Statistical Analysis of Unemployment in Switzerland

Varvara Tovbina

Bachelor's thesis

Abstract:

This bachelor thesis conducts a comprehensive statistical analysis of Switzerland's unemployment rate spanning the period from 1991 to 2021. Thesis covers the causes of changes in unemployment, reasons of lower unemployment in Switzerland among other European countries, disparities among different demographic groups, the impact of COVID-19 and how unemployment could have changed without pandemic. In the practical part data, collected from the Swiss Federal Statistical Office (FSO), shows changes of the unemployment rate. The analysis examines difference in index among several groups identified by gender, nationality, and age. Prediction model is built based on the data from the years 1991 – 2019. It depicts possible changes of unemployment if it was not affected by COVID – 19. As a result, the study showed that main reasons of low unemployment in Switzerland among other countries are constant tourist flow, high level of education, good system of social security. Foreign citizens, women and young adults are individuals who are affected by unemployment the most. Prediction model shows that if there would be no irregular fluctuations starting in 2020 and following, due to the pandemic, unemployment rate would continue to decrease resulting in unemployment rate being equal to 3%, assuming that trend will continue to decrease.

Keywords

Switzerland, Unemployment, COVID, 19

Language used: English

Date on which the thesis was submitted / produced: 3. 12. 2023

Thesis defence

• Date of defence: 8. 2. 2024
• Supervisor: Ing. Zuzana Pacáková, Ph.D.
• Reader: Tomáš Hlavsa, Ph.D.

Czech University of Life Sciences Prague

Faculty of Economics and Management

Bachelor programme:
Business Administration