Identification of SVAR models by combining sign restrictions with external instruments

Staff working papers set out research in progress by our staff, with the aim of encouraging comments and debate.
Published on 11 February 2022

Staff Working Paper No. 961

By Robin Braun and Ralf Brüggemann

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 piece of information to pin down the shocks identified by the external instruments more precisely. In a second setting, we assume that proxy variables are only ‘plausibly exogenous’ and suggest various types of inequality restrictions to bound the relation between structural shocks and the external variable. This can be combined with conventional sign restrictions to further narrow down the set of admissible models. Within a proxy-augmented SVAR, we conduct Bayesian inference and discuss computation of Bayes factors. They can be useful to test either the sign or IV restrictions as overidentifying. We illustrate the usefulness of our methodology in estimating the effects of oil supply and monetary policy shocks.

Identification of SVAR models by combining sign restrictions with external instruments