Premium
Structural VARs and noninvertible macroeconomic models
Author(s) -
Forni Mario,
Gambetti Luca,
Sala Luca
Publication year - 2019
Publication title -
journal of applied econometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.878
H-Index - 99
eISSN - 1099-1255
pISSN - 0883-7252
DOI - 10.1002/jae.2665
Subject(s) - vector autoregression , variance decomposition of forecast errors , structural vector autoregression , impulse response , shock (circulatory) , econometrics , autoregressive model , economics , measure (data warehouse) , variance (accounting) , mathematical economics , computer science , monetary policy , mathematics , macroeconomics , medicine , mathematical analysis , accounting , database
Summary We resume the line of research pioneered by C. A. Sims and Zha ( Macroeconomic Dynamics , 2006, 10 , 231–272) and make two novel contributions. First, we provide a formal treatment of partial fundamentalness—that is, the idea that a structural vector autoregression (VAR) can recover, either exactly or with good approximation, a single shock or a subset of shocks, even when the underlying model is nonfundamental. In particular, we extend the measure of partial fundamentalness proposed by Sims and Zha to the finite‐order case and study the implications of partial fundamentalness for impulse‐response and variance‐decomposition analysis. Second, we present an application where we validate a theory of news shocks and find it to be in line with the empirical evidence.