Emma Aguila, Nelly Mejía, Francisco Pérez, Alfonso Rivera, Edgar Ramírez
{"title":"POBREZA Y VULNERABILIDAD EN MÉXICO: EL CASO DE LOS JÓVENES QUE NO ESTUDIAN NI TRABAJAN.","authors":"Emma Aguila, Nelly Mejía, Francisco Pérez, Alfonso Rivera, Edgar Ramírez","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Recently, the phenomenon of young people not in education, employment or training (NEET) has come to the fore due to the risks associated to this situation. The contribution of this paper is in its analysis of this population's composition, dynamics, poverty patterns, individual and family characteristics, as well as projections for 2030. In addition, we propose a classification for NEET's that could be used for the design of public policies and that was used to identify that this population will tend to decreased due to the proportion of women who study and join the labor force and that, in the future, the unemployed will outnumber other groups.</p>","PeriodicalId":90823,"journal":{"name":"Estudios economicos (Mexico City, Mexico)","volume":"30 1","pages":"3-49"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4409139/pdf/nihms668946.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Estudios economicos (Mexico City, Mexico)","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Recently, the phenomenon of young people not in education, employment or training (NEET) has come to the fore due to the risks associated to this situation. The contribution of this paper is in its analysis of this population's composition, dynamics, poverty patterns, individual and family characteristics, as well as projections for 2030. In addition, we propose a classification for NEET's that could be used for the design of public policies and that was used to identify that this population will tend to decreased due to the proportion of women who study and join the labor force and that, in the future, the unemployed will outnumber other groups.