NEETs in Spain: an analysis in a context of economic crisis

Mut, Francesca Salvà; Tugores-Ques, María; Quintana-Murci, Elena

doi:10.1080/02601370.2017.1382016

Cited by 27 publications

(25 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Research focusing on individual socioeconomic conditions and family background shows that the NEET status is negatively correlated with the household's economic conditions (Mascherini, Salvatore, Meierkord, & Jungblut, 2012; Baron, Popova, & Sánchez, 2016; Noh & Lee, 2017; Alcázar, Balarin, Glave, & Rodríguez, 2019), parental education (Mascherini et al, 2012; Alfieri et al, 2015) and the number of employed individuals in the household (Székely & Karver, 2015; Susanli, 2016). In addition being female (Yates, Harris, Sabates, & Staff, 2011; Baron et al ., 2016; Wickremeratne & Dunusinghe, 2018; Alcázar et al ., 2019), having low educational attainment and/or dropped out of school (Mascherini et al ., 2012; OECD, 2015; De Hoyos, Rogers, & Székely, 2016; Salvà‐Mut, Tugores‐Ques, & Quintana‐Murci, 2018), marriage (Zudina, 2017; Favara & Sánchez, 2018) and having children (Alcázar et al ., 2019) are all positively associated with being a NEET. Interestingly, these results hold for both developed and developing countries.…”

Section: Not In Education Employment or Training: Conceptual Framewomentioning

confidence: 99%

NEETs in Latin America and the Caribbean: Skills, Aspirations, and Information

Alvarado

Conde

Novella

et al. 2020

J of Intl Development

View full text Add to dashboard Cite

This paper studies the role of cognitive skills, socioemotional skills, aspirations and expectations on the likelihood of being NEET (not in education, employment or training) using a novel sample of 15 to 24 year old residents of seven Latin American and Caribbean countries. After controlling for sociodemographic household conditions, we find that numeracy and literacy skills, core self‐evaluation, extraversion and educational aspirations are robust correlates of being NEET. We also find cross country heterogeneity. That is, in some countries, passion and perseverance for long‐term goals, neuroticism and labour market information biases are additional factors associated with being NEET. © 2020 John Wiley & Sons, Ltd.

show abstract

Section: Not In Education Employment or Training: Conceptual Framewomentioning

confidence: 99%

NEETs in Latin America and the Caribbean: Skills, Aspirations, and Information

Alvarado

Conde

Novella

et al. 2020

J of Intl Development

View full text Add to dashboard Cite

show abstract

“…There are several key factors associated with a higher probability of becoming a NEET. These include: personal characteristics, such as belonging to an older age group, being a female and/or being part of an ethnic and religious minority; low educational level or its poor quality in terms of provision; exclusion or suspension from school; migrant status; poor physical or mental health; disability; early marriage and early childbirth; having experienced unemployment; and, having unemployed friends (Caroleo et al, 2017;Basta et al, 2019;Quintano et al, 2018;Vancea & Utzet, 2018;Salvà-Mut et al, 2018;Ciccarelli & Fabrizi, 2017;Tamesberger & Bacher, 2014). The NEETs rate varies significantly across European countries (and sometimes also within the countries themselves), where identical personal characteristics can easily correspond to starkly different propensities to being NEET (Caroleo et al, 2020).…”

Section: Socio-economic Risk Factorsmentioning

confidence: 99%

Manual for the classification of intervention best-practices with rural NEETs

Bojnec¹,

Erdoğan²,

Fernandes‐Jesus³

et al. 2020

View full text Add to dashboard Cite

targeting rural NEETs. In my opinion, this is the most outstanding contribution of this manual, and also an original one, considering that to date no other efforts have been made with the intention of developing a grid of how to describe interventions dealing with rural NEETs. This manual offers, therefore, valuable contributions for upcoming research efforts within and beyond RNYN, including: (a) a complete methodological framework for future case stu-dies; (b) practical tools to conduct field research than can be combined with many different methodological approaches (qualitative, mixed-methods, etc.); and, (c) strategic criteria for conducting research in complex settings such as community-based programs. In addition, this manual sets the necessary conditions to present evidence-based conclusions about programs targeting rural NEETs, further aiding policy-makers to opt for solutions that clearly produce better results. This manual would not have been possible without the efforts and best knowledge from its editorial team. Therefore, as the Chair of RNYN, but also in a more personal note, I would like to thank Claudia Petrescu, Emre Erdogan and Paul Flynn for the impeccable and rigorous way in which they conducted all the process. I would also like to thank the Working Group 2 mem-bers traversing many countries who contributed to this document.

show abstract

“…Salva dan kawan-kawan di Spanyol melakukan analisis usia muda NEET di Spanyol dengan mengelompokkannya atas tiga kategori tipologi NEET utama saja dimana terkait dengan sikap 8 dan ketersediaan waktu terhadap pekerjaan 9 , yang dapat melihat karakteristik dan faktor-faktor penentu sesuai masing-masing subkelompoknya (Salvà-Mut et al, 2017). Hasilnya dapat membedakan rentan dan tidak rentan di antara sub kelompok NEET tersebut.…”

Section: = ℎunclassified

“…19 yang menurut proyeksi BPS pola migrasi seperti ini akan terus berlanjut di masa-masa yang akan datang berstatus kawin mempunyai 26,5 persen peluangnya untuk menjadi carers-cared dan berstatus sudah kawin tapi cerai sebesar 5,8 persen dibandingkan dengan status belum menikah. Besarnya peluang perempuan yang sudah menikah menjadi NEE yang tidak aktif atau carerscared di Indonesia dikarenakan adanya faktor budaya atau kepatuhan akan peran jender tradisional di daerah-daerah terutama daerah pedesaan sehingga menjadikan si ibu dituntut untuk mengurus keluarga, merawat anak (Salvà-Mut et al, 2017) dan tidak bekerja di luar rumah, sedangkan si ayah sebagai penyedia sumber dayanya (Sziraczki & Reerink, 2004). Sebaliknya status kawin memiliki peluang sebesar 3,5 dan 3,2 persen lebih rendah jika dibandingkan dengan status belum kawin untuk berubah menjadi kategori unemployed dan discourage dibandingkan dengan yang bukan NEE.…”

Section: Analisis Regresiunclassified

Keputusan Usia Muda Yang Tidak Bekerja Dan Tidak Terikat Pendidikan (Nee) Dan Karakteristiknya Di Indonesia

gaffari¹,

Handayani²

2019

View full text Add to dashboard Cite

Motivated from the employment report which reveals the still high percentage of NEE in Indonesia, using the IFLS5 data we conduct studies related to the impact of sosio-demographic characteristics and local indicators and labor markets on NEE young age. NEE is a heterogeneous population based on attitudes and time availability from a young age towards work (Salvà-Mut, Tugores-Ques, Quintana-Murci, 2017) so that grouping can capture patterns of vulnerability and young age transition decisions to the labor market which is produce appropriate recommendations. The estimation results indicate that NEE carers-cared have characteristics as young women, low education, married status and come from underprivileged backgrounds and tend to be in rural areas with high local unemployment rates. While NEE unemployed is also characterized by young age, but the dominant of men with unmarried status and education is higher than non-NEE, besides it tends to be in urban areas and is influenced by high local unemployment rates. However, it is different from the previous categories, although NEE discourage is also young, male dominated and education level is low. But this category is not affected by regional indicators and the local labor market, due to their lack of perceptions and attitudes towards work. Termotivasi dari laporan ketenagakerjaan yang mengungkapkan masih tingginya persentase NEE di Indonesia, maka dengan menggunakan data IFLS5 kami melakukan kajian terkait dampak karakteristik-karakteristik individu, pendidikan, latar belakang keluarga dan indikator wilayah dan pasar kerja lokal terhadap usia muda yang NEE. Kami tertarik untuk meneliti NEE sebagai populasi yang heterogen dengan cara mengelompokkannya berdasarkan atas sikap dan ketersediaan waktu dari usia muda terhadap pekerjaan (SalvÃ -Mut, Tugores-Ques, Quintana-Murci, 2017), agar dapat menangkap pola kerentanan dan keputusan transisi usia muda ke pasar kerja sehingga dapat dihasilkan rekomendasi kebijakan yang tepat. Hasil estimasi menunjukkan bahwa NEE carers-cared mempunyai karakteristik sebagai perempuan yang berusia muda, tingkat pendidikan rendah, berstatus sudah menikah dan berasal dari latar belakang keluarga yang kurang beruntung terkait ekonomi dan cenderung di pedesaan dengan tingkat pengangguran lokal yang tinggi. Sedangkan NEE unemployed juga mempunyai karakteristik berusia muda, tapi dominan berjenis kelamin laki-laki dengan status belum menikah dan tingkat pendidikan lebih tinggi dibandingkan dengan bukan NEE, selain itu kategori ini cenderung di perkotaan dan juga dipengaruhi oleh tingkat pengangguran lokal yang tinggi. Namun berbeda dengan dua kategori sebelumnya, walaupun discourage juga cenderung berusia muda, berjenis kelamin laki-laki dan tingkat pendidikan rendah, tapi usia muda ini tidak terpengaruh oleh indikator wilayah dan pasar kerja lokal. Hal ini dikarenakan kurangnya persepsi dan sikap terhadap pekerjaan.

show abstract

NEETs in Spain: an analysis in a context of economic crisis

Cited by 27 publications

References 18 publications

NEETs in Latin America and the Caribbean: Skills, Aspirations, and Information

NEETs in Latin America and the Caribbean: Skills, Aspirations, and Information

Manual for the classification of intervention best-practices with rural NEETs

Keputusan Usia Muda Yang Tidak Bekerja Dan Tidak Terikat Pendidikan (Nee) Dan Karakteristiknya Di Indonesia

Contact Info

Product

Resources

About