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Health Plan Choice and the Utilization of Health Care Services

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  • Dowd, Bryan, et al

Abstract

The effect of health-plan membership on the utilization of health-care services is of interest to both consumers and policymakers. Often estimation of that effect is difficult because data are nonexperimental and the dependent variable exhibits a high proportion of zeros. The authors propose a model of utilization that addresses both problems. After controlling for chronic illness and other observed variables, they find no evidence of further selectivity bias in equations for physician contacts and inpatient days. The authors' estimates of the effect of health-plan membership on utilization of services are similar to those from experimental data. Coauthors are Roger Feldman, Steven Cassou, and Michael Finch. Copyright 1991 by MIT Press.

Suggested Citation

  • Dowd, Bryan, et al, 1991. "Health Plan Choice and the Utilization of Health Care Services," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 85-93, February.
    • Handle: RePEc:tpr:restat:v:73:y:1991:i:1:p:85-93
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    Cited by:

    1. Matthew Jowett & Anil Deolalikar & Peter Martinsson, 2004. "Health insurance and treatment seeking behaviour: evidence from a low‐income country," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 845-857, September.
    2. Trottmann, Maria & Zweifel, Peter & Beck, Konstantin, 2012. "Supply-side and demand-side cost sharing in deregulated social health insurance: Which is more effective?," Journal of Health Economics, Elsevier, vol. 31(1), pages 231-242.
    3. Richard Dusansky & Çağatay Koç, 2010. "Implications of the Interaction Between Insurance Choice and Medical Care Demand," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 129-144, March.
    4. René C.J.A. van Vliet, 2006. "Free choice of health plan combined with risk‐adjusted capitation payments: are switchers and new enrolees good risks?," Health Economics, John Wiley & Sons, Ltd., vol. 15(8), pages 763-774, August.
    5. Munkin, Murat K. & Trivedi, Pravin K., 2003. "Bayesian analysis of a self-selection model with multiple outcomes using simulation-based estimation: an application to the demand for healthcare," Journal of Econometrics, Elsevier, vol. 114(2), pages 197-220, June.
    6. Partha Deb & Pravin K. Trivedi, 2002. "Specification and Simulated Likelihood Estimation of a Non-normal Outcome Model with Selection: Application to Health Care Utilization," Economics Working Paper Archive at Hunter College 02/5, Hunter College Department of Economics, revised 2004.
    7. Lehmann, Hansjorg & Zweifel, Peter, 2004. "Innovation and risk selection in deregulated social health insurance," Journal of Health Economics, Elsevier, vol. 23(5), pages 997-1012, September.
    8. Abdulbaki Bilgic & Wojciech Florkowski, 2009. "The impact of license regulation on the number of recreation trips: is it worth considering?," Journal of Regulatory Economics, Springer, vol. 35(1), pages 45-69, February.
    9. Jaeun Shin & Sangho Moon, 2007. "Do Hmo Plans Reduce Health Care Expenditure In The Private Sector?," Economic Inquiry, Western Economic Association International, vol. 45(1), pages 82-99, January.
    10. Sungki Lee & Donghyuk Choi & Yeonbae Kim, 2009. "Contextual Effects on the Complementarities Between R&D Activities: An Empirical Analysis of the Korean Manufacturing Industry," TEMEP Discussion Papers 200917, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2009.
    11. Marvasti, Akbar, 2014. "An estimation of the demand and supply for physician services using a panel data," Economic Modelling, Elsevier, vol. 43(C), pages 279-286.
    12. Ann Helwege, 1996. "Preventive versus Curative Medicine: A Policy Exercise for the Classroom," The Journal of Economic Education, Taylor & Francis Journals, vol. 27(1), pages 59-71, January.
    13. Giampiero Marra & Rosalba Radice & David M. Zimmer, 2020. "Estimating the binary endogenous effect of insurance on doctor visits by copula‐based regression additive models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 953-971, August.

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