Inference for VARs identified with sign restrictions
Eleonora Granziera,
Hyungsik Moon () and
Frank Schorfheide
Quantitative Economics, 2018, vol. 9, issue 3, 1087-1121
Abstract:
There is a fast growing literature that set‐identifies structural vector autoregressions (SVARs) by imposing sign restrictions on the responses of a subset of the endogenous variables to a particular structural shock (sign‐restricted SVARs). Most methods that have been used to construct pointwise coverage bands for impulse responses of sign‐restricted SVARs are justified only from a Bayesian perspective. This paper demonstrates how to formulate the inference problem for sign‐restricted SVARs within a moment‐inequality framework. In particular, it develops methods of constructing confidence bands for impulse response functions of sign‐restricted SVARs that are valid from a frequentist perspective. The paper also provides a comparison of frequentist and Bayesian coverage bands in the context of an empirical application—the former can be substantially wider than the latter.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (36)
Downloads: (external link)
https://doi.org/10.3982/QE978
Related works:
Working Paper: Inference for VARs Identified with Sign Restrictions (2018) 
Working Paper: Inference for VARs Identified with Sign Restrictions (2011) 
Working Paper: Inference for VARs identified with sign restrictions (2011) 
Working Paper: Inference for VARs Identified with Sign Restrictions (2011) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:quante:v:9:y:2018:i:3:p:1087-1121
Ordering information: This journal article can be ordered from
https://www.econometricsociety.org/membership
Access Statistics for this article
More articles in Quantitative Economics from Econometric Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().