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分位数回归在医疗消费影响因素研究中的应用
The Application of Quantile Regression in Research on the Influencing Factors of Medical Consumption
【摘要】 基于分位数回归及其变量选择模型,利用2011年中国健康与营养调查数据(CHNS)实证分析了医疗消费的影响因素.通过Lasso方法从多个影响因素中选取出了对医疗消费影响较大的因素,发现个人收入、年龄、受教育程度、患病程度和地区变量对医疗消费的影响较大,通过分位数回归模型,对影响医疗消费诸因素的作用方式与程度进行了研究.
【Abstract】 Based on Quantile Regression and its variable selection model,this paper empirically analyzes the influencing factors of medical consumption by using the China Health and Nutrition Survey(CHNS) in 2011.By the method of Lasso we found that among the factors of medical expenditure,personal income,age,education level,prevalence and regional factors have a greater impact,and study the effects and degree of influencing factors of medical consumption via quantile regression model.
【关键词】 分位数回归;
变量选择;
Lasso;
医疗消费;
【Key words】 quantile regression; variable selection; lasso; medical consumption;
【Key words】 quantile regression; variable selection; lasso; medical consumption;
【基金】 国家自然科学基金(11201356)
- 【文献出处】 数学的实践与认识 ,Mathematics in Practice and Theory , 编辑部邮箱 ,2017年18期
- 【分类号】O212.1;R195
- 【被引频次】6
- 【下载频次】307