Statistical analysis of unemployment in the Republic of Tajikistan

Shafe Davlatzoda

Bachelor's thesis

Abstract:

This bachelor's thesis explores the issue of unemployment in Tajikistan. The factors that impact the growth or reduction in the unemployment rate are being investigated in this thesis. Furthermore, in the theoretical part of the thesis, the study details the various types of unemployment, as well as their causes and disparities. The practical section focuses on unemployment rate statistical analysis. A multiple regression model was used as the main analysis, where the unemployment rate was a dependent variable, while average monthly wages, the number of graduates from institutions of higher professional education, and the number of employees who underwent training and retraining, improved their qualifications, and completed an internship were chosen as independent variables, all based on yearly time series data from 2000 to 2020. The purpose of a regression model is to identify statistically significant variables that influence unemployment rate. As a result, it was found that average monthly wages were the most important factor that influenced the unemployment rate in Tajikistan during the 2000–2020 years.

Keywords

Youth unemployment, Republic of Tajikistan, Labour market, statistical analysis, time series, unemployment rate, migration, education, poor wages, rural unemploument, economy, types of unemployment

Language used: English

Date on which the thesis was submitted / produced: 11. 3. 2022

Thesis defence

• Supervisor: Ing. Zuzana Pacáková, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Bachelor programme:
Economics and Management