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首先,对我国城乡居民收入差距进行了简单的统计描述;然后,构建线性分位数回归方程,对影响收入变化的因素进行了较为细致的分析;最后,基于线性分位数回归模型,借助于反事实分析方法,将我国城乡居民收入差距分解为要素报酬效应、变量效应和残差效应,其中要素报酬效应在任何分位点处均表现最为突出,说明无论是针对较低的收入的工种,还是针对中高收入的工种,农民或多或少地被打上户籍标签,较低的要素报酬率使农民在获得收入的过程中,存在很大的劣势.
First of all, a simple statistical description of the income gap between urban and rural residents in our country is made. Then, a linear quantile regression equation is constructed to make a more detailed analysis of the factors that affect the income changes. Finally, based on the linear quantile regression model, Counterfactual analysis method, the income gap between urban and rural residents in China is decomposed into elemental reward effects, variable effects and residual effects. Among them, the elemental reward effects are the most prominent at any sub-locality point, indicating that no matter for low-income jobs, Or for middle and high-income workers, peasants are more or less labeled census register. The lower factor rate of return gives peasants a great disadvantage in their income.