引用本文: |
任晓明,吴群红.基于Newton-Cotes算法的我国家庭灾难性卫生支出估算研究*[J].中国卫生经济,2022,41(9):9-12.[点击复制] |
Ren Xiaoming,Wu Qunhong.Analysis on the Estimation of Family Catastrophic Health Expenditure in China Based on Newton-Cotes Algorithm[J].CHINESE HEALTH ECONOMICS,2022,41(9):9-12.[点击复制] |
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摘要: |
目的:从宏观数据出发构建估算我国家庭灾难性卫生支出的方法,并对其准确性进行检验。方法:以 New ton-Cotes算法为基础,充分考虑家庭在收入和医疗支出上的二维异质性,在模拟90000个异质性家庭医疗支出占其可支配收入之比的基础上,估算全社会的灾难性卫生支出发生率、因病致贫率、发生强度和集中指数等指标。结果:随着我国经济的发展和家庭收入的提高,灾难性卫生支出发生率和发生强度均不断降低,但低收入家庭的集中程度则不断提高。结论:此方法具有一定的准确性和稳定性,对现有估算方法具有补充和借鉴的作用。 |
关键词: 家庭灾难性卫生支出 宏观数据估算 Newton-Cotes算法 |
DOI: |
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基金项目:国家社科基金重点项目(19AZD013) |
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Analysis on the Estimation of Family Catastrophic Health Expenditure in China Based on Newton-Cotes Algorithm |
Ren Xiaoming,Wu Qunhong |
(School of Economics, University of Chinese Academy of Social Sciences, Beijing, 102401 , China) |
Abstract: |
Objective: It constructs a method to estimate China's family catastrophic health expenditure from macro data, and tests its accuracy. Methods: Based on the Newton-Cotes algorithm in computational economics, the two-dimensional heterogeneity of household income and medical expenditure is fully considered. On the basis of simulating the ratio of medical expenditure to disposable income of 90000 heterogeneous households, the occurrence rate of catastrophic health expenditure, poverty rate due to disease, occurrence intensity and concentration index of the whole society are estimated. Results: With the growth of China's economy and the improvement of family income, the incidence and intensity of catastrophic health expenditure are decreasing, and the degree of concentration is increasing. Conclusion: It is proved that this method has certain accuracy and stability, which can be used as a supplement and reference to the existing estimation methods. |
Key words: family catastrophic health expenditure macrodata estimation Newtom-Cotes Algorithm |