Identiﬁcation of SVAR Models by Combining Sign Restrictions With External Instruments
Robin Braun () and
Ralf Brüggemann ()
No 2020-01, Working Paper Series of the Department of Economics, University of Konstanz from Department of Economics, University of Konstanz
We discuss combining sign restrictions with information in external instruments (proxy variables) to identify structural vector autoregressive (SVAR) models. In one setting, we assume the availability of valid external instruments. Sign restrictions may then be used to identify further orthogonal shocks, or as an additional infor-mation on the shocks identiﬁed by the external instruments. In the latter case, the additional restrictions may be overidentifying and checked against the data. In a sec-ond setting, we assume that proxy variables are only ‘plausibly exogenous’. In this case, various inequality restrictions based e.g. on correlations or variance contribu-tions can be used for set-identiﬁcation. This can be combined with conventional sign restrictions to further narrow down the set of admissible models. For our B-model type Proxy SVAR setup, we develop Bayesian inference and discuss the computation of Bayes factors to check overidentifying restrictions. We illustrate the usefulness of our methodology in estimating the eﬀects of oil market and monetary policy shocks.
Keywords: Structural vector autoregressive model; sign restrictions; external instru-ments; Proxy VAR (search for similar items in EconPapers)
JEL-codes: C32 C11 E32 E52 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-mac and nep-ore
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