Utilizing a machine learning technique known as random forests, we study whether regional output growth uncertainty … period from 1970 to 2020. We use a stochastic volatility model to measure regional output growth uncertainty. We document the … empirical results shed light on the contribution to forecast performance of own uncertainty associated with a particular region …

This paper analyzes the performance of the monthly economic policy uncertainty (EPU) index in predicting recessionary …

This paper analyzes the performance of the monthly economic policy uncertainty (EPU) index in predicting recessionary …

This study examines the dynamic relationship between monthly inflation and inflation uncertainty in Japan, the US and … autoregressive conditional heteroskedasticity (GARCH) model to generate a measure of inflation uncertainty, the empirical evidence … to greater inflation uncertainty for all countries as predicted by Friedman (1977). Although VAR estimates imply no …

Korea) to economic policy uncertainty (EPU) of US and EU, and oil prices in different state of the economies. To investigate …