ECONOMIC ANALYSIS INTO THE DEMMAND FOR HIGHER EDUCATION

在本研究中，从分析与教育有关的各种经济现象的角度，报告了我们与高等教育需求分析有关的结果。本报告分为四章。首先，在第一章中，对所谓“教育经济学”研究领域的基本问题进行了概述。指出了教育投资收益率、筛选假设和教育外部效应三个概念存在的问题。指出了经济学家在分析教育与经济的关系时应发挥的作用。其次，在第二章中，运用R。弗里曼该模型由三个估计方程组成，其中新生人数、应届毕业生人数和起薪分别为因变量。我们获得了统计学上显著的结果。第三章在日本劳动力市场上检验了关于教育（或学校教育）与工资收入之间关系的筛选假说的有效性。最后，在第四章中，利用日本私立大学的数据，构建了一个与高等教育服务市场相关的供求模型。作为解释变量的招生人数、生均经费、教师人均学生数、考试费收入、学校场地、藏书量分别是显著的决定因素。此外，它还计算了每个解释变量的长期价格（学费）弹性。

In this study, from the viewpoint of analyzing the various economic phenomena concerning the education, it is reporting our results having to do with the analysis of the demand for higher education. This report separates into four chapters. First, in chapter 1, it is surveying the basic problems about the study field of so-called "the economics of education". It points out the problems concerning the three concepts, I.e. the rate of return for investment in education, the screening hypothesis and the external effect of the education. Also, it points out the role which the economist should accomplish in analyzing the relationship between education and economy. Next, in chapter 2, it is analyzing the newly graduates labor market using the model of R. Freeman. This model consists of the three estimating equations, in which the numbers of freshmen, the numbers of newly graduates and the starting salaries are the dependent variables, respectively. We obtained the statistically significant results. In chapter 3, it examines the validity of the screening hypothesis about the relation between the education(or the schooling) and the wage income in a Japanese labor market. Some of our four working hypotheses support a screening hypothesis.Lastly, in chapter 4, it shows a demand and supply model related to the higher education service market using the data of the private universities in Japan. As the explanation variables, the number of enrollment, current outlay per student, the number of the students per teacher, the examination fee income, the school ground, and the number of the collections of books are the significant decision factors, respectively. Also, it is computing the long-run price (the tuition) elasticities of each explanation variables.