):1449-64. doi: 10.1111/j.1475-6773.2009.00985.x. Epub 2009 Jun 3.

Abstract

Objective: To estimate the effect of growth in health care costs that outpaces gross domestic product (GDP) growth ("excess" growth in health care costs) on employment, gross output, and value added to GDP of U.S. industries.

Study setting: We analyzed data from 38 U.S. industries for the period 1987-2005. All data are publicly available from various government agencies.

Study design: We estimated bivariate and multivariate regressions. To develop the regression models, we assumed that rapid growth in health care costs has a larger effect on economic performance for industries where large percentages of workers receive employer-sponsored health insurance (ESI). We used the estimated regression coefficients to simulate economic outcomes under alternative scenarios of health care cost inflation.

Results: Faster growth in health care costs had greater adverse effects on economic outcomes for industries with larger percentages of workers who had ESI. We found that a 10 percent increase in excess growth in health care costs would have resulted in 120,803 fewer jobs, US$28,022 million in lost gross output, and US$14,082 million in lost value added in 2005. These declines represent 0.17 to 0.18 percent of employment, gross output, and value added in 2005.

Conclusion: Excess growth in health care costs is adversely affecting the economic performance of U.S. industries.

MeSH terms

  • Employment / economics*
  • Employment / statistics & numerical data
  • Employment / trends
  • Health Benefit Plans, Employee / economics*
  • Health Benefit Plans, Employee / statistics & numerical data
  • Health Benefit Plans, Employee / trends
  • Health Care Reform / economics
  • Health Expenditures / statistics & numerical data*
  • Health Expenditures / trends
  • Health Policy
  • Health Services Research
  • Humans
  • Industry / economics*
  • Industry / statistics & numerical data
  • Industry / trends
  • Regression Analysis
  • United States