T. Mulyaningsih, Dhian Adhitya, Amelia Choya Tia Rosalia
{"title":"印度尼西亚的教育、技能和劳动力市场结果:工具变量方法","authors":"T. Mulyaningsih, Dhian Adhitya, Amelia Choya Tia Rosalia","doi":"10.20885/ejem.vol13.iss2.art6","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":41472,"journal":{"name":"Economic Journal of Emerging Markets","volume":"186 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Education, skills and labour market outcome in Indonesia: An instrumental variable approach\",\"authors\":\"T. Mulyaningsih, Dhian Adhitya, Amelia Choya Tia Rosalia\",\"doi\":\"10.20885/ejem.vol13.iss2.art6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":41472,\"journal\":{\"name\":\"Economic Journal of Emerging Markets\",\"volume\":\"186 1\",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Journal of Emerging Markets\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20885/ejem.vol13.iss2.art6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Journal of Emerging Markets","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20885/ejem.vol13.iss2.art6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
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.