Methods to Estimate the Structure and Size of the “Neet” Youth

Bălan, Mariana

doi:10.1016/s2212-5671(15)01372-6

Cited by 20 publications

(10 citation statements)

References 4 publications

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“…Tingginya tingkat pengangguran maupun NEET dapat menyebabkan konsekuensi baik pada level individu maupun masyarakat, dalam jangka pendek maupun jangka panjang. Konsekuensi atau akibat ini dapat berupa isolasi secara finansial maupun sosial, kemiskinan dan degradasi fisik (Bălan, 2015). Penelitian yang dilakukan Feng et al (2015) di Scotlandia, menemukan bahwa NEET pada usia muda memiliki resiko 2,8 kali lebih besar untuk menganggur atau tidak aktif secara ekonomi 10 tahun kemudian.…”

Section: Pendahuluanunclassified

“…NEET digunakan dalam pembangunan ekonomi sebagai ukuran marginalisasi dan ketidakterlibatan kamu muda, dan dapat digunakan dalam menganalisa masalah pada pasar kerja kaum muda (Kovrova & Lyon, 2013). Hubungan antara pertumbuhan ekonomi dan banyaknya kaum muda yang tidak bekerja adalah berbanding terbalik, terutama jika kaum muda sangat rentan, dan harus bersaing dengan pencari kerja profesional atau berpengalaman di pasar kerja kompetitif dengan penawaran pekerjaan terbatas (Bălan, 2015).…”

Section: Tinjauan Pustakaunclassified

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Karakteristik Kaum Muda Pada Pasar Tenaga Kerja Dan Determinan Neet Di Indonesia

Zoraya¹,

Wulandari

2020

JLS

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Menurut Badan Pusat Statistik (BPS), jumlah penduduk muda di Indonesia adalah hampir seperlima dari total penduduk. Meskipun terdapat peningkatan pada pekerja kaum muda, masih terdapat masalah yang mengkhawatirkan yaitu pengangguran di kalangan kaum muda, yaitu jumlah yang sangat tinggi dan terdapat kemungkinan jumlah ini akan bertambah setiap tahunnya. SAKERNAS 2018 menunjukkan pengangguran kaum muda sebesar 19,7%, dan tingkat NEET penduduk muda mencapai 22,1%. Penelitian ini mengidentifikasi karakterisik pengangguran kaum muda dan NEET di Indonesia. Penelitian ini menggunakan metode analisis binari logistik dengan menggunakan data SAKERNAS 2018 untuk mengidentifikasi determinan dari NEET. Hasil yang didapat adalah karakteristik sosial dan demografi mempengaruhi mempengaruhi penduduk muda untuk menjadi NEET.

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Section: Pendahuluanunclassified

Section: Tinjauan Pustakaunclassified

Karakteristik Kaum Muda Pada Pasar Tenaga Kerja Dan Determinan Neet Di Indonesia

Zoraya¹,

Wulandari

2020

JLS

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“…These include isolation, uncertain and low-wage employment, criminality, failing to build a family, higher risk of marital instability, etc. (Balan 2015 ).…”

Section: Introductionmentioning

confidence: 99%

The determinants of Italian NEETs and the effects of the economic crisis

Quintano

Mazzocchi

Rocca

2018

Genus

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In recent years, the share of young people not in education, employment, or training (NEETs) has shown a remarkable increase in many European countries, such as Italy. The wide diffusion of NEETs represents an alarming social issue, as being NEET predisposes young people to long-term unemployment and social exclusion. It also has a significant negative impact on the economic growth and welfare equilibrium of countries. The aim of this paper is to analyze the determinants of the NEET condition in Italy through a step by step procedure beginning with the identification of their main characteristics and then proceeding with a focus on specific homogeneous clusters of NEETs. The decomposition of the gaps in the probabilities of being NEET between the various clusters allows verifying how personal characteristics effectively act. Furthermore, the influence of unobserved factors in the professional condition of young people has been analysed in more detail through a bivariate selection probit model on the propensity to look for a job against the condition of being inactive. The results confirm the crucial role of the education system, as well as the importance of the economic and social disparities between gender and the Italian territorial districts.

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“…Youths' unemployment, the 'NEET' status, as well as the circumstances in which youths are forced to give up searching for a job, or forced to work in inadequate conditions have a strong impact on the economy of a society, on the families of these youths, and on their personal and professional development as well as on the society at large (Bălan, 2015). Bynner and Parsons (2002) have identified in their developed studies a series of risk factors in becoming a NEET in Great Britain: the socioeconomic fund of the family, parental education, the interest of parents in child's education, the area of residence and the educational level for children.…”

Section: The Main Tendencies In Professional Activity Of Young Peoplementioning

confidence: 99%

“…At the same time, it is twice the EU average in Estonia and Italy -20% (Eurofound, 2015). 2 Beside the indicator of early leavers from education and training, which refers to persons aged 18 to 24, the rest of analysed indicators concern people aged 15 -29.…”

Section: The Labour Market Situation Of Young People In the Eu Countriesmentioning

confidence: 99%

Young People in the European Union Labour Market

Rollnik-Sadowska

2016

LNER

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In an era of aging of the European Union population, it is crucial to take care of human resources in various spheres of their life. The potential of young people is particularly important, as their economic activity creates the basis of maintaining the European welfare state model. However, the labour market situation of young people is difficult. Moreover, the phenomena, which have recently attracted increasing attention, are remaining for young people without employment, education or training (NEET). The occurrence of NEET's resources is harmful at micro level - due to pauperization of European households as well as for the whole economy due to insufficient usage of human resources. The paper aim is to compare how the situation of young people differs in the European Union labour markets.The paper was based on both the desk-research of literature as well as the analysis of selected economic indicators of young people (aged 15-29 years). The indicator analysis was made through the usage of cluster analysis (Ward's method and k-means method). The data was gathered from the databases of Eurostat. The selected indicators determine the labour market situation of young people in the EU countries and they are derived from two years – 2006 and 2014.Ward's and k-means methods allowed for dividing the EU countries into three groups. It occurred that the groups in 2006 have a completely different composition of countries than in 2014, which was mainly determined by crisis influences on the labour markets as well as directions of conducted reforms. Additionally, the k-means method allowed for comparison of selected groups on the basis of chosen variables and determination of countries with the best and the worst situation of young people.

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Methods to Estimate the Structure and Size of the “Neet” Youth

Cited by 20 publications

References 4 publications

Karakteristik Kaum Muda Pada Pasar Tenaga Kerja Dan Determinan Neet Di Indonesia

Karakteristik Kaum Muda Pada Pasar Tenaga Kerja Dan Determinan Neet Di Indonesia

The determinants of Italian NEETs and the effects of the economic crisis

Young People in the European Union Labour Market

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