Talent Demand Forecasting Model with Practicability Based on the Theory of ARIMA

Abstract

The urban development depends on talents, meanwhile, different types of talent demand affects the development direction of a city. The actual talent demand is affected by many factors, and can reflect the economic capacity of a city to a certain extent. Our goal is to predict the potential talent demand of A-City in the next three years. First, we establish a multiple regression model and come to the conclusion that the relationship between talent demand and job demand is lineal and desired profession has a positive effect on talent demand while desired educational background has a negative effect on talent demand. Based on the above analysis results and the theory of ARIMA, we establish a talent demand forecasting model. Finally, we predict the talent demand and three factors of A-City in the next three years.