Analysis of Unemployment in France

Ivan Khabrenko

Master's thesis

Abstract:

The objective of the author’s diploma thesis is to describe trends, tendencies and nature of unemployment in France, one of the world's leading economies and the second biggest economy of the European Union. The author's additional objective is also to identify significant factors that influence unemployment, as well as to calculate the seasonality of France's unemployment and provide a relevant prognosis for the upcoming years. For the work's methodology, the author focuses on empirical research with a pertinent statistical analysis of time series data. The author incorporates three fundamental statistical analyses in order to reach the goals described in the objectives with the help of seasonality analysis, trend analysis and linear regression analysis. The kind of data used for the analysis is time series data from secondary sources, such as The World Bank and Federal Reserve Bank of St. Louis database. The time series data selected for seasonality and trend analysis has quarters set as observations and the selected time frame for these two analyses is 2000-2021. The time series data selected for the regression analysis has years as observations and the time frame is the same as in the first two cases – 2000-2021.

Keywords

Unemployment, France, Seasonality, Tourism, GDP, FDI, Tax

Jazyk práce: English

Datum vytvoření / odevzdání či podání práce: 4. 4. 2023

Obhajoba závěrečné práce

• Obhajoba proběhla 23. 5. 2023
• Vedúci: Ing. Jiří Čermák, Ph.D.
• Oponent: Jiří Kchimel, externi

Czech University of Life Sciences Prague

Faculty of Economics and Management

Master programme:
Economics and Management