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A finite selection model for experimental design of the health insurance study

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  • Morris, Carl

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  • Morris, Carl, 1979. "A finite selection model for experimental design of the health insurance study," Journal of Econometrics, Elsevier, vol. 11(1), pages 43-61, September.
    • Handle: RePEc:eee:econom:v:11:y:1979:i:1:p:43-61
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    Cited by:

    1. Aviva Aron-Dine & Liran Einav & Amy Finkelstein, 2013. "The RAND Health Insurance Experiment, Three Decades Later," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 197-222, Winter.
    2. Connelly, Luke B., 2003. "Balancing the Number and Size of Sites: An Economic Approach to the Optimal Design of Cluster Samples," MPRA Paper 14676, University Library of Munich, Germany.
    3. Dimitris Bertsimas & Mac Johnson & Nathan Kallus, 2015. "The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples," Operations Research, INFORMS, vol. 63(4), pages 868-876, August.
    4. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    5. Jeffrey E. Harris, 1985. "Macroexperiments versus Microexperiments for Health Policy," NBER Chapters, in: Social Experimentation, pages 145-186, National Bureau of Economic Research, Inc.
    6. Lin, Haizhen & Sacks, Daniel W., 2019. "Intertemporal substitution in health care demand: Evidence from the RAND Health Insurance Experiment," Journal of Public Economics, Elsevier, vol. 175(C), pages 29-43.
    7. Grant, William C. & Anstrom, Kevin J., 2008. "Minimizing selection bias in randomized trials: A Nash equilibrium approach to optimal randomization," Journal of Economic Behavior & Organization, Elsevier, vol. 66(3-4), pages 606-624, June.
    8. Cecilia S. Diaz-Campo, M. Antonella Mancino, 2023. "What We RANDomly Did Not Learn: Opioid Elasticities and Underlying Mechanisms," LCERPA Working Papers bm0139, Laurier Centre for Economic Research and Policy Analysis.
    9. Dimitris Bertsimas & Nikita Korolko & Alexander M. Weinstein, 2019. "Covariate-Adaptive Optimization in Online Clinical Trials," Operations Research, INFORMS, vol. 67(4), pages 1150-1161, July.
    10. Haizhen Lin & Daniel W. Sacks, 2016. "Intertemporal Substitution in Health Care Demand: Evidence from the RAND Health Insurance Experiment," NBER Working Papers 22802, National Bureau of Economic Research, Inc.

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