Literature DB >> 21858490

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

Pinar Karaca-Mandic1, 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.

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Year:  2011        PMID: 21858490     DOI: 10.1007/s10754-011-9096-4

Source DB:  PubMed          Journal:  Int J Health Care Finance Econ        ISSN: 1389-6563


  9 in total

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Journal:  EBRI Issue Brief       Date:  2003-01

3.  Too much ado about two-part models and transformation? Comparing methods of modeling Medicare expenditures.

Authors:  Melinda Beeuwkes Buntin; Alan M Zaslavsky
Journal:  J Health Econ       Date:  2004-05       Impact factor: 3.883

Review 4.  Self-reported utilization of health care services: improving measurement and accuracy.

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Journal:  Med Care Res Rev       Date:  2006-04       Impact factor: 3.929

5.  The role of product design in consumers' choices in the individual insurance market.

Authors:  M Susan Marquis; Melinda Beeuwkes Buntin; José J Escarce; Kanika Kapur
Journal:  Health Serv Res       Date:  2007-12       Impact factor: 3.402

6.  Commentary: what is the right price of health insurance? A rejoinder.

Authors:  M Susan Marquis; Melinda Beeuwkes Buntin; José J Escarce; Kanika Kapur
Journal:  Health Serv Res       Date:  2007-12       Impact factor: 3.402

7.  Breaking American health policy gridlock.

Authors:  U E Reinhardt
Journal:  Health Aff (Millwood)       Date:  1991       Impact factor: 6.301

8.  Access to health insurance at small establishments: what can we learn from analyzing other fringe benefits?

Authors:  Jean Marie Abraham; Thomas DeLeire; Anne Beeson Royalty
Journal:  Inquiry       Date:  2009       Impact factor: 1.730

9.  Reconciling medical expenditure estimates from the MEPS and NHEA, 2002.

Authors:  Merrile Sing; Jessica S Banthin; Thomas M Selden; Cathy A Cowan; Sean P Keehan
Journal:  Health Care Financ Rev       Date:  2006
  9 in total
  1 in total

1.  Medical loss ratio as a potential regulatory tool in the Israeli healthcare system.

Authors:  Tzahit Simon-Tuval; Tuvia Horev; Giora Kaplan
Journal:  Isr J Health Policy Res       Date:  2015-05-01
  1 in total

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