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How do health insurance loading fees vary by group size?: implications for Healthcare reform

Overview of attention for article published in International Journal of Health Economics and Management, August 2011
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33 Mendeley
Title
How do health insurance loading fees vary by group size?: implications for Healthcare reform
Published in
International Journal of Health Economics and Management, August 2011
DOI 10.1007/s10754-011-9096-4
Pubmed ID
Authors

Pinar Karaca-Mandic, Jean M. Abraham, Charles E. Phelps

Abstract

The health insurance loading fee represents the portion of the premium above the expected amount of medical care expenditures paid by the insurance company. The size of the loading fees and how they vary by employer group size have important implications for health policy given the recent passage of the Patient Protection and Affordable Care Act. Despite their policy relevance, there is surprisingly little empirical evidence on the magnitude and the determinants of health insurance loading fees. This paper provides estimates of the loading fees by firm size using data from the confidential Medical Expenditure Panel Survey Household Component-Insurance Component Linked File. Overall, we find an inverse relationship between employer group size and loading fees. Firms of up to 100 employees face similar loading fees of approximately 34%. Loads decline with firm size and are estimated to be on average 15% for firms with more than 100 employees, but less than 10,000 employees, and 4% for firms with more than 10,000 workers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 15%
Student > Ph. D. Student 5 15%
Student > Doctoral Student 2 6%
Lecturer > Senior Lecturer 2 6%
Professor 2 6%
Other 6 18%
Unknown 11 33%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Economics, Econometrics and Finance 6 18%
Social Sciences 4 12%
Agricultural and Biological Sciences 2 6%
Business, Management and Accounting 2 6%
Other 1 3%
Unknown 11 33%