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文章使用中国健康与养老追踪调查2011年与2013年数据,对中国非农业居民的家庭消费影响因素进行了回归分析,通过OLS回归得到均值回归结果,使用条件分位数和无条件分位数回归得到分布上的回归结果,并对家庭消费的影响变量和相关因素进行了综合分析,使用FFL反事实分解将消费的变化分解为构成效应和结构效应。研究发现2011年到2013年家庭消费的变化主要由结构效应解释,最后在此基础上提出了相应的政策建议。
Based on the data of China Health and Elderly Tracing Survey in 2011 and 2013, the article conducted regression analysis on the factors influencing household consumption of non-agricultural residents in China. The regression results of OLS regression were obtained by using the regression of conditional quantiles and unconditional quantiles Distribution of the regression results, and the impact of household consumption variables and related factors a comprehensive analysis of the use of FFL counterfactual decomposition of consumption changes into constituent effects and structural effects. The study finds that the changes of household consumption from 2011 to 2013 are mainly explained by the structural effects, and finally the corresponding policy suggestions are put forward.