The impact of macroeconomic and structural factors on the unemployment of young women and men

Bal-Domańska, Beata

doi:10.1007/s10644-021-09341-9

Cited by 16 publications

(13 citation statements)

References 28 publications

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“…They indicate that education of good quality and training programs contribute to school-to-work transition. Despite the minor difference in used methods, the results of this study from high school-level perspective are similar and comparable to studies from other CEE countries like Romania or Hungary, but also with Russia (Danacica, 2014;Demidova & Signorelli, 2012) and Western Europe (Bal-Domańska, 2021;Buttler, 2019;Dvouletý et al, 2020) in short-term.…”

Section: Discussionsupporting

confidence: 84%

“…The unemployment rate of high school graduates immediately after graduation depends on the macroeconomic situation (overall unemployment rate and GDP per capita in the region) and quality of education. Studies identified the positive impact of overall unemployment by Bal-Domańska (2021) and Dimian (2011), whilst the negative impact of GDP was identified by studies of Arslan and Zaman (2014), Bal-Domańska (2021), Bayrak and Tatli (2018), Buttler (2019) and Dimian (2011) andTomić (2018). Although according to these studies, it is enough to boost the economic growth to reduce youth unemployment, the reality of many European economies shows that during the economic growth also, other various macroeconomic and non-macroeconomic indicators affect unemployment.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, the Tomić ( 2018) study also suggests that the amount of public debt in GDP is the variable that is vastly associated with youth unemployment in Europe. Studies by Kabaklarli et al (2011), Arslan and Zaman (2014) and Bal-Domańska (2021) have identified the relationship between youth unemployment and GDP, inflation and labour market. Danacica (2014), like Buttler (2019), has used the cases of Romania and Hungary to show that individuals with higher education leave their jobs more easily.…”

Section: Literature Reviewmentioning

confidence: 99%

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Determinants of youth unemployment rate: case of Slovakia

Papík

Mihaľová

Papíková

2022

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Research background: The employment rate of young individuals in the labour market has considerably decreased in developed countries recently. Due to lower labour capital, skills, and generic and job-specific work experience, youth consider finding suitable job challenging. If they fail to succeed in the labour market soon after graduation, it leads to long-term unemployment, unstable and low-quality jobs, and even social exclusion. Purpose of the article: This paper aims to analyse the unemployment rate of high school-graduated students and the factors impacting this unemployment rate, such as GDP per capita, total unemployment rate, apartment price per square meter and results from state exams. Identifying the determinants affecting youth unemployment is crucial for theoretical knowledge and for policymakers to ensure youth inclusion in the economic mainstream. As a result, society can reduce social and economic costs and avoid structural problems in the future. Methods: Data about 464 Slovak high schools from National Institute for Certified Educational. Data include the graduate unemployment rate for each high school in Slovakia. Furthermore, two logistic regression models have been developed to investigate the impact of selected factors on high school graduates? unemployment rate immediately after graduation and nine months after graduation. Findings & value added: This paper indicates the existence of statistical dependency between unemployment of high school graduates and overall unemployment rate in the region, GDP per capita in the region, quality of high school education and cost of living in the region immediately after graduation. Analysis of the period nine months after graduation has shown the important decline of education quality provided by high schools. To reduce youth unemployment, the state should focus primarily on improving overall unemployment itself by implementing a dual-learning system, simplifying business opportunities, making part-time work available, or introducing lifelong learning to help transform the economy into a knowledge base.

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Section: Discussionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Determinants of youth unemployment rate: case of Slovakia

Papík

Mihaľová

Papíková

2022

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“…The determinants of unemployment have been widely researched and are presented in the literature. Some authors emphasise the role of economic growth and ecenomic productivity and the structure of GDP (Bal-Domańska 2022, p. 1143Panaite, Prohozescu & Pintilescu 2022, p. 3). They find that Okun's law holds true.…”

Section: Unemployment and Its Determinants In Theoretical Contextmentioning

confidence: 99%

Structural Determinants of Changes in Unemployment in Poland during the COVID-19 Pandemic

Knapińska

2022

KREM

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Findings:The results of the analysis of the presented research material led to conclusions confirming the relationship between the successive waves of disease and the introduction of economic restrictions and the shaping of measures of the economic situation, the number of job offers reported to labour, migration and border traffic offices, as well as social moods regarding employment and opportunities of finding a job. Further research on the causality and determinants of the unemployment situation could lead to the diagnosis of monthly data, or to search for the strength of the tested relationships using more advanced econometric methods. Implications / Recommendations: The analysis included in this paper is an enrichment of the empirical explanation of the economic consequences of the COVID-19 pandemic. This pandemic is an interesting phenomenon not only in the medical sphere, but also carries a number of consequences affecting the world of the economy, which should be investigated with the greatest possible detail. Contribution: This article deepens the understanding the pandemic period and its implication on the labour market and its influence on the unemployment in 2018-2021.Article type: original article.

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“…One of the most important correlations between the macroeconomic situation and the situation of young people on the labour market is its strong reaction to economic shocks and business cycles. Additionally, it is worth emphasising that unfavourable trends in the economy and employment tend to affect young people even more strongly (Bal-Domańska, 2021;Bod'a & Považanová, 2021;Choudhry et al, 2013;Dunsch, 2017;Hutengs & Stadtmann, 2013) and an improvement in the unemployment rate of young people came with a certain delay in relation to the economy (Choudhry et al, 2013). A question arises as to what extent the situation of young people differs from that of adults and how inclusive are national labour markets for young people?…”

Section: Introductionmentioning

confidence: 99%

Inclusiveness of European Union labour markets in relation to young people

Bal-Domańska

2022

Wiadomości Statystyczne. The Polish Statistician

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In the recent years the professional situation of young people (aged 15–24) compared to that of older age groups (referred to as adults) has deteriorated. In 2020 the unemployment rate among young people in 23 European Union countries (in 19 countries in 2019, which was the last year before the outbreak of the COVID-19 pandemic) was, compared to 2003, significantly higher than that of adults, showing a growing gap between the situation of these two groups of workers on the labour market. The aim of the paper is to assess the situation of young people on the EU labour markets. The analyses based on data obtained from Eurostat cover the years 2003–2020. For the purposes of the analyses, the concept of ‘labour market inclusiveness’ was introduced, understood as a feature of the economy in which access to jobs is similar for all groups of economically active people. The inclusiveness of the national labour markets in the EU has been defined from a static and long-term perspective. For the long-term approach, the method of statistical measurement of α inclusiveness was applied. The final result of the analysis is a typology of the EU labour markets developed on the basis of the proposed definitions, taking into account the level of inclusiveness and the availability of jobs for young people and adults. The research confirms that the national labour markets are considerably diversified. These differences are visible in terms of the unemployment of young people and adults, the reaction of markets to economic shocks and the level of labour market inclusiveness.

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The impact of macroeconomic and structural factors on the unemployment of young women and men

Cited by 16 publications

References 28 publications

Determinants of youth unemployment rate: case of Slovakia

Determinants of youth unemployment rate: case of Slovakia

Structural Determinants of Changes in Unemployment in Poland during the COVID-19 Pandemic

Inclusiveness of European Union labour markets in relation to young people

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