We show that the contemporaneous and longer horizon impulse responses estimated using small-scale Proxy structural vector autoregressions (SVARs) can be severely biased in the presence of information insufficiency. Instead, we recommend the use of a Proxy Factor Augmented VAR (FAVAR) model that remains robust in the presence of this problem. In an empirical exercise, we demonstrate that this issue has important consequences for the estimated impact of monetary policy shocks in the US. We find that the impulse responses of real activity and prices estimated using a Proxy FAVAR are substantially larger and more persistent than those suggested by a small-scale Proxy SVAR
none4siA growing literature considers the impact of uncertainty using SVAR models that include proxi...
Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy ...
We provide necessary and sufficient conditions for the identification of Structural Vector Autoregre...
A growing literature considers the impact of uncertainty using SVAR models that include proxies for ...
Chapter 1 suggests an efficient and simple regression-based approach for consistent estimation of dy...
In the literature using short-run timing restrictions to identify monetary policy shocks in vector-a...
This paper investigates the reliability of SVARs to identify the dynamic effects of news shocks. We ...
Proxy structural vector autoregressions (SVARs)identify structural shocks in vector autoregressions ...
The evolution of monetary policy in the U.S. is examined based on structural dynamic factor models. ...
We propose a new bootstrap algorithm for inference for impulse responses in structural vector autore...
This paper extends the current literature which questions the stability of the monetary transmission...
Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy ...
This paper extends the current literature which questions the stability of the monetary transmission...
I propose a Bayesian approach to identify vector autoregressive (VAR) models via proxies in a data-r...
Using the informational sufficiency procedure from Forni and Gambetti (2014) along with data from Mc...
none4siA growing literature considers the impact of uncertainty using SVAR models that include proxi...
Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy ...
We provide necessary and sufficient conditions for the identification of Structural Vector Autoregre...
A growing literature considers the impact of uncertainty using SVAR models that include proxies for ...
Chapter 1 suggests an efficient and simple regression-based approach for consistent estimation of dy...
In the literature using short-run timing restrictions to identify monetary policy shocks in vector-a...
This paper investigates the reliability of SVARs to identify the dynamic effects of news shocks. We ...
Proxy structural vector autoregressions (SVARs)identify structural shocks in vector autoregressions ...
The evolution of monetary policy in the U.S. is examined based on structural dynamic factor models. ...
We propose a new bootstrap algorithm for inference for impulse responses in structural vector autore...
This paper extends the current literature which questions the stability of the monetary transmission...
Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy ...
This paper extends the current literature which questions the stability of the monetary transmission...
I propose a Bayesian approach to identify vector autoregressive (VAR) models via proxies in a data-r...
Using the informational sufficiency procedure from Forni and Gambetti (2014) along with data from Mc...
none4siA growing literature considers the impact of uncertainty using SVAR models that include proxi...
Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy ...
We provide necessary and sufficient conditions for the identification of Structural Vector Autoregre...