{"title":"Being poor and being NEET in Europe: Are these two sides of the same coin?","authors":"Chiara Mussida, Dario Sciulli","doi":"10.1007/s10888-022-09561-7","DOIUrl":null,"url":null,"abstract":"<p><p>We implement a dynamic bivariate probit model to explore the possible relation between at-risk-of-poverty and NEET (Not in Employment, Education or Training) in 21 European countries using 2016-2019 European Union Statistics on Income and Living Conditions panel data. We identify genuine state dependence and account for possible feedback effects from past poverty to the NEET status. We also consider two alternative definitions of NEET, i.e. unemployed and inactive NEET and inactive NEET only. We find that both poverty and NEET are characterized by significant genuine state dependence. We also observe a vicious circle between the phenomena, especially when adopting the definition that includes unemployed and inactive NEETs. This suggests a leading role of unemployment in the detrimental effect of being NEET on poverty. We offer supplementary analyses and further insights on country heterogeneity by looking at the role of social protection expenditure. Finally, we stress that for young NEETS living outside of the family of origin, the NEET condition is not detrimental for poverty, conditional on the provision of adequate youth support.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s10888-022-09561-7.</p>","PeriodicalId":51559,"journal":{"name":"Journal of Economic Inequality","volume":" ","pages":"1-20"},"PeriodicalIF":3.6000,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823250/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic Inequality","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s10888-022-09561-7","RegionNum":3,"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
We implement a dynamic bivariate probit model to explore the possible relation between at-risk-of-poverty and NEET (Not in Employment, Education or Training) in 21 European countries using 2016-2019 European Union Statistics on Income and Living Conditions panel data. We identify genuine state dependence and account for possible feedback effects from past poverty to the NEET status. We also consider two alternative definitions of NEET, i.e. unemployed and inactive NEET and inactive NEET only. We find that both poverty and NEET are characterized by significant genuine state dependence. We also observe a vicious circle between the phenomena, especially when adopting the definition that includes unemployed and inactive NEETs. This suggests a leading role of unemployment in the detrimental effect of being NEET on poverty. We offer supplementary analyses and further insights on country heterogeneity by looking at the role of social protection expenditure. Finally, we stress that for young NEETS living outside of the family of origin, the NEET condition is not detrimental for poverty, conditional on the provision of adequate youth support.
Supplementary information: The online version contains supplementary material available at 10.1007/s10888-022-09561-7.
期刊介绍:
The Journal of Economic Inequality provides a forum for analysis of ''economic inequality'', broadly defined. Its scope includes: · Theoretical and empirical analysis· Monetary measures of ''well-being'' such as earnings, income, consumption, and wealth; non-monetary measures such as educational achievement and health and health care; multidimensional measures· Inequality and poverty within and between countries, and globally, and their trends over time· Inequalities of opportunity· Income mobility and poverty persistence· The factor distribution of income· Differences in ''well-being'' between socioeconomic groups, for example between men and women, generations, or ethnic groups· The effects of inequality on macroeconomic and other phenomena, and vice versa· Related statistical methods and data issues · Related policy analysis Papers need to prioritize the ''economic inequality'' dimension. For example, papers about trade and inequality, or inequality and growth, should not primarily be about trade or growth (in which case they should target a different journal). The same is true for papers considering the inter-relationships between the income distribution and the labour market, public policy, or demography.
Officially cited as: J Econ Inequal