Next-Generation Macroeconomics: Data-Driven and Artificial Intelligence Approaches

Dear Colleagues,

The increasing availability of high-frequency and unconventional datasets, together with advanced computational tools, offers unprecedented opportunities to improve forecasting, modeling, and the evaluation of economic policy. Given this background, this Special Issue of Economies explores how big data, machine learning, and artificial intelligence are reshaping macroeconomic analysis and policy. We invite submissions that apply or critically assess data-driven and AI-based approaches to macroeconomic phenomena, including growth, inflation, employment, interest rates, trade balances, and systemic risk. Contributions may also focus on hybrid frameworks combining structural models (e.g., DSGE, VAR) with AI methods, or address methodological and ethical challenges such as data quality, algorithmic bias, and transparency. We welcome a broad range of contributions, including empirical research, methodological studies, review articles, policy-oriented papers, and technical notes. Our aim is to provide a platform for advancing next-generation macroeconomic research at the intersection of economics, data science, and public policy.

Dr. Carlos Poza
Guest Editor

Manuscript Submission Information

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