Citing this article

A standard form of citation of this article is:

Xiong, Linping and Ma, Xiuqiang (2007). 'Forecasting China's Medical Insurance Policy for Urban Employees Using a Microsimulation Model'. Journal of Artificial Societies and Social Simulation 10(1)8 <http://jasss.soc.surrey.ac.uk/10/1/8.html>.

The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:

@article{xiong2007,
title = {Forecasting China's Medical Insurance Policy for Urban Employees Using a Microsimulation Model},
author = {Xiong, Linping and Ma, Xiuqiang},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {10},
number = {1},
pages = {8},
year = {2007},
URL = {http://jasss.soc.surrey.ac.uk/10/1/8.html},
keywords = {Medical Insurance, Policy Research, Microsimulation, Model},
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.},
}

The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.


TY - JOUR
TI - Forecasting China's Medical Insurance Policy for Urban Employees Using a Microsimulation Model
AU - Xiong, Linping
AU - Ma, Xiuqiang
Y1 - 2007/01/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 10
IS - 1
SP - 8
UR - http://jasss.soc.surrey.ac.uk/10/1/8.html
KW - Medical Insurance
KW - Policy Research
KW - Microsimulation
KW - Model
N2 - 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.
ER -