scholarly journals Real-Time Forecasting and Scenario Analysis using a Large Mixed-Frequency Bayesian VAR

Author(s):  
Michael W. McCracken ◽  
Michael T. Owyang ◽  
Tatevik Sekhposyan

Author(s):  
Michael W. McCracken ◽  
Michael Owyang ◽  
Tatevik Sekhposyan


Author(s):  
Takashi FURUYA ◽  
Shunichi KOSHIMURA ◽  
Ryota HINO ◽  
Yusaku OHTA ◽  
Takuya INOUE
Keyword(s):  


2013 ◽  
Author(s):  
Frank Schorfheide ◽  
Dongho Song
Keyword(s):  


2012 ◽  
Author(s):  
Frank Schorfheide ◽  
Dongho Song
Keyword(s):  




2018 ◽  
Vol 22 (4) ◽  
Author(s):  
Andrea Giusto ◽  
Talan B. İşcan

Abstract This paper introduces the rescaled representation of VAR models (R-VARs) and demonstrates its application in forecasting mixed-frequency macroeconomic data. We develop the model, illustrate how to implement it, and derive the asymptotic properties of the estimates. We show that R-VARs provide reliable estimates of the prediction error bands while maintaining the precision of the point forecasts. We illustrate these features by comparing it to a mixed-frequency Bayesian VAR model, the leading alternative in the existing literature.



2019 ◽  
Vol 122 (1) ◽  
pp. 369-390
Author(s):  
Stylianos Asimakopoulos ◽  
Joan Paredes ◽  
Thomas Warmedinger


2015 ◽  
Vol 33 (3) ◽  
pp. 366-380 ◽  
Author(s):  
Frank Schorfheide ◽  
Dongho Song
Keyword(s):  


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