Does service-level spending show evidence of selection across health plan types?
AbstractWe provide an explanation for the widespread finding that capitated managed care plans attract comparatively healthy, low cost enrollees relative to traditional unmanaged plans. Using disaggregated commercial insurance claims from the Thomson-Reuters MarketScan database, we show that managed care plans spend proportionally less on those types of services that are predicted to be more profitable to ration tightly using a selection index developed by Ellis and McGuire that captures the derivative of profits with respect to reduced spending on disaggregated services. Conventional diagnosis-based risk adjusted premiums reduce selection incentives by about 50% relative to premiums that are not risk-adjusted.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics.
Volume (Year): 45 (2013)
Issue (Month): 13 (May)
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Other versions of this item:
- Shenyi Jiang & Randall P. Ellis & Tzu-chun Kuo, 2007. "Does service-level spending show evidence of selection across health plan types?," Boston University - Department of Economics - Working Papers Series wp2007-43, Boston University - Department of Economics.
- I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Partha Deb & Chenghui Li & Pravin K. Trivedi & David M. Zimmer, 2006. "The effect of managed care on use of health care services: results from two contemporaneous household surveys," Health Economics, John Wiley & Sons, Ltd., vol. 15(7), pages 743-760.
- Cao, Zhun & McGuire, Thomas G., 2003. "Service-level selection by HMOs in Medicare," Journal of Health Economics, Elsevier, vol. 22(6), pages 915-931, November.
- Ellis, Randall P. & McGuire, Thomas G., 2007.
"Predictability and predictiveness in health care spending,"
Journal of Health Economics,
Elsevier, vol. 26(1), pages 25-48, January.
- Randall P. Ellis & Thomas G. McGuire, 2006. "Predictability and Predictiveness in Health Care Spending," Boston University - Department of Economics - Working Papers Series WP2006-001, Boston University - Department of Economics.
- Frank, Richard G. & Glazer, Jacob & McGuire, Thomas G., 2000. "Measuring adverse selection in managed health care," Journal of Health Economics, Elsevier, vol. 19(6), pages 829-854, November.
- Anupa Bir & Karen Eggleston, 2006.
"Measuring Selection Incentives in Managed Care: Evidence from the Massachusetts State Employee Insurance Program,"
Discussion Papers Series, Department of Economics, Tufts University
0605, Department of Economics, Tufts University.
- Karen Eggleston & Anupa Bir, 2009. "Measuring Selection Incentives in Managed Care: Evidence From the Massachusetts State Employee Insurance Program," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(1), pages 159-175.
- Arlene Ash & Randall P. Ellis & Gregory Pope & John Ayanian & David Bates & Helen Burstin & Lisa Iezzoni & Elizabeth McKay & Wei Yu, 2000. "Using Diagnoses to Describe Populations and Predict Costs," Papers 0099, Boston University - Industry Studies Programme.
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