Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/200538 
Erscheinungsjahr: 
2018
Schriftenreihe/Nr.: 
Working Paper No. 2018-16
Verlag: 
Federal Reserve Bank of Atlanta, Atlanta, GA
Zusammenfassung: 
Motivated by the increasing use of external instruments to identify structural vector autoregressions (SVARs), we develop algorithms for exact finite sample inference in this class of time series models, commonly known as proxy-SVARs. Our algorithms make independent draws from the normal-generalized-normal family of conjugate posterior distributions over the structural parameterization of a proxy-SVAR. Importantly, our techniques can handle the case of set identification and hence they can be used to relax the additional exclusion restrictions unrelated to the external instruments often imposed to facilitate inference when more than one instrument are used to identify more than one equation, as in Mertens and Montiel-Olea (2018).
Schlagwörter: 
SVARs
external instruments
importance sampler
JEL: 
C15
C32
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
1.81 MB





Publikationen in EconStor sind urheberrechtlich geschützt.