News shocks about future productivity can be correctly inferred from a conventional VAR model only if information contained in observables is rich enough. This paper examines news shocks by means of a noncausal VAR model that recovers economic shocks from both past and future variation. As noncausality is implied by nonfundamentalness, the model solves the problem of insufficient information per se. By the impulse responses derived from the model, variables react to the anticipated structural shocks, which are identified by exploiting future dependence of investment with respect to productivity. In the U.S. economy, news about improving total factor productivity moves investment and stock prices on impact, but these responses are likely aff...
This paper provides robust evidence that news shocks about future investment- specific t...
In an influential recent paper, Beaudry and Portier (2006) propose a sequential approach for identif...
Economic theory typically assumes the existence of few unobserved unpredictable stochastic disturban...
News shocks about future productivity can be correctly inferred from a conventional VAR model only i...
This paper uses a structural, large dimensional factor model to evaluate the role of 'news' shocks (...
This paper uses a structural, large dimensional factor model to evaluate the role of ‘news’ shocks ...
This paper uses a structural, large dimensional factor model to evaluate the role of ‘news’ shocks ...
We provide novel evidence that technological news and uncertainty shocks, identified one at a time u...
This paper investigates the reliability of SVARs to identify the dynamic effects of news shocks. We ...
We implement a new approach for the identification of "news shocks" about future technology. In a VA...
This paper assesses SVARs as relevant tools at identifying the aggregate effects of news shocks. Whe...
This paper assesses SVARs as relevant tools at identifying the aggregate effects of news shocks. Whe...
This paper assesses SVARs as relevant tools at identifying the aggregate effects of news shocks. Whe...
A structural Factor-Augmented VAR model is used to evaluate the role of ``news'' shocks in generatin...
A structural Factor-Augmented VAR model is used to evaluate the role of ``news'' shocks in generatin...
This paper provides robust evidence that news shocks about future investment- specific t...
In an influential recent paper, Beaudry and Portier (2006) propose a sequential approach for identif...
Economic theory typically assumes the existence of few unobserved unpredictable stochastic disturban...
News shocks about future productivity can be correctly inferred from a conventional VAR model only i...
This paper uses a structural, large dimensional factor model to evaluate the role of 'news' shocks (...
This paper uses a structural, large dimensional factor model to evaluate the role of ‘news’ shocks ...
This paper uses a structural, large dimensional factor model to evaluate the role of ‘news’ shocks ...
We provide novel evidence that technological news and uncertainty shocks, identified one at a time u...
This paper investigates the reliability of SVARs to identify the dynamic effects of news shocks. We ...
We implement a new approach for the identification of "news shocks" about future technology. In a VA...
This paper assesses SVARs as relevant tools at identifying the aggregate effects of news shocks. Whe...
This paper assesses SVARs as relevant tools at identifying the aggregate effects of news shocks. Whe...
This paper assesses SVARs as relevant tools at identifying the aggregate effects of news shocks. Whe...
A structural Factor-Augmented VAR model is used to evaluate the role of ``news'' shocks in generatin...
A structural Factor-Augmented VAR model is used to evaluate the role of ``news'' shocks in generatin...
This paper provides robust evidence that news shocks about future investment- specific t...
In an influential recent paper, Beaudry and Portier (2006) propose a sequential approach for identif...
Economic theory typically assumes the existence of few unobserved unpredictable stochastic disturban...