{"title":"Sobreeducacion en el mercado laboral chileno","authors":"Daniel Ramírez","doi":"10.4067/S0718-88702019000100051","DOIUrl":null,"url":null,"abstract":"The research investigates the impact of over-education in the Chilean workforce, using data from the PIAAC and CASEN surveys from 2003 to 2015. The results show that on average 37% of workers with higher education are classified as “over-educated” in the period 2003-2015. In addition, the majority of this “over-educated people” come from private universities and perform in technical, administrative and legislative jobs. I also use the 2015 CASEN survey to analyze the probability of being over-educated. The results show that workers with a technical or non-traditional degree in professional education institutes and private universities are those who are more likely to be considered “over-educated”. Moreover, I implemented a propensity score matching methodology using the CASEN survey 2015 to study the impact of over-education on wages and on-the-job training. The results suggest a negative impact of over-education on wages.","PeriodicalId":38640,"journal":{"name":"Revista de Analisis Economico","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista de Analisis Economico","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4067/S0718-88702019000100051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 5
Abstract
The research investigates the impact of over-education in the Chilean workforce, using data from the PIAAC and CASEN surveys from 2003 to 2015. The results show that on average 37% of workers with higher education are classified as “over-educated” in the period 2003-2015. In addition, the majority of this “over-educated people” come from private universities and perform in technical, administrative and legislative jobs. I also use the 2015 CASEN survey to analyze the probability of being over-educated. The results show that workers with a technical or non-traditional degree in professional education institutes and private universities are those who are more likely to be considered “over-educated”. Moreover, I implemented a propensity score matching methodology using the CASEN survey 2015 to study the impact of over-education on wages and on-the-job training. The results suggest a negative impact of over-education on wages.