The impact of selected variables on the unemployment rate in a given region
DOI:
https://doi.org/10.51660/ridhs21251Keywords:
unemployment rate, econometric analysis, statistical models, labour productivity, multiple regression, forecastingAbstract
Unemployment is a permanent element of the market economy that negatively affects the entire society. This research aims to analyze the impact of selected variables on the unemployment rate. The scope of the research covered the years 2009 to 2023, and their analysis was carried out using an econometric model, which allowed for the estimation of the impact of selected variables on the unemployment rate. The analysis showed that increasing the demographic burden and the number of people has a significant impact on reducing the unemployment rate. The values of the determination coefficient suggest that the model describes the unemployment phenomenon well. Although the time series showed a downward trend for the unemployment rate, the possible forecasting was burdened with too much error. The research results can contribute to a better understanding of the factors influencing the unemployment rate. Appropriate adjustment of educational programs related to the obtained results can contribute to reducing the unemployment rate and improving the situation in the local labour market.
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