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Development of the near-term forecast of inflation for Uzbekistan application of FAVAR and BVAR models

Summary by graduateinstitute.ch
This study investigates the application of Factor-Augmented Vector Autoregression (FAVAR) and Bayesian Vector Autoregression (BVAR) models for inflation forecasting. FAVAR models deal with high-dimensional data by extracting latent factors from extensive macroeconomic indicators, while BVAR models incorporate prior distributions to enhance forecast stability and precision in data-limited environments. Employing a comprehensive dataset of Uzbekis…
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graduateinstitute.ch broke the news in on Friday, March 28, 2025.
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