Statistical Analysis of Unemployment in Ukraine

Viktor Zub

Bachelor's thesis

Abstract:

This bachelor’s thesis offers a thorough overview of the unemployment problem in Ukraine. It aims to show the causes of unemployment, to analyse unemployment through the prism of gender and age, to identify the main predictors of unemployment. In the practical part are presented the results of the unemployment analysis. The main analysis was done using the multiple regression model. The unemployment rate was a dependent variable, while gross domestic profit, change in the workforce, inflation rate, interest rate, foreign direct investment and minimum wage were chosen as independent variables. The analysis was based on data from the Ukrainian statistical office about the period from 2000 to 2021. The purpose of a regression model is to figure out which factors have a statistically significant effect on the unemployment rate. As a result, it was found that the main predictors of the unemployment rate in Ukraine during the period from 2000 to 2021 were foreign direct investments and interest rate.

Keywords

Unemployment, Ukraine, Types of unemployment, Predictors, Regression analysis, Demographic structure, Labour market

Jazyk práce: English

Datum vytvoření / odevzdání či podání práce: 19. 3. 2023

Obhajoba závěrečné práce

• Obhajoba proběhla 19. 5. 2023
• Vedúci: Ing. Zuzana Pacáková, Ph.D.
• Oponent: Tomáš Hlavsa, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Bachelor programme:
Business Administration