On April 22, 2026, the Graduate School (Research) hosted an engaging session of the Graduate Café featuring Alessandro Saccal, Senior Lecturer and DSc candidate in Econometrics and Statistics. He presented his study titled, "A Structural Vector Auto-Regression for Uzbekistan's Real Business Cycle Model."

The session delved into the application of Structural Vector Auto-Regression (SVAR) techniques to model Uzbekistan's real business cycle dynamics. Alessandro explored how macroeconomic shocks—such as changes in productivity, policy, or external demand—propagate through the Uzbek economy and influence key variables including output, consumption, investment, and employment.

Attendees gained valuable insights into the methodological foundations of SVAR models, their advantages for analyzing emerging economies, and their practical application for understanding business cycle fluctuations in Uzbekistan's unique economic context. The presentation successfully bridged econometric theory with real-world policy analysis, sparking a thoughtful discussion among participants.