Based on the data of China Family Panel Studies this paper constructs a strong balanced panel data with two levels information, which including variables from family level and personal level. This paper uses the panel data fixed effect model and propensity score matching model to analysis.
This paper finds that after controlling the family and personal confounding variables, the basic medical insurance has positive effect toward health status. With propensity score matching model, this paper finds that there is causality between basic medical insurance and public health.
Basic medical insurance has a significant health effect, that is, basic medical insurance has a significant positive impact on individual self-rated health. Participating in basic medical insurance can significantly improve the ability of families to face risk shocks, promote the accumulation of health capital in families, promote the diversification of livelihood strategies, and effectively prevent the occurrence of returning to poverty due to illness.
■基于中国家庭面板研究的数据,本文构建了一个具有两个层次信息的强平衡面板数据,其中包括家庭层面和个人层面的变量。本文采用面板数据固定效应模型和倾向得分匹配模型进行分析。
■本文发现,在控制家庭和个人混杂变量后,基本医疗保险对健康状况有积极影响。使用倾向得分匹配模型,本文发现基本医疗保险与公共卫生之间存在因果关系。
■基本医疗保险具有显著的健康效应,也就是说,基本医疗保险对个人自评健康有显著的正向影响。参加基本医疗保险可以显著提高家庭面对风险冲击的能力,促进家庭健康资本的积累,促进民生战略的多样化,有效防止因病返贫。