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家庭收入对健康水平的影响研究——基于Logistic模型回归 被引量:2

A Study on Impacts of Health from Household Income——Based on Logistic Mondel
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摘要 本文在借鉴以往研究成果的基础上,利用CHARLS2013年的问卷数据,选取自评健康水平、高血压患病情况为因变量,并利用多元线性模型回归及Logistic回归,对以家庭人均可支配收入为代表的解释变量进行回归。结果显示,家庭人均可支配收入与自评健康水平负相关,与高血压患病概率正相关,引导政府改进收入分配,关注居民幸福指数和健康水平。另外,个体年龄的增长不可避免带来系列慢性病问题,表明政府应完善养老医疗社会保险制度。同时,家庭最高受教育程度提高有助于减少高血压患病率,表明政府可以推广义务教育,提高群众受教育水平。 This paper,drawing on previous research results, combines the data of questionnaires collected fi'om the CHARLS in 2013 and makes a Multiple Linear Regression and Logistic Regression which selects the self-rated health level and the incidence of Hy- pertension as dependent variables and average household disposable income as the main explanatory variable. The results show that there is a negative correlation relationship between the self-rated health level and average household disposable income, while a positive cor- relation relationship in terms of the incidence of hypertension, leading the government to improve the system of distribution of income and to attach importance to happiness index and health condition of citizens. Moreover, series of chronic diseases inevitably show up as people get older, which indicates that government should improve the social security- system( consisting of social security- pension system and social medical security- system). Furthermore, as the highest education level in one family increases, it helps reduce the probability of the incidence of Hypertension. The government can learn from it to promote the eompulsory- education and improve the educated level of the masses.
作者 何宇飞 HE Yu-fei(School of Finance,Central University of Finance and Economics, Beijing 100081, China)
出处 《齐齐哈尔大学学报(哲学社会科学版)》 2018年第4期64-68,111,共6页 Journal of Qiqihar University(Philosophy & Social Science Edition)
关键词 自评健康水平 高血压 LOGISTIC模型 家庭人均可支配收入 self-rated health level hypertension logistic model average household disposable income
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