Mathematical Model And Its Forecast Of China's Employment

Employment is one of the most important parts in the national economy. So establishing the mathematical model of the employment population is in favor of adjusting the policy and improving employment.First of all, acting on the principles of the economics,we chose the primary indexes,then we get on to the bivariate correlation analysis. In order to get the main indexes,we use the step regression.In addition according to the principles of the minimum sum of squares between the sample value and the true value,we use the ways of linear regression and nonlinear regression to fitting the data yearly and monthly,establishing the model of the town employment population.On the base of the above,we perfect the article by creating the model which is classified by industry,education,region and so on.Finally,at the stage of prediction,we use the grey model in predicting the index value and also assistant the prediction of the employment population model. In the article,we use the statistics software SPSS in contrasting and analysis the result.This article has made the prediction of the future employment population.By contrasting the predict value with the true value,we found that they have not large difference.So this model have a certain usefulness.But the complexity of the problem,the model need some improvement.For example,we have not analysised the correlation of the indexes;when we are fitting the function,we chose the common function as a matter of convenience. Both of them can cause some deviation in the result.