Estimating the Effects of Monetary Policy in Australia Using Sign‐restricted Structural Vector Autoregressions*

Author:

Read Matthew1ORCID

Affiliation:

1. Reserve Bank of Australia Sydney New South Wales Australia

Abstract

I estimate the effects of Australian monetary policy using a structural vector autoregression identified using a variety of sign restrictions and a prior‐robust approach to Bayesian inference. Some identifying restrictions are not particularly informative. However, combining the restrictions allows us to draw useful inferences. The estimates suggest that an increase in the cash rate lowers output and consumer prices at horizons beyond a year or so. The results are consistent with the output response to a 100 basis point increase in the cash rate lying towards the upper end of the range of existing estimates.

Publisher

Wiley

Subject

Economics and Econometrics

Reference61 articles.

1. Narrative Sign Restrictions for SVARs

2. Inference Based on Structural Vector Autoregressions Identified With Sign and Zero Restrictions: Theory and Applications

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4. Inference in Bayesian Proxy-SVARs

5. Ballantyne A. T.Cusbert R.Evans R.Guttmann J.Hambur A.Hamilton E.Kendall R.McCririck G.Nodari andD.Rees(2019) ‘MARTIN Has Its Place: A Macroeconometric Model of the Australian Economy’. Reserve Bank of Australia Research Discussion Paper No 2019‐07.

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