Artificial Intelligence and Inflation Forecasting: A Contemporary Perspective

Pijush Kanti Das and Prabir Kumar Das

South Asian Journal of Macroeconomics and Public Finance, 2025, vol. 14, issue 1, 133-164

Abstract: The growing complexity of economic systems and the enormous data availability make the application of traditional forecasting methods challenging in accurately predicting economic parameters. A notable shift from econometric models to artificial intelligence (AI) algorithms has significantly affected economic forecasting. This article focuses on the application of AI techniques, specifically in the domain of inflation forecasting. We conduct a comprehensive review by surveying seminal literature on the application of AI in inflation forecasting from the contemporary perspective. This study serves as a pioneering work by consolidating major contributions in the field, offering future researchers’ insights into a diverse array of state-of-the-art AI-based techniques and data sources relevant to inflation forecasting. JEL Classification: E17, E31

Keywords: Artificial intelligence; inflation; forecasting; systematic review (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:sae:smppub:v:14:y:2025:i:1:p:133-164

DOI: 10.1177/22779787251318831

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