Correspondence Analysis And Its Application In The Study Of Returns To Education

In the process of development of human society, and education plays an irreplaceable role. Especially rapid in science and technology, rapid economic development today, the importance of education for the people is well known. Generate human capital theory research prompted people to return to education, returns to education research has a very important significance, not only to reflect whether it is worth investing in education, and educational policy can be developed to provide a reference for the country, but also can reflect the configuration of such labor. Taking Hunan Province as an example, the use of data from the National Bureau of Statistics survey, mainly correspondence analysis and multiple linear regression and decision trees in return for the assistance, the education of urban residents return to study. The main work and research are below:(1) Corresponds to the theory outlined analysis. Including the definition of correspondence analysis, mathematical principles, advantages and disadvantages of using correspondence analysis.(2) The returns to education theories and factors of influence. Mainly on the theory of returns to education, and a detailed analysis of the factors affecting the return on education.(3) The relevant factors that affect the returns to education are analyzed for urban residents in Human Province, using SPSS17.0&R15.0to analyze the data and fitted model.(4) Studying the result of analysis, and getting the situation returns to education for urban residents in Hunan Province, and putting forward the corresponding improvement suggestions.In this paper, as a measure of the income of urban residents return to education standards, found that gender, age, education level, employment status and level of development of the region to urban residents, affecting their returns to education. The main conclusions are as follows:(1) In terms of gender and level of education, return to education for men are higher than women to urban residents, trends are same to education returns of men and women, with the return to education increased and decreased level of education, return to education of the course is the highest.(2) In terms of age,35-44years old returns to education for urban residents is the highest, followed by25-34years of age, the overall returns to education presents a trend of increase or decrease after the first.(3) In terms of employment, the own businesses that their returns is the highest, the state-owned economic units returns to education generally higher returns with lower types of noneconomic units.(4) In terms of regional, with changes in the level of economic development, education for urban residents change accordingly.