• Title/Summary/Keyword: Coarsened Exact Matching (CEM)

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The Effects of Career Experiential Learning: Career Maturity and Academic Achievement in Korea (진로체험의 효과: 진로성숙도와 학업성취도)

  • Kim, Ki Hun;Yoo, Hong Joon;Oh, Byeongdon
    • Journal of vocational education research
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    • v.33 no.3
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    • pp.19-36
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    • 2014
  • Introducing the Coarsened Exact Matching(CEM), this study evaluates the effect of career experiential learning on career maturity and academic achievement among Korean adolescents. To guarantee the randomness between the students who has had career experiential learning and the others who has not, we process the raw data through the CEM before the regression analysis. According to the result, the efficacy of the career experiential learning on students' career maturity and their academic achievement still remains statistically significant even after the CEM. This positive significance of career experiential learning is consistent for both high school students and middle school students. Furthermore, direct experiential learning is more efficient than indirect experiential learning to improve career maturity of the students. These results implied that academic ability, as well as, career maturity could be developed by career experiential learning. While emphasizing the importance of career experiential learning for Korean adolescent, we also discuss the social implications of this study to encourage career education and its limitations.

The Moderating Effect of Self-rated Health on the Association between Grandparenting and Depressive Symptoms among Grandparents (손자녀 양육이 조부모의 우울감에 미치는 영향에 대한 주관적 건강상태의 조절효과)

  • Song, Si Young;Jun, Hey Jung;Joo, Susanna
    • 한국노년학
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    • v.40 no.3
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    • pp.459-475
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    • 2020
  • This study examined the moderating effect self-rated health has on the association between grandparenting and depressive symptoms. The fourth wave (in 2012) of the Korean Longitudinal Study of Ageing (KLoSA) was used for the analyses (N=650). The Coarsened Exact Matching (CEM) method was applied in order to ensure randomness in the selection of grandparents who participated in grandparenting and those who did not. The dependent variable was depressive symptoms, the independent variable was grandparenting, and the moderating variable was self-rated health. Control variables were education level, age, household income, gender, marital status and life satisfaction. After matching data by CEM, weighted multiple regression was applied with STATA 13.0. Also, simple slope analysis and region of significance were performed to interpret the interaction terms. The results showed that self-rated health had a significant moderating effect. Specifically, for grandparents with high self-rated health, grandparenting was associated with a lower level of depressive symptoms. On the contrary, for grandparents with low self-rated health, there was no difference depending on whether they participated in raising grandchildren. Based on these results, we discussed the need for consideration of self-rated health for grandparents who participated in grandparenting.

Wage Differentials between Regular and Irregular Workers (데이터 매칭을 이용한 비정규직의 임금격차 분석)

  • Kim, Sunae;Kim, Jinyoung
    • Journal of Labour Economics
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    • v.34 no.2
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    • pp.53-77
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    • 2011
  • The last decade has witnessed a surge of research interest in differences between regular and irregular workers in employment forms. Recent studies on estimating wage differentials between the two types of workers in employment forms have typically used the linear regression analysis. Our study utilizes a new methodology to estimate wage differentials between the two types of workers: data matching. Our method can perform better than the ordinary regression analysis because it carefully addresses the selection bias problem. Our results indicate that there is no significant difference in wage between regular and irregular workers.

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