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4 ～ 2015

学年 秋季学期研究生课程考试

课程名称： Econometrics

论文题目（Title）:

研究生姓名(Name): Hoang Thi Lan Huong 学号(ID): 14760006

研究生班级： 留学生班

成 绩: 任课教师: 叶明确

评阅日期: 1. Introduction (Background and Purpose)

The data use for this paper was constructed in the following way. The data are drawn from the OPE Campus Safety and Security Statistics website database to which crime statistics (as of the 2010 data collection) are submitted annually, via a web-based data collection, by all postsecondary institutions that receive Title IV funding (i.e., those that participate in federal student aid programs). This data collection is required by the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Higher Education Opportunity Act. The outcome of this process was that the enrolments is not influenced significantly by the price or living conditions of the campus. When reading some articles I was personally very surprised about this since normally the living conditions should be influent more than the other factors in the enrolments. Based on this, I was very interested which other factors influence to students’ decisions. That is why I chose this dataset to analyze for the final term paper in the course of econometrics.

2. Multiple regressions

2.1 Data source

The numerous data used in this paper (reference see below), consists of observations on six variables. The variables are: • enroll • priv = private collage • police • crime

2.2 Model specification

At the first place it is necessary to run a regression with all variables:

[pic]

In the first step the variable priv is removed, because according to the t-test it has a low significance. In that case, this means that priv is not significant at the 10% level.

[pic]

In this decision...

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