Demographic Trends Reflecting Unemployment Rates

Miglena Trencheva and Corina Cristina Nastaca

Littera Scripta, 2024, vol. 17, issue 2, 104-120

Abstract: The aim of this study was to evaluate the trends in population ageing and assess its impact on unemployment in the Czech Republic from 2014 to 2023. Another objective was to determine whether there is a correlation between the ageing index and the unemployment rate and to analyze how generational ageing affected unemployment in selected age groups in the Czech Republic. Data collection was conducted using content analysis, and the obtained values were presented in graphs using graphical methods. It was found that, despite the gradual ageing of the population, the unemployment rate declined over the same period. Consequently, a correlation analysis was performed using Pearson’s correlation coefficient, preceded by data normalization using the Min-Max method. The result was a negative correlation coefficient, indicating a strong to very strong correlation. It was also observed that younger age groups had fewer registered job seekers compared to older age groups in the records of the Labor Office. A limitation of this study is the impact of the Covid- 19 pandemic and the war in Ukraine, which necessitate interpreting certain findings with caution.

Keywords: Population ageing; unemployment; trends; correlation; age groups; ageing index; data normalization (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:rsg:littra:2024-013

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