Influence of Education on Labor Income of Urban and Rural Residents Based on Quantile Regression
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With the development of economy, the labor income of urban and rural residents in China has increased, but there is still a gap between the income of urban and rural residents. Therefore, the factors that affect the labor income of urban and rural residents need us to conduct research.This paper uses data from the 2015 Chinese General Social Survey to examine the impact of the individual's education on this variable, and uses a quantile regression model to work on urban and rural residents at the five quantiles of 0.1, 0.25, 0.5, 0.75, and 0.9. Analysis of the factors affecting income,the differences in the factors affecting labor income of urban and rural residents at each quantile are compared.The empirical results show that for urban residents and rural residents, the variable of education also has a very significant positive effect at the selected five quantiles. For low-income people, increased education can lead to more income growth;The age variable has a significant negative effect at the five quintiles selected; gender, health status, and hukou status have significant positive effects at different quantiles; marital status is only in the 0.5 quintile has a significant positive impact;For the number of underage children in the family, this variable has a significant positive effect only at the 0.5, 0.75, and 0.9 cents.
Quantile regression; Labor income; Difference between urban and rural