NEET in Turkey: A Typology Including Jobless Youths, Parental Education and Employment Status as Determinants

Autor/inn/en	Yi?gi?t, Büsra; Çakmak, B. Yasin; Çakmak, Eyüp Ensar
Titel	NEET in Turkey: A Typology Including Jobless Youths, Parental Education and Employment Status as Determinants
Quelle	In: Education & Training, 65 (2023) 5, S.731-748 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Yi?gi?t, Büsra) ORCID (Çakmak, B. Yasin) ORCID (Çakmak, Eyüp Ensar)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0040-0912
DOI	10.1108/ET-01-2023-0005
Schlagwörter	Foreign Countries; Out of School Youth; Parent Background; Educational Attainment; Employment Level; Family Role; Welfare Services; Public Policy; Adolescents; Young Adults; Unemployment; Marital Status; At Risk Persons; Compulsory Education; Relationship; Turkey + Suchen Sie Ihr Suchwort? Ausland; Elternhaus; Bildungsabschluss; Bildungsgut; Beschäftigungsgrad; Fürsorgeeinrichtung; Öffentliche Ordnung; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Young adult; Junger Erwachsener; Arbeitslosigkeit; Familienstand; Risikogruppe; Schulpflicht; Wechselbeziehung; Türkei
Abstract	Purpose: The purpose of this study is to improve understanding of the role of the family as NEET determinants in a country with free education in a Mediterranean or Southern European welfare state, so that the authors can contribute to policy recommendations and offer suggestions for future studies. Design/methodology/approach: The authors used TurkStat (2021) household workforce statistics microdata (TurkStat permit number 10484) for multinomial logistic regression. These microdata are the most detailed data representation of all households in Turkey in 2021, representing all household members (n = 635.159) and young people aged 15-24 years (n = 88.974) in Turkey. Of the data on youth, those not in education or employment constituted the NEET sample (n = 21,729). The authors also used the 2014-2020 household workforce statistics microdata (TurkStat permit number 3188) to explain the proportional changes between the status of NEETs in past years and today. Findings: The age factor (20-24) and long-term unemployment in men and marital status (for married and divorced) in women are of critical importance for the risk of being NEET. Compulsory education is the most influential factor in reducing the risk of NEET for both genders. The estimations of logistic regression models showed significantly that the increase in the education level of parents decreased the probability of NEET in the household. In particular, the gains of mothers after compulsory education (university, postgraduate education) increased the probability of young people in the household being NEET compared to the education levels of fathers. Originality/value: The authors make two contributions with this study. First, the authors discuss current microdata and NEET determinants in Turkey, which is the subject of limited research and has one of the highest rates of NEET in the 15-29-years age category (28.7%) in the OECD (2021). Second, the authors are the first to examine parental education or employment for NEETs in Turkey. Findings from the study allow comparison of Turkey and southern European welfare regime countries and fill the gap in the literature on NEET and parent relationship in Turkey with a strong and up-to-date dataset. (As Provided).
Anmerkungen	Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01