Boris Kozyrev

Boris Kozyrev is a Researcher in the Department of Macroeconomics at the Halle Institute for Economic Research (IWH) since September 2021. He holds a bachelor's degree from Lomonosov Moscow State University and a master's degree from Toulouse School of Economics. Previously, he worked as a Junior Researcher at the Russian Presidential Academy of National Economy and Public Administration.

His research focuses on macroeconomic forecasting, applied econometrics, and computational economics. Key contributions include developing random subspace regression methods for forecast aggregation and applying neural networks to GDP prediction in volatile environments. His work emphasizes model interpretability and handling high-dimensional data, with applications to German and global economic trends.

Recent publications explore topics such as

• forecast combination techniques
• neural network-based GDP prediction
• energy crisis impacts on Germany
• structural challenges in post-pandemic recovery

These articles highlight his expertise in quantitative modeling and real-world economic analysis.

His affiliations include collaborations with institutions like the IWH and prior work at the Russian Presidential Academy. Research interests intersect with policy analysis, particularly in energy and trade sectors affecting Germany's economy.