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The Dependence of Unemployment of the Senior Workforce upon Explanatory Variables in the European Union in the Context of Industry 4.0

Bibliographic Data

ID8019256
AuthorsHana Stojanová (0000-0001-6375-7885, Mendel University in Brno, corresponding author), Barbora Lietavcová (Mendel University in Brno), Ivona Vrdoljak Raguž (0000-0002-3237-4694, University of Dubrovnik)
Year2019
Volume8
Issue1
Pages29-29
Publication date2019-01-18
Open AccessYes
TypeARTICLE
VenueSocial Sciences (JOURNAL)
Journal identifiersISSN: 2076-0760 • E-ISSN: 2076-0760
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/socsci8010029
OpenAlexW2908682889
LanguageEN
Citations received1
References cited13

Digitalization, robotization, artificial intelligence, and all kinds of new technologies that are known as Industry 4.0 or the fourth industrial revolution have great influence on the future of work because they will gather new jobs with new skills, and a majority of the senior workforce will probably have a lot of problems with those kinds of changes and challenges. The major objective of the paper is to recognize the dependence of the unemployment of the age category 55–64 upon selected explanatory variables. The explanatory variables were selected, and the expectations of their signs were presented in the research design. The secondary data of Eurostat and OECD 2015 has been used, covering the twenty-two member countries of the European Union (the countries that provided minimum wage were included only). The econometric analysis, specifically model specification and model quantification were the main methods used in the paper. The main outcomes and relevance of the model as well as its limitations have been compared with the findings of other authors in the discussion and implications for further research

Context (archaeology · Demographic economics · Econometric model · Econometrics · Economic growth · Economics · European union · Explanatory model · International trade · Labour economics · Macroeconomics · Political science · Relevance (law · Statistics · Unemployment · Wage · Work (physics · Workforce · Employment and Welfare Studies · Engineering · Labor market dynamics and wage inequality · Mathematics · Socio-economic Development and Sustainability · Accounting

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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