TY  -  
T1  - Data-driven structural BVAR analysis of unconventional monetary policy 
SN  -  /  
UR  - http://hdl.handle.net/10138/327008 
T3  -  
A1  - Puonti, Paivi 
A2  -  
PB  -  
Y1  - 2019 
LA  - eng 
AB  - We apply a novel Bayesian structural vector autoregressive method to analyze the macroeconomic effects of unconventional monetary policy in Japan, the US and the euro area. The method exploits statistical properties of the data to uniquely identify the model without restrictions, and thus enables formal assessment of the plausibility of given sign restrictions. Unlike previous research, the data-based analysis reveals differences in the output and price effects of the Bank of Japan's, Federal Re... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - 511 Economics; Unconventional monetary policy; Bayesian structural vector autoregression; Identification; VECTOR AUTOREGRESSIONS; SIGN RESTRICTIONS; IDENTIFICATION; INFERENCE; MODELS 
N1  -   
PP  -  
ER  -