摘要
农村居民的家庭内部消费存在巨大差异,本文使用2013年中国家庭收入项目(CHIPS)调查数据,采用Lasso变量选择方法筛选出最能影响农村家庭消费的经济因素和人口特征变量,在此基础上构建分位数回归模型,在不同的消费水平上研究经济因素和人口特征如何影响农村家庭消费。结果表明,收入是影响农村家庭消费的关键因素,消费水平较高的家庭其收入弹性也比较大。就业人数、学生人数和户主享有劳保福利正向影响家庭消费,户主年龄和户主享有低保或生活救济反向影响家庭消费。
It is obvious that there is a huge difference in the consumption of rural households.In this paper,we use the 2013 Chinese Household Income Project Survey(CHIPS)data and Lasso method to filter out the most influential economic factors and population characteristics of rural household consumption,then construct the quantile regression model,to analyze the influence of economic factors and demographic characteristics on rural household consumption at different consumption levels.The results show that income is the key factor affecting rural household consumption,and the income elasticity of households with higher consumption level is relatively bigger.The number of employment,the number of students and the labor insurance welfare of the householder positively affect household consumption,while the age of the householder and low insurance or social relief of the householder negatively affect household consumption.
引文
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