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Design And Study Of The Model About The Number Of College Enrollment

Posted on:2012-09-08Degree:MasterType:Thesis
Country:ChinaCandidate:X L WangFull Text:PDF
GTID:2167330332994873Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
Education has been referred to an unprecedented height, various circles of society are aware of the importance of education, having focus on education, investment in education, making the vigorous development of China's educational undertakings. State governments increased expenditure on education to help the cause of education. Education is the foundation of the development of the society. National prosperity lies. National economic prosperity is inseparable from education to flourish. Especially in the past two years, higher education became the focus of attention, enrollment in full swing for the current situation. How much chance does a college candidate have to get into the door for higher studies? Now what is the number of college enrollment? What will be the change in next few years? These issues are affected by many factors.This topic,from our current education career development situation, based on the background of higher school, starting from the colleges and universities,research the number of schools colleges and universities, the number of faculty, students in the number of graduates and high school enrollment rate, the state expenditure on education colleges and universities in China such as the total number of admissions. It estimates and predicates the situation of current enrollment by using econometric methods, and the help of econometric software Eviews, colleges and universities by 1989-2008 enrollment.First of all, each of the selected model, that colleges and universities in enrollment and the number of students and the relationship between high school enrollment rate model, based on 1989 to 2008 data, was made theleast squares estimate and estimate the model. Secondly, we make a series of econometric analysis on the obtained model, including interpretation of the model multicollinearity between variables tested, type of random error between the model heteroscedasticity and serial correlation tests, and the problem of random explanatory variables and the discussion of distributed lag issues, and problems in application for the appropriate method to resolve the problem corrected, and then get the desired results. Finally, the 2008 data is forecasted, and we got ideal result.
Keywords/Search Tags:sample data, theoretical model, multicollinearity, heteroscedasticity, model prediction, distributed lag model, random explanatory variables, serial correlation
PDF Full Text Request
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