Изследване на безработицата в България през периода от 2003 до 2024 г. Декомпозиране на динамичен ред с R и изкуствен интелект
Unemployment Research in Bulgaria in the Period from 2003 to 2024. Decomposition of a Dynamic Series with R and Artificial Intelligence

Author(s): Iva Raycheva
Subject(s): Economy, Business Economy / Management, ICT Information and Communications Technologies, Socio-Economic Research
Published by: Университет за национално и световно стопанство (УНСС)
Keywords: unemployment; trend; seasonal component; decomposition; artificial intelligence
Summary/Abstract: Unemployment is one of the phenomena that arouses continuous interest and is directly related to the labor force and well-being among the society. Within the framework of the study of unemployment in Bulgaria during the period 2003 – 2024, periods of increase and decrease in the unemployment rate have been identified, some of which can be associated with the global financial and economic crisis in 2008. The main method used in this report is the decomposition of the dynamic series of unemployment. The method was performed using the specialized open source software R and the artificial intelligence ChatGPT.

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