We survey approaches to macroeconomic forecasting during the COVID-19 pandemic. Due to the unprecedented nature of the episode, there was greater dependence on information outside the econometric model, captured through either adjustments to the model or additional data. The transparency and...

The outbreak of COVID-19 has brought the world economy at standstill which brings huge challenges to major affected countries. The impact of this disease on economy is highly uncertain putting policymakers in difficult situation to formulate appropriate policy in a short time. India being the...

We provide a methodology that efficiently combines the statistical models of nowcasting with the survey information for improving the (density) nowcasting of US real GDP. Specifically, we use the conventional dynamic factor model together with a stochastic volatility component as the baseline...