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Managed Care and Health Care Utilization: Specification of Bivariate Models Using Copulas

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  • Peng Shi
  • Wei Zhang

Abstract

This article studies the effect of managed care on health care utilization compared to traditional fee-for-service plans in private health insurance market. To construct our hypothesis, we build a game-theoretic model to study health care utilization under a two-sided moral hazard: of patients and providers. In econometric modeling, we employ a copula regression to jointly examine individuals’ health plan choice and their utilization of medical care services, because of the endogeneity of insurance choice. The dependence parameter in the copula reflects the relation between the two outcomes, based on which the average treatment effects are further derived. We apply the methodology to a survey data set of the U.S. population and consider three types of curative care and three types of preventive care for the measurement of medical care utilization. We find that managed care is in general associated with higher care utilization. Evidence is also found on the underlying incentives of both patients and medical providers.

Suggested Citation

  • Peng Shi & Wei Zhang, 2013. "Managed Care and Health Care Utilization: Specification of Bivariate Models Using Copulas," North American Actuarial Journal, Taylor & Francis Journals, vol. 17(4), pages 306-324.
  • Handle: RePEc:taf:uaajxx:v:17:y:2013:i:4:p:306-324
    DOI: 10.1080/10920277.2013.849192
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    Cited by:

    1. William Lim & Gaurav Khemka & David Pitt & Bridget Browne, 2019. "A method for calculating the implied no-recovery three-state transition matrix using observable population mortality incidence and disability prevalence rates among the elderly," Journal of Population Research, Springer, vol. 36(3), pages 245-282, September.
    2. Hieber, Peter & Lucas, Nathalie, 2020. "Life-Care Tontines," LIDAM Discussion Papers ISBA 2020026, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

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