Using a two-sector estimated DSGE model with a financial channel we show the sector where TFP news arrives matters for its propagation and quantitative importance. Anticipated increases in TFP expected to arrive in the consumption sector are expansionary while those in the investment sector are...

We study the effects of news shocks on inventory accumulation in a structural VAR framework. We establish that inventories react strongly and positively to news about future increases in total factor productivity. Theory suggests that the transmission channel of news shocks to inventories works...

Using a structural vector autoregression, we document that a contractionary monetary policy shock triggers a decline in durable and non-durable outputs as well as a contraction in bank equity and a rise in the excess bond premium. The latter points to an important transmission channel of...

Using a two-sector estimated DSGE model with a financial channel we show the sector where TFP news arrives matters for its propagation and quantitative importance. Anticipated increases in TFP expected to arrive in the consumption sector are expansionary while those in the investment sector are...

We show that the standard Value Function Iteration (VFI) algorithm has difficulties approximating models with jump discontinuities in policy functions. We find that VFI fails to accurately identify the location and size of jump discontinuities while other methods - such as the Endogenous Grid...

We identify total factor productivity (TFP) news shocks using standard VAR methodology and document a new stylized fact: in response to news about future increases in TFP, inventories rise and comove positively with other major macroeconomic aggregates. We show that the standard theoretical...

Using a novel dataset that contains qualitative firm survey data on sales forecasts as well as balance-sheet data on realized sales, we document that only major forecast errors are predictable and display autocorrelation. This result is a particular violation of the Full Information Rational...