(A) study on performance of economics graduate students, Korea University : who is a good human capital in graduate school?

다국어 초록 (Multilingual Abstract)

The purpose of this investigation is to do determine a prediction model for selecting graduate students in economics area. Although economic graduate course in South Korea is similar to the one in Britain and the United States, little attention has been given to examine a student performance. Athey, Katz, Krueger, Levitt and Poterba(2007), who studied a research on economics graduate school of the United States, even said that economists devote considerable effort to graduate students education but have conducted relatively little research on the determinants of student performance or placement in the job market. As the authors' opinion, a study on performance of graduate students should be an important and urgent problem. But this paper is not concerned here with the determinants of student performance in labor market, the study will be supplemented by previous studied in section Ⅱ.
The main objectives of this study were : firstly, to do a study on human capital in economics, secondly, to do a study on a group of the highest education level, and thirdly, to do a prediction on graduate students performance using pre-admission data of applicants.
By analyzing this paper, we examine the sequentiality between economics required subjects of undergraduate and graduate course. And the paper can be concerned with what factors have an effect on economic graduate performance. It is important for selection process of pre-admission to cultivate outstanding scholars in graduate school. Hence, the results are expected to help screening graduate students in admissions committee.

목차 (Table of Contents)

• CONTENTS
• Ⅰ. INTRODUCTION 1
• Ⅱ. LITERATURE REVIEW 3
• Ⅲ. DATA & DESCRIPTIONS 6
• 1. Information on Rankings 6
• 2. Pre-works for Analysis 8
• 3. Summary Statistics 10 4. Characteristics over Admission Years 12
• 5. Predictive Power of and Compare Results 17
• Ⅳ. ECONOMETRICS METHODS 19
• 1. Control Function Approaches for Efficiency Gains 20
• 2. Test Statistics 22
• Ⅴ. EMPIRICAL RESULTS 23
• 1. Empirical Results 1 23
• 2. Empirical Results 2 34
• Ⅵ. SUMMARY & CONCLUSION 37
• Ⅶ. REFERENCE 39
• Ⅷ. APPENDIX 43