Munkaerő-piaci mutatók elemzése az Észak-Alföld régióban 2018 és 2022-es években

In my study, I analyze the labor market indicators of the North Great Plain statistical region for the years 2018 and 2022 in order to map the regional labour market characteristics based on the indicators. One method of the analysis is the Beveridge curve. This complex analysis method graphically illustrates the evolution of the relationship between the unemployment rate and the proportion of vacant positions typical of the region under investigation. The results of the analysis can draw attention to possible problems in the labour market in the region. I examine the secondary statistical data in parallel with the available related literature.

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Publication Details

Journal
International Journal of Engineering and Management Sciences
Published
2024-09-30
DOI
https://doi.org/10.21791/ijems.2024.014
Primary Topic
Hungarian Social, Economic and Educational Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Munkaerő-piaci mutatók elemzése az Észak-Alföld régióban 2018 és 2022-es években

Lilla Csástyu
International Journal of Engineering and Management Sciences
Hungarian Social, Economic and Educational Studies
article

Munkaerő-piaci mutatók elemzése az Észak-Alföld régióban 2018 és 2022-es években

Lilla Csástyu
article en

Abstract

In my study, I analyze the labor market indicators of the North Great Plain statistical region for the years 2018 and 2022 in order to map the regional labour market characteristics based on the indicators. One method of the analysis is the Beveridge curve. This complex analysis method graphically illustrates the evolution of the relationship between the unemployment rate and the proportion of vacant positions typical of the region under investigation. The results of the analysis can draw attention to possible problems in the labour market in the region. I examine the secondary statistical data in parallel with the available related literature.

International Journal of Engineering and Management SciencesVol. 9(3)
University of Debrecen (HU)
Openalex Percentile: Top 73%
Hungarian Social, Economic and Educational Studies
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