Youth Unemployment – Current Trend in the Labour Market?

Gontkovičová, Barbora; Mihalčová, Bohuslava; Pružinský, Michal

doi:10.1016/s2212-5671(15)00554-7

Cited by 22 publications

(10 citation statements)

References 2 publications

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“…Pengangguran usia muda dapat diartikan sebagai penduduk angkatan kerja berusia 15-24 tahun yang tidak memiliki pekerjaan, sedang mencari pekerjaan, sedang mempersiapkan usaha, tidak mencari pekerjaan karena merasa putus asa, ataupun sudah memiliki pekerjaan tetapi belum mulai bekerja. Pengangguran usia muda merupakan salah satu permasalahan serius yang mengindikasikan adanya pemborosan sumber daya yang terbatas sehingga dapat menghambat potensi pertumbuhan ekonomi dalam jangka panjang (Gontkovičová, Mihalčová, & Pružinský, 2015). Selain berdampak pada ekonomi, pengangguran usia muda juga berdampak pada permasalahan sosial baik bagi individu maupun lingkungan (Bell & Blanchflower, 2011).…”

Section: Metode Landasan Teoriunclassified

Pemodelan Jumlah Pengangguran Usia Muda di Provinsi Jawa Timur Tahun 2019 dengan Regresi Binomial Negatif

Rizaldi¹,

Utomo²

2021

semnasoffstat

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Pengangguran merupakan permasalahan aktual dalam ketenagakerjaan di Indonesia. Pada tahun 2019, jumlah pengangguran di Indonesia sebanyak 7,10 juta orang, sebesar 56,02 persen atau 3,98 juta orang diantaranya adalah kelompok usia muda (15-24 tahun). Pengangguran usia muda menunjukkan adanya pemborosan sumber daya yang terbatas yang dapat menghambat potensi pertumbuhan ekonomi. Selain itu, juga berdampak pada lingkungan sosial, seperti kriminalitas, masalah kesehatan, dan kemiskinan. Provinsi Jawa Timur merupakan provinsi dengan jumlah pengangguran usia muda tertinggi kedua di Indonesia sebanyak 478.478 orang, padahal perekonomiannya menunjukkan pertumbuhan yang baik, bahkan lebih baik daripada pertumbuhan ekonomi nasional selama tahun 2015-2019. Penelitian ini bertujuan menganalisis variabel-variabel yang memengaruhi jumlah pengangguran usia muda di Provinsi Jawa Timur tahun 2019. Data yang digunakan adalah data Sakernas Agustus 2019 (backcasting). Metode analisis yang digunakan adalah regresi binomial negatif karena dapat mengatasi masalah overdispersi pada regresi Poisson. Hasil analisis menunjukkan bahwa terdapat pengaruh signifikan dari variabel upah minimum kabupaten/kota, serapan tenaga kerja sektor pertanian dan sektor industri pengolahan, pertumbuhan ekonomi, dan APK SMA terhadap jumlah pengangguran usia muda. Sementara itu, variabel persentase angkatan kerja muda lulusan SMA/sederajat dan investasi berpengaruh tidak signifikan terhadap jumlah pengangguran usia muda.

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Section: Metode Landasan Teoriunclassified

Pemodelan Jumlah Pengangguran Usia Muda di Provinsi Jawa Timur Tahun 2019 dengan Regresi Binomial Negatif

Rizaldi¹,

Utomo²

2021

semnasoffstat

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“…There exist many studies about minimum wage and its impact on employment. Various authors show that the minimum wage has a negative impact on employment, especially in terms of young employees without any practice and low-qualified employees (Currie & Fallick, 1996;Neumark & Wascher, 2007;Herr et al, 2009;Gontkovičová et al, 2015;Štefančík et al 2021;Ighoshemu, & Ogidiagba, 2022). However, an effect may be statistically significant in certain sectors with a higher rate of low-qualified job positions (for example, fast-food restaurants in Neumark & Wascher, 2000), while it may differs depending on how mature is economy of a particular region (for example, construction sector in West and East Germany in König & Möller, 2007).…”

Section: Introductionmentioning

confidence: 99%

Unemployment in the Context of Minimum Wage Concept in Slovakia

Tkáčová¹,

Gavurová²,

Melasova³

et al. 2022

JESI

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The aim of study is to identify an impact of the minimum wage concept on the unemployment rate in Slovakia from 1993 to 2020. Linear regression tests an impact of the Kaitz index, minimum wage and living wage rate, GDP, unemployment rate of people with basic education and progressive taxation. In case the minimum wage increase is less profound than the average wage increase, and a difference between the minimum wage and the living wage is being continually deepened, then the unemployment rate may be decreased. The Slovak unemployment rate may decrease by the GDP growth and by decreasing the number of citizens with basic education.

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“…Bulgaria and Poland marked the most sustainable improvement in youth unemployment across the last 20 years. Youths are considered the most vulnerable group for labour market exclusion as they enter the workforce for the first time and do not have sufficient working experience (Gontkovičová et al, 2015). In addition, their education and training are often not adequate to prepare them fully for the transition from education to work.…”

Section: Introductionmentioning

confidence: 99%

“…O'Higgins (2001) states that the main reason for youth unemployment is namely the poor macroeconomic performance. Some authors prove that it is more volatile over time and more responsive to business cycles compared to adult unemployment rates (Dietrich, 2012;Gontkovičová et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Youth Unemployment in Europe – Business Cycles, Crises, and Policy Responses

Vutsova

Arabadzhieva

Yalamov

2021

PEB

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Purpose: The goal of the paper is to analyse in which countries’ youth unemployment is statistically pro or countercyclical and how crises in the last decade have affected it. What would the plausible explanations for diverging patterns within the EU and other European countries be? In what terms is the young people’s labour market across Europe imbalanced? Methodology: The paper builds on Gontkovicova et al.’s (2015) analysis of correlations between GDP growth and youth unemployment on an annual basis by adding more indicators and considering the quarterly basis as well. The quantitative approach is enriched by qualitative insights on Southeast European countries studied within the Erasmus+ YouthCap project (CRA, 2020). Findings: Most of the countercyclical youth unemployment trends in the last 20 years are observed in Eastern European countries (Bulgaria, Hungary, Poland and Slovenia). From Western European countries Iceland, Denmark and Portugal are countercyclical. The most resilient countries in terms of COVID-19 are North Macedonia, Serbia, Turkey and Iceland, which were able to reduce youth unemployment during the coronavirus crisis (Q3 in 2019 and 2020). Plausible policy reactions have been identified based on the concept of learning societies and the need for continuous education. Practical implications: The paper argues why localised policy responses could be more effective than a centralised solution. However, increased coordination and standardisation of secondary and higher education could lead to increased youth labour migration. Originality/value: The paper combines a more traditional quantitative approach to the most recent data series with the qualitative approach of identifying various micro-trends by looking at selected outlier countries.

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Youth Unemployment – Current Trend in the Labour Market?

Cited by 22 publications

References 2 publications

Pemodelan Jumlah Pengangguran Usia Muda di Provinsi Jawa Timur Tahun 2019 dengan Regresi Binomial Negatif

Pemodelan Jumlah Pengangguran Usia Muda di Provinsi Jawa Timur Tahun 2019 dengan Regresi Binomial Negatif

Unemployment in the Context of Minimum Wage Concept in Slovakia

Youth Unemployment in Europe – Business Cycles, Crises, and Policy Responses

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