Template-Type: ReDIF-Article 1.0
Author-Name: Vladislav Krastev
Author-Name: Elvira Nica
Title: Population Ageing as a Factor of Structural Changes in Unemployment
Abstract: The aim of the paper was to analyse the relationship between the unemployment rate and population ageing. Regression and correlation analysis was used. The Spearman and Pearson correlation coefficients were also used. The research question one examined the relationship between the average age of the ageing population and the unemployment rate, suggesting a likely non-linear relationship. The research question two focused on the relationship between the average age of the population and the number of job seekers aged 50-64. The analysis showed that the linear model had limited accuracy while the use of a non-linear approach significantly improved the quality of the results and more complex and non-linear relationships between the investigated variables were pointed out. The research does not take into account socio-economic factors that may have a significant effect on the non-linear relationships between variables.
Keywords: Unemployment, population ageing, average age, regression analysis, correlation, Czech Republic, labour market
Journal: Littera Scripta
Volume: 17
Issue: 2
Year: 2024
Month: December
Pages: 1-16
DOI: 10.36708/LS.2024.I02.001
File-URL: https://littera-scripta.com/articles/population-ageing-as-a-factor-of-structural-changes-in-unemployment-72f616d4
File-Format: text/html
Handle: RePEc:rsg:littra:2024-008