评估数据科学在经济理论中的应用

Myelinda A. Baldelovar
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引用次数: 0

摘要

数据科学在经济理论中变得越来越重要。本文探讨了如何将数据科学应用于经济理论,以及如何使用数据科学对经济结果进行预测。它着眼于如何使用数据科学来识别经济数据中的模式,以及如何使用数据科学来发展新的经济理论和预测经济趋势。它还讨论了与在经济学中使用数据科学相关的潜在挑战和伦理问题,以及如何使用数据科学来改进经济决策。最后,本文讨论了数据科学对经济理论和实践的潜在好处。关键词:应用,分析,数据科学,经济理论,影响
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Data Science's Application to Economic Theory
Data science is becoming increasingly important in economic theory. This paper examines how data science can be applied to economic theory and how it is used to make predictions about economic outcomes. It looks at how data science can be used to identify patterns in economic data, and how it can be used to develop new economic theories and to forecast economic trends. It also discusses the potential challenges and ethical issues associated with the use of data science in economics, and how data science can be used to improve economic decision-making. Finally, the paper concludes with a discussion of the potential benefits of data science to economic theory and practice. Keyword :Application, Analysis, Data Science, Economic Theory, Impact.
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