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Models of Endogenous Economic Growth with an Arbitrary Additively Separable Consumer Utility Function.

Student: Knysh Mikhail

Supervisor: Valery A. Verbus

Faculty: Faculty of Economics

Educational Programme: Economics (Bachelor)

Final Grade: 7

Year of Graduation: 2024

Abstract The relevance of the study is predetermined by the importance of calculating endogenous economic growth models, which consider an arbitrary additive-separable consumer utility function, in the current conditions of high turbulence within Russian and international markets. The tool for modelling economic growth - the concept of endogenous growth, which is based on the idea that growth is driven by internal factors such as knowledge, investment in human capital and innovation, is highly relevant to consider given the current challenges. The concept of endogenous growth is interesting because it allows us to highlight and analyse the factors and mechanisms that determine the rate of economic growth, as they affect the welfare of the population, employment and the level of the budget. In addition, the integration of the additive-separable utility function allows us to take into account individual consumer preferences that affect economic growth. The methods used in this paper include: 1) Analysis of the scientific literature on endogenous economic growth models. 2) Mathematical modelling considering the assumed relationships between consumer preferences and economic growth. 3) Analysis of the modelling results and conclusions on the possible impact of additive-separable utility function on economic growth. The following results are expected in the course of the work: 1) Identification of the relationships between consumer preferences and economic growth trajectories. 2) Assessing the impact of various factors on stimulating or slowing down economic growth in the context of additively separable utility function. Keywords: economic growth, additive-separable utility function, various factors, internal factors, consumer preferences

Full text (added May 20, 2024)

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