Forecasting the Future: Large Models Improve Economic Predictions and Policy Analysis
The paper looks at how well different sizes of Bayesian Vector Autoregression models work for forecasting and analyzing the impact of monetary policy shocks on the economy. They compared models with three and eight variables to larger ones with over one hundred indicators. The results show that models with a hundred variables are good at forecasting and analyzing the effects of monetary policy shocks on the economy.
