{"title":"“NEET status duration and socio-economic background”","authors":"Elena Fabrizi , Antonella Rocca","doi":"10.1016/j.seps.2024.101986","DOIUrl":null,"url":null,"abstract":"<div><p>NEET refers to young people who are not in employment, education or training. It can occur in a variety of situations and requires attention, especially if it tends to persist over time. Indeed, individuals who leave education and enter the labor market looking for a job are classified as NEET. While in the majority of cases they tend to move into employment status within a short period of time, in others they remain in this status for longer, with negative consequences for their future career or never enter the labor market. Although the scarring effect of longer spells outside the labor market (for unemployment or inactivity) is well known in the economic literature, empirical evidence on this topic are very limited due to the lack of adequate data needed for this analysis.</p><p>This article aims to fill this gap in the literature and is finalized to verify the influence exerted by the socio-economic background of individuals on the likelihood of becoming and remaining for a long time NEET, according to different levels of education. The analysis is based on AD-SILC dataset, obtained by matching the EU-SILC data with the administrative archives of the INPS, the National Institute for Social Security. Our results reveal that individuals with the same level of educational attainment, but from a higher socio-economic status, have a significantly shorter duration in the NEET condition and a higher probability of transitioning to employment. Conversely, individuals with the same level of education show no significant effects if they come from a low socio-economic background.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":null,"pages":null},"PeriodicalIF":6.2000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S003801212400185X/pdfft?md5=57fe4fcd6b55ae2acecb5d362ee840a4&pid=1-s2.0-S003801212400185X-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S003801212400185X","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
NEET refers to young people who are not in employment, education or training. It can occur in a variety of situations and requires attention, especially if it tends to persist over time. Indeed, individuals who leave education and enter the labor market looking for a job are classified as NEET. While in the majority of cases they tend to move into employment status within a short period of time, in others they remain in this status for longer, with negative consequences for their future career or never enter the labor market. Although the scarring effect of longer spells outside the labor market (for unemployment or inactivity) is well known in the economic literature, empirical evidence on this topic are very limited due to the lack of adequate data needed for this analysis.
This article aims to fill this gap in the literature and is finalized to verify the influence exerted by the socio-economic background of individuals on the likelihood of becoming and remaining for a long time NEET, according to different levels of education. The analysis is based on AD-SILC dataset, obtained by matching the EU-SILC data with the administrative archives of the INPS, the National Institute for Social Security. Our results reveal that individuals with the same level of educational attainment, but from a higher socio-economic status, have a significantly shorter duration in the NEET condition and a higher probability of transitioning to employment. Conversely, individuals with the same level of education show no significant effects if they come from a low socio-economic background.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.