• Journal of Labour Economics
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• v.28 no.2
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• pp.1-27
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• 2005

This study intends to analyze outcomes in labor market of students who graduated from provincial colleges. And For this aim, this study used 'Youth Panel Data' (2001, 2002) of HRD Korea Work Information Center. The reference groups are students who graduated from capital region colleges. The main results of this study are as follows. Students who graduated from provincial colleges have difficulty in acquiring job information than capital region college graduates. And students who graduated from provincial colleges get first job in smaller firm than capital region college graduates. The monthly wage level of students who graduated from provincial colleges is less than that of capital region college graduates. And the outcomes in labor market of students who graduated from Chungcheong region colleges are better than those of students who graduated from Yeongnam region and Honam region colleges. As results of this study show, there are differences between provincial college graduates and capital region college graduates. And there are differences between Chungcheong region college graduates and another region (namely, Yeongnam region and Honam region) college graduates.

• Journal of Labour Economics
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• v.32 no.1
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• pp.31-56
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• 2009

This paper analyzes the determinants of the employment status of the NURI-project-teams' college and university graduates in Busan area. The major results are as follows: First, education level, household income, grade point average and certificate turn out to be significant variables to decide employment or spell of unemployment. Second, parents' education level, household income, the size of project team, the firm size are shown to affect employment in Busan. In particular, the bigger the firm is, the probability of getting job in Busan is getting smaller. And there are two sides of provincial university graduates' moving into the Metropolitan area; the voluntary move and the involuntary move. Third, sex., education level, major, grade point average, the size of project team etc, are found to be significant determinants of wage level.