印度尼西亚的教育、技能和劳动力市场结果:工具变量方法

T. Mulyaningsih, Dhian Adhitya, Amelia Choya Tia Rosalia
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引用次数: 1

摘要

目的-本研究考察学校教育和技能对收入的贡献。重要的是,这项研究抓住了观察与人格特质相关的认知技能和非认知技能在决定收入方面的重要性。方法:修正后的Mincer模型作为理论框架来解释学校教育和技能对收入的贡献。利用印度尼西亚家庭生活调查(IFLS)的第五波印度尼西亚劳动力数据,采用两阶段最小二乘法来衡量学校教育,认知和非认知技能对收入的影响。研究结果-研究结果表明,教育和技能,包括认知和人格特征,决定了劳动力市场的结果。此外,教育与收入之间的关系是非线性的,这表明教育的回报在不同的教育水平上是不同的。含义-该政策应以提高知识、认知和非认知能力为目标,以加强人力资本,协助学生充分发挥潜能。独创性-本研究通过测量不可观察的认知技能和非认知技能对发展中国家收入的影响,为文献做出了贡献,这在以前的研究中是没有的。本文还利用2阶段最小二乘法的工具变量方法来处理基本Mincer模型中的遗漏变量偏差和内生性问题。
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Education, skills and labour market outcome in Indonesia: An instrumental variable approach
Purpose -  This study examines the contribution of schooling and skills to earnings. Importantly, this study captures the importance of observing cognitive skills and non-cognitive skills associated with personality traits in determining earnings. Methods -  A revised Mincer Model serves as a theoretical framework to explain the contribution of schooling and skills to earnings. Using the Indonesian labour data from the 5 th wave of Indonesian Family Life Survey (IFLS), the 2-Stage Least Squares is employed to measure the effects of schooling, cognitive and non-cognitive skills on earnings. Findings -  The results show that schooling and skills, both cognitive and personality traits determine the labour market outcomes. In addition, the relationship between education and earning is nonlinear, suggesting that the returns on education varied across education levels. Implication -  The policy should aim to enhance human capital by improving knowledge, cognitive and non-cognitive capacities to assist students in achieving their full potentials. Originality -  This study contributes to the literature by measuring the effects of unobservable cognitive skills and non-cognitive skills on earnings in developing countries absent in the previous studies. This study also utilizes the instrumental variable approach of 2-Stage Least Squares to deal with omitted variable bias and the endogeneity problem in the basic Mincer model.
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来源期刊
自引率
20.00%
发文量
21
审稿时长
12 weeks
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