Day 1:

• Introduction to the GVAR modelling framework
• Specification and estimation of the country-specific models
• Weak exogeneity testing and model diagnostics
• Some illustrations
• GVAR modeling in practice using the GVAR Toolbox 2.0

Day 2:

• Including a dominant unit model in the GVAR
• Solving the GVAR model
• Impulse response analysis
• Variance decomposition
• GVAR modeling in practice using the GVAR Toolbox 2.0

Day 3:

• Testing over-identifying restrictions on the cointegrating vectors
• Bootstrapping the GVAR model
• Forecasting with global VARs
• GVAR modeling in practice using the GVAR Toolbox 2.0

Day 4:

• Trend/Cycle decomposition of the GVAR
• GVAR modeling in practice using the GVAR Toolbox 2.0