scholarly journals Reasons and Effects of the Romanian Labour Force Migration in European Union Countries

2008 ◽  
Author(s):  
Ramona Frunza ◽  
Gabriel Mursa ◽  
Liviu-George G. Maha
Keyword(s):  
European Union ◽  
Labour Force ◽  
European Union Countries

scholarly journals The Structure of Unemployment in Poland and the European Union Between 2000 and 2012

2014 ◽  
Vol 17 (3) ◽  
pp. 63-84 ◽  
Author(s):  
Walentyna Kwiatkowska
Keyword(s):  
European Union ◽  
High Risk ◽  
Labour Force ◽  
The Other ◽  
The European Union ◽  
Unemployment Rates ◽  
European Union Countries ◽  
Duration Of Unemployment

This paper has two main objectives. The first is to show changes in the levels of unemployment and unemployment rates in Poland and other European Union countries and to explain why the Polish rates are relatively high. The second is to analyse the structure of unemployment by gender, age, levels of education, and duration of unemployment. In order to assess the Polish unemployment structure it is compared with the analogous structures in the other European Union countries. The analysis will indicate the groups of the labour force with high risk of unemployment. Among the groups of high risk of unemployment are women, youth, people with low skills, and the long-term unemployed.

ANALYSIS OF UNEMPLOYMENT USING FOUR-FACTOR MODEL IN EUROPEAN UNION COUNTRIES

2020 ◽  
Author(s):  
Ľubica Hurbánková ◽  
Keyword(s):  
European Union ◽  
Unemployment Rate ◽  
Economic Activity ◽  
Total Population ◽  
Factor Model ◽  
Economic Statistics ◽  
European Union Countries ◽  
Working Age ◽  
Working Age Population ◽  
Microsoft Office

The paper deals with the analysis of unemployment in European Union countries on the basis of data of the unemployment rate and the number of unemployed. The data are obtained from the Eurostat website. The aim of the paper is to find out how the number of unemployed in individual EU countries changed in 2018 compared to 2009, in which country the number of unemployed increased the most, in which the least. Appropriate tools of economic statistics are used for the analysis. Based on a four-factor model of the analysis of the number of unemployed, we find out how this indicator has changed depending on the change in the unemployment rate, the economic activity rate, the share of the working age population in the total population, and the total population. The application of statistical method is implemented through the programme Microsoft Office Excel.

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