{"title":"An insight into Youth Unemployment in Indonesia","authors":"Ayuningtyas Yanindah","doi":"10.34123/icdsos.v2021i1.229","DOIUrl":null,"url":null,"abstract":"Youth unemployment in Indonesia has continued to remain at a high level relative to other age categories for several years. The case of Indonesia’s youth unemployment is grave with the presence of a low workforce participation rate, informal employment, and higher unemployment rates in young people compared with adults. Due to the lack of research on a country-wise view of youth unemployment, this study focuses on providing a much better understanding of the youth unemployment problem in emerging countries, especially Indonesia. The main aim of the paper is to bridge the research gap on youth unemployment with reference to microeconomic determinants, such as educational background and participation in training. This study utilized the August 2019 data of SAKERNAS (Survei Angkatan Kerja Nasional) and analyzed the data using the logistic regression method. Logistic regression is a special econometric model where the dependent variable is considered categorical and dichotomous (binary); in this case, it was unemployed (1) or working (0). The study found that training participation has a negative correlation with youth unemployment, while educational attainment generates mixed results.","PeriodicalId":151043,"journal":{"name":"Proceedings of The International Conference on Data Science and Official Statistics","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The International Conference on Data Science and Official Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34123/icdsos.v2021i1.229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Youth unemployment in Indonesia has continued to remain at a high level relative to other age categories for several years. The case of Indonesia’s youth unemployment is grave with the presence of a low workforce participation rate, informal employment, and higher unemployment rates in young people compared with adults. Due to the lack of research on a country-wise view of youth unemployment, this study focuses on providing a much better understanding of the youth unemployment problem in emerging countries, especially Indonesia. The main aim of the paper is to bridge the research gap on youth unemployment with reference to microeconomic determinants, such as educational background and participation in training. This study utilized the August 2019 data of SAKERNAS (Survei Angkatan Kerja Nasional) and analyzed the data using the logistic regression method. Logistic regression is a special econometric model where the dependent variable is considered categorical and dichotomous (binary); in this case, it was unemployed (1) or working (0). The study found that training participation has a negative correlation with youth unemployment, while educational attainment generates mixed results.
几年来,印度尼西亚的青年失业率相对于其他年龄类别继续保持在较高水平。印度尼西亚的青年失业情况严重,劳动力参与率低,非正规就业,年轻人的失业率高于成年人。由于缺乏从国家角度看待青年失业问题的研究,本研究的重点是更好地了解新兴国家(特别是印度尼西亚)的青年失业问题。本文的主要目的是通过参考微观经济决定因素,如教育背景和参与培训,弥合青年失业研究的差距。本研究利用SAKERNAS (Survei Angkatan Kerja Nasional) 2019年8月的数据,并使用逻辑回归方法对数据进行分析。逻辑回归是一种特殊的计量经济学模型,其中因变量被认为是分类和二分类的(二元);在本例中,为失业(1)或在职(0)。研究发现,参加培训与青年失业呈负相关,而受教育程度与青年失业的关系好坏参半。