Analysis on Affected Factors of Employment in Wuhan City Based on Vector-Auto-Regression

The development and progress of cities cannot be separated from talents. It is well-known that a series of policies such as 20% off college students' purchases and graduation certificates were occurred in Wuhan City from the year of 2017, which is especially significant to measure and quantify the impact of these related policies in the next few years. Based on this, we select the variables such as urban employment, total GDP, total real estate investment and graduates from 1990 to 2016 about Wuhan City. Then the Vector-Auto-Regression (VAR) model was established; furthermore, the impulse response function and variance decomposition were used to analyze the impact of the other three variables on employment. The results showed that the gross output of Wuhan and the number of graduates of the university were positive for the employment, and the number of graduates changed from the long run, which can explain 18.19% of the change in employment..