We estimate state-dependent government spending multipliers for the United States. We use a Factor-Augmented Interacted Vector Autoregression (FAIVAR) model. This allows us to capture the time-varying monetary policy characteristics including the recent zero interest rate lower bound (ZLB)...

We quantify the impact of government spending shocks in the US. Thereby, we control for fiscal foresight by utilizing the narrative approach. Moreover, we surmount the generic limited information problem inherent in vector autoregressions (VARs) by a factor-augmented VAR (FAVAR) approach. We...

We estimate state-dependent government spending multipliers for the United States. We use a Factor-Augmented Interacted Vector Autoregression (FAIVAR) model. This allows us to capture the time-varying monetary policy characteristics including the recent zero interest rate lower bound (ZLB)...

What is the impact of surprise and anticipated policy changes when agents form expectations using adaptive learning rather than rational expectations? We examine this issue using the standard stochastic real business cycle model with lump-sum taxes. Agents combine knowledge about future policy...

Economic theory has yet to come up with a general guidance regarding the dynamic effects and welfare implications of shocks to public spending. With the aim to provide a theoretical benchmark, we analyze if a rise in private consumption following an exogenous rise in government spending is a...