The field of economic models and forecasting encompasses the development and application of theoretical, empirical and computational frameworks to predict future economic outcomes. These models range ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Economic forecasting is the process of ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

Assessing the current state of the economy and forecast the economic outlook in the next few quarters are important inputs for policymakers. This paper presents a suite of models with an integrated ...

[Greece/Tunisia/Italy] – A team of international researchers has developed a groundbreaking artificial intelligence (AI) method to control and stabilize the Uzawa-Lucas endogenous growth model, a ...

Sweden’s central bank, the Riksbank, is embracing a transformative shift in economic forecasting, as recent findings from its Monetary Policy Department reveal that artificial intelligence (AI)-based ...

Domenico Giannone, an internationally recognized thought leader in econometrics and macroeconomic forecasting, is searching for innovative methods to better understand the complexities of global ...

Will the world still need economists in 2030? With skin in the game, we certainly hope so — but artificial intelligence is already transforming economic analysis. In our own work — and in a review of ...

Forbes contributors publish independent expert analyses and insights. Leadership Strategist Dan Pontefract covers leadership and culture. In a world where economic certainties seem to be as elusive as ...

LONDONLONDON — A review of the Bank of England’s economic forecasting that was published Friday and undertaken by Ben Bernanke, the former chair of the U.S. Federal Reserve, has found “significant ...

In fields including computer science and data science, it is common practice when predicting outcomes such as customer churn or image recognition to focus on variables with the highest predictive ...