scholarly journals Online Appendix to Identifying News Shocks with Forecast Data

2019 ◽  
Vol 2019 (366) ◽  
Author(s):  
Yasuo Hirose ◽  
◽  
Takushi Kurozumi ◽  
2019 ◽  
pp. 1-30 ◽  
Author(s):  
Yasuo Hirose ◽  
Takushi Kurozumi

The empirical importance of news shocks—anticipated future shocks—in business cycle fluctuations has been explored by using only actual data when estimating models augmented with news shocks. This paper additionally exploits forecast data to identify news shocks in a canonical dynamic stochastic general equilibrium model. The estimated model shows new empirical evidence that technology news shocks are a major source of fluctuations in US output growth. Exploiting the forecast data not only generates more precise estimates of news shocks and other parameters in the model, but also increases the contribution of technology news shocks to the fluctuations.


2019 ◽  
Vol 201 (366) ◽  
Author(s):  
Yasuo Hirose ◽  
◽  
Takushi Kurozumi ◽  
Keyword(s):  

2013 ◽  
Author(s):  
Bjjrn Hagstrrmer ◽  
Lars L. Norden ◽  
Dong Zhang

Sign in / Sign up

Export Citation Format

Share Document