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Individual health insurance reforms in the U.S.: Expanding interstate markets, Medicare for all, or Medicaid for all?

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  • Frederick, Joshua D.
  • Fung, Derrick W.H.
  • Yang, Charles C.
  • Yeh, Jason J.H.

Abstract

To help enhancing affordability and availability in the U.S. individual health insurance markets, we evaluate whether expanding interstate markets is associated with efficiency improvement, and the potentials of “Medicaid for All” and “Medicare for All”. This research aims to provide insights and evidence for data-driven decision making in reforming individual health insurance markets and optimizing individual health insurance operations. We employ traditional, non-oriented slack-based, order-α partial frontier, bootstrapped bias-corrected, and modified context-dependent data envelopment analysis (DEA) models, as well as generalized linear, Tobit, and residual inclusion regression models. We find that higher competition or expansion is not associated with higher consumer efficiency or societal efficiency. Our results also indicate that, in minimizing premiums or expenses given enrollment and utilization of medical services, individual health plans are less efficient than Medicaid managed care plans, but more efficient than Medicare Advantage plans. Our findings imply that, for individual plans, expanding interstate markets is not accompanied with lower premiums or expenses without the sacrifice of medical services. This research suggests that it should be advisable to structure individual health insurance markets following the Medicaid managed care model but not the Medicare Advantage model. To “Medicaid-ize” individual markets, we propose to structure the individual coverage in two layers: a conditionally subsidized Medicaid managed care program with mandatory essential benefits, and an unsubsidized “Medicaid Supplement” program for optional additional coverages.

Suggested Citation

  • Frederick, Joshua D. & Fung, Derrick W.H. & Yang, Charles C. & Yeh, Jason J.H., 2022. "Individual health insurance reforms in the U.S.: Expanding interstate markets, Medicare for all, or Medicaid for all?," European Journal of Operational Research, Elsevier, vol. 297(2), pages 753-765.
  • Handle: RePEc:eee:ejores:v:297:y:2022:i:2:p:753-765
    DOI: 10.1016/j.ejor.2021.06.022
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    as
    1. Seiford, Lawrence M. & Zhu, Joe, 2003. "Context-dependent data envelopment analysis--Measuring attractiveness and progress," Omega, Elsevier, vol. 31(5), pages 397-408, October.
    2. Charles C. Yang, 2014. "Health Care Reform, Efficiency of Health Insurers, and Optimal Health Insurance Markets," North American Actuarial Journal, Taylor & Francis Journals, vol. 18(4), pages 478-500, October.
    3. Leemore Dafny & Jonathan Gruber & Christopher Ody, 2015. "More Insurers Lower Premiums: Evidence from Initial Pricing in the Health Insurance Marketplaces," American Journal of Health Economics, MIT Press, vol. 1(1), pages 53-81, Winter.
    4. Joseph J. Minarik, 2020. "We Need Better Than Medicare For All: Conclusions," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 1265-1268, September.
    5. Leemore Dafny & Mark Duggan & Subramaniam Ramanarayanan, 2012. "Paying a Premium on Your Premium? Consolidation in the US Health Insurance Industry," American Economic Review, American Economic Association, vol. 102(2), pages 1161-1185, April.
    6. Pinar Karaca‐Mandic & Jean M. Abraham & Kosali Simon, 2015. "Is The Medical Loss Ratio A Good Target Measure For Regulation In The Individual Market For Health Insurance?," Health Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 55-74, January.
    7. Todd A. Gormley & David A. Matsa, 2014. "Common Errors: How to (and Not to) Control for Unobserved Heterogeneity," The Review of Financial Studies, Society for Financial Studies, vol. 27(2), pages 617-661.
    8. Charles C. Yang, 2020. "The Affordability of the Individual Markets in the Affordable Care Act: Analyses of Premium Increases and Cost Reductions from an Expanded Cross-Subsidization Perspective," North American Actuarial Journal, Taylor & Francis Journals, vol. 24(3), pages 446-462, July.
    9. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    10. Jonathan Gruber & Benjamin D. Sommers, 2019. "The Affordable Care Act’s Effects on Patients, Providers and the Economy: What We’ve Learned So Far," NBER Working Papers 25932, National Bureau of Economic Research, Inc.
    11. Mahlberg, Bernhard & Url, Thomas, 2010. "Single Market effects on productivity in the German insurance industry," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1540-1548, July.
    12. Charles C. Yang, 2020. "Health Expenditures and Quality Health Services: The Efficiency Analysis of Differential Risk Structures of Medicare Accountable Care Organizations (ACOs)," North American Actuarial Journal, Taylor & Francis Journals, vol. 25(1), pages 94-114, September.
    13. Joseph J. Minarik, 2020. "We Need Better Than Medicare For All," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 1254-1261, September.
    14. Patrick L. Brockett & Linda L. Golden & Charles C. Yang, 2018. "Potential “Savings” of Medicare: The Analysis of Medicare Advantage and Accountable Care Organizations," North American Actuarial Journal, Taylor & Francis Journals, vol. 22(3), pages 458-472, July.
    15. Leemore Dafny & Jonathan Gruber & Christopher Ody, 2015. "More Insurers Lower Premiums: Evidence from Initial Pricing in the Health Insurance Marketplaces," American Journal of Health Economics, University of Chicago Press, vol. 1(1), pages 53-81, Winter.
    16. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    17. Jonathan Gruber & Benjamin D. Sommers, 2019. "The Affordable Care Act'S Effects On Patients, Providers, And The Economy: What We'Ve Learned So Far," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 38(4), pages 1028-1052, September.
    18. Schmid, Markus M. & Walter, Ingo, 2012. "Geographic diversification and firm value in the financial services industry," Journal of Empirical Finance, Elsevier, vol. 19(1), pages 109-122.
    19. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    20. Zinat S. Alam & Mark A. Chen & Conrad S. Ciccotello & Harley E. Ryan, 2018. "Board Structure Mandates: Consequences for Director Location and Financial Reporting," Management Science, INFORMS, vol. 64(10), pages 4735-4754, October.
    21. Charles C. Yang & Min-Ming Wen, 2017. "An Efficiency-Based Approach to Determining Potential Cost Savings and Profit Targets for Health Insurers: The Case of Obamacare Health Insurance CO-OPs," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(2), pages 305-321, April.
    22. Aragon, Y. & Daouia, A. & Thomas-Agnan, C., 2005. "Nonparametric Frontier Estimation: A Conditional Quantile-Based Approach," Econometric Theory, Cambridge University Press, vol. 21(2), pages 358-389, April.
    23. Joe Zhu, 2009. "Quantitative Models for Performance Evaluation and Benchmarking," International Series in Operations Research and Management Science, Springer, number 978-0-387-85982-8, December.
    24. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    25. Patrick L. Brockett & Ray E. Chang & John J. Rousseau & John H. Semple & Chuanhou Yang, 2004. "A Comparison of HMO Efficiencies as a Function of Provider Autonomy," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(1), pages 1-19, March.
    26. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    27. Linda L. Golden & Charles C. Yang, 2019. "Efficiency Analysis of Health Insurers’ Scale of Operations and Group Affiliation with a Perspective Toward Health Insurers’ Mergers and Acquisitions Effects," North American Actuarial Journal, Taylor & Francis Journals, vol. 23(4), pages 626-645, October.
    28. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    29. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    30. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
    31. Martin R. Goetz & Luc Laeven & Ross Levine, 2013. "Identifying the Valuation Effects and Agency Costs of Corporate Diversification: Evidence from the Geographic Diversification of U.S. Banks," The Review of Financial Studies, Society for Financial Studies, vol. 26(7), pages 1787-1823.
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