居民收入影响因素的交叉随机效应模型分析—以云南省昆明市居民为例

Cross Random Effects Model Analysis for Residents’ Income Influence Factor—Data from Kunming

摘要: 基于世界银行2012年STEP住户调查数据，运用交叉随机效应模型，分析了在家庭和职业的交叉背景下，学历、个人性格、性别等对居民月收入的影响，并得出相应结论。结果表明，教育对居民的收入有正向影响，随着学历的提高，收入也会增加，而且职业高中比普通高中毕业的人收入更多；接受培训、外语水平、性格开放性等均对月收入有正向的促进作用；工作年限对月收入的影响非常小，甚至为负。最后，根据结论提出相关政策建议。

Abstract: Based on Family STEP Investigation which was carried out in Kunming by World Bank in 2012, this paper using Multilevel Crossed Random Effects Model analyzes the influence of character, education and gender on residents’ income under the cross background of family and occupation. Evidence indicates that educational background has positive effect on personal income and highly educated people have higher income. At the same time, vocational high school graduates have higher income than ordinary high school graduates. Training, foreign language and open character have positive effect on personal income and working-year has negative effect on personal income. At last, according to the result, some suggestions are put forward in the paper.