摘要
通过对江西省连片特困地区居民的问卷调查,对居民受教育程度与收入水平进行统计分析,并以收入水平为因变量,居民受教育程度、年龄、性别、身体健康状况、户籍、工作时间为自变量,构建计量经济模型,借助OLS回归和分位数回归估计各自变量对收入水平的影响。结果表明,教育贫困是导致收入贫困的重要因素,性别、身体健康状况、工作时间长短(劳动强度)也是影响居民收入的重要因子。
The relevant data was obtained through the questionnaire survey for the residents of continuous destitute areas in jiangxi province. On this basis, a statistical analysis was carried out for the residents' income level and the level of education, then build econometric models by the income levels as the dependent variable; the residents' level of education, age, sex, physical health, the household registration, the working time as the independent variable. With the OLS regression and quantile regression it estimate the impact of each variable on income levels. The results show that: education poverty is an important factor leading to income poverty, and the gender, health status, work duration (labor intensity) are also important factors that affects the residents' income.
出处
《教育学术月刊》
北大核心
2016年第3期52-56,共5页
Education Research Monthly
基金
江西省教育规划课题"江西省连片特困地区教育贫困与收入贫困的关系研究"(编号14YB103)的成果
关键词
教育贫困
收入贫困
分位数回归
education poverty, income poverty, quantile regression