Open Access Journal Article

Artificial Intelligence Techniques in Economic Analysis

by Robertas Damasevicius a,* orcid
a
Department of Applied Informatics, Vytautas Magnus University, Kaunas, Lithuania
*
Author to whom correspondence should be addressed.
EAL  2023, 25; 2(2), 25; https://doi.org/10.58567/eal02020007
Received: 9 April 2023 / Accepted: 9 May 2023 / Published Online: 23 May 2023
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Abstract

This paper provides an overview of the existing literature on the use of artificial intelligence (AI) in various fields, including economics, finance, mining, manufacturing, and innovation. The paper identifies the drivers and effects of AI deployment in the context of innovation and highlights the challenges and opportunities that arise from the use of AI. The studies reviewed in this paper cover various topics related to forecasting, including the impact of AI on professional skills, hybrid forecasting techniques for predicting commodity prices, and novel deep reinforcement learning algorithms for crude oil price forecasting. The paper’s contribution lies in its systematic and comprehensive approach to reviewing the literature, which allows for a better understanding of the impact of AI on various fields and the identification of strategies to address the challenges that arise from its deployment.

Keywords: Artificial Intelligence, Economic Analysis, Machine Learning, Natural Language Processing, Deep Learning, Neural Networks, Forecasting, Predictive Analytics;
Copyright: © 2023 by Damasevicius. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Damasevicius, R. Artificial Intelligence Techniques in Economic Analysis. Economic Analysis Letters, 2023, 2, 25. https://doi.org/10.58567/eal02020007
AMA Style
Damasevicius R. Artificial Intelligence Techniques in Economic Analysis. Economic Analysis Letters; 2023, 2(2):25. https://doi.org/10.58567/eal02020007
Chicago/Turabian Style
Damasevicius, Robertas 2023. "Artificial Intelligence Techniques in Economic Analysis" Economic Analysis Letters 2, no.2:25. https://doi.org/10.58567/eal02020007
APA style
Damasevicius, R. (2023). Artificial Intelligence Techniques in Economic Analysis. Economic Analysis Letters, 2(2), 25. https://doi.org/10.58567/eal02020007

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