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Forecasting China's Medical Insurance Policy for Urban Employees Using a Microsimulation Model

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Abstract

This paper uses microsimulation techniques to model individual's medical behavior and forecast the effects of different settings of medical insurance policies. The aim of the simulation is to measure the possible change and difference in policies in the process of implementation of the medical insurance policy settings for government policy makers. Based on predicting the medical expenses for urban employees in Zhenjiang, Jiangsu Province of China, the medical insurance policy was simulated over the five-year forecast period 2002 - 2006. The results estimated that the medical expenses of medical insurance participants in Zhenjiang will increase over this period. Retirees were found to be the main group of participants receiving the highest share of medical resource expenditure, with their medical expenses accounting for more than 45% of total medical expenses of all age groups. The proportion of medical expenses paid by the social pool funds for all groups of participants will increase annually. In addition to the base case forecasting the current policy setting, this paper also modeled two other policy settings to investigate what happens to key output variables if the policy settings are changed.

Suggested Citation

  • Linping Xiong & Xiuqiang Ma, 2007. "Forecasting China's Medical Insurance Policy for Urban Employees Using a Microsimulation Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(1), pages 1-8.
  • Handle: RePEc:jas:jasssj:2006-31-3
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    1. Laurie Brown & Ann Harding, 2002. "Social Modelling and Public Policy: Application of Microsimulation Modelling in Australia," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1-6.
    2. Akin, John S. & Dow, William H. & Lance, Peter M., 2004. "Did the distribution of health insurance in China continue to grow less equitable in the nineties? Results from a longitudinal survey," Social Science & Medicine, Elsevier, vol. 58(2), pages 293-304, January.
    3. Ann Harding & Annie Abello & Laurie Brown & Ben Phillips, 2004. "Distributional Impact of Government Outlays on the Australian Pharmaceutical Benefits Scheme in 2001–02," The Economic Record, The Economic Society of Australia, vol. 80(s1), pages 83-96, September.
    4. repec:bla:ausecr:v:37:y:2004:i:1:p:41-61 is not listed on IDEAS
    5. Henderson, Gail & Shuigao, Jin & Akin, John & Zhiming, Li & Jianmin, Wang & Haijiang, Ma & Yunan, He & Xiping, Zhang & Ying, Chang & Keyou, Ge, 1995. "Distribution of medical insurance in China," Social Science & Medicine, Elsevier, vol. 41(8), pages 1119-1130, October.
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