State subsidized reinsurance programs: Impacts on efficiency, premiums, and expenses of the U.S. health insurance markets
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DOI: 10.1016/j.ejor.2022.08.005
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- 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.
- Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
- 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.
- 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.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
- 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.
- 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.
- SIMAR, Léopold & WILSON, Paul, 1995. "Sensitivity Analysis to Efficiency Scores : How to Bootstrap in Nonparametric Frontier Models," LIDAM Discussion Papers CORE 1995043, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Simar, L. & Wilson, P.W., 1998. "Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models," LIDAM Reprints CORE 1304, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Elodie Adida & Hamed Mamani & Shima Nassiri, 2017. "Bundled Payment vs. Fee-for-Service: Impact of Payment Scheme on Performance," Management Science, INFORMS, vol. 63(5), pages 1606-1624, May.
- 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.
- 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.
- 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.
- 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.
- Jordan Alzubi & Derrick Fung & Charles Yang & Jason Yeh, 2022. "Improving health insurance markets: cost efficiency, implementation, and financing of expanding association health plans," Review of Quantitative Finance and Accounting, Springer, vol. 59(2), pages 671-694, August.
- 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.
- 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.
- 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.
- William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, March.
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- You-Shyang Chen & Ying-Hsun Hung & Yu-Sheng Lin, 2023. "A Study to Identify Long-Term Care Insurance Using Advanced Intelligent RST Hybrid Models with Two-Stage Performance Evaluation," Mathematics, MDPI, vol. 11(13), pages 1-34, July.
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Keywords
Decision analysis; State subsidized reinsurance; Health insurance efficiency; Section 1332 waiver; Entropy-balancing;All these keywords.
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