서강대학교

초록/요약

This paper is about a panel analysis that was conducted to find out the effects of the KSAT(Korean Scholastic Ability Test) score and experience on wage, based on KLIPS (1st∼10th) data provided by the KLI(Korea Labor Institute). Previous research has only focused on cross section analysis, but this research uses 10 years of investigation in the labor panel. Before conducting a panel analysis of experience and KSAT scores, this research examined the effects of experience and KSAT scores on wage through a cross section analysis. Three regression equations were created for the cross section analysis. An analysis was made into whether two variables affect wage when the KSAT score is controlled using interaction terms multiplying KSAT scores by teaching years in the educational period and in experience variables. According to results of regression equations reflecting KSAT scores and experience variables, as the KSAT score increased, wage increased 13.9% (male wage was 28.5% higher than female wage) in the overall pooled model even though there were slight differences for each investigated year. Years of education also directly affected wage increases, showing that a longer educational period increased wage 9.2%. On the other hand, a longer experience period contributed to a wage decrease. This is because KLIPS analyzed the KSAT scores of workers 30 years or younger in 2002. That is, those workers with longer experience periods were more likely to be high school graduates. Those who graduated from four-year universities have a longer educational period, which means that their experience period was shorter. University graduates have a shorter experience period but a higher wage. As for the second cross section, the interaction terms of multiplying years of education by KSAT scores was analyzed to find out effects of educational period on wage when the KSAT score is controlled. However, the results were not significant except for the 2007 data (KLIPS 10thdata). As for the third cross section, the interaction terms of multiplying experience by KSAT scores was analyzed to find out the effects of experience on wage when the KSAT score is controlled, but the result didn’t prove that experience affected differences in wage. Finally, since the KSAT score is a fixed variable, experience was multiplied to prevent it from disappearing from the fixed effect model. After the house was examined alone to find out the appropriateness of the fixed effect model and the random effect model, it was found that the fixed effect model was more appropriate than the random effect model. According to the results of panel analysis, the longer a experience period is, the higher the wage is. The variable multiplying KSAT scores by experience increased the wage 0.1% but was not significant. Given the analysis results, since the KSAT score is a fixed grade of a certain moment, it disappeared from the fixed effect model and the relevant result was not clear. However, a longer experience period led to 8.9% of wage increase. Unfortunately, data about the investigated group was insufficient and a more accurate analysis was not conducted.