Time Varying Structural Vector Autoregressions and Monetary Policy

S-Tier
Journal: Review of Economic Studies
Year: 2005
Volume: 72
Issue: 3
Pages: 821-852

Score contribution per author:

8.043 = (α=2.01 / 1 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Monetary policy and the private sector behaviour of the U.S. economy are modelled as a time varying structural vector autoregression, where the sources of time variation are both the coefficients and the variance covariance matrix of the innovations. The paper develops a new, simple modelling strategy for the law of motion of the variance covariance matrix and proposes an efficient Markov chain Monte Carlo algorithm for the model likelihood/posterior numerical evaluation. The main empirical conclusions are: (1) both systematic and non-systematic monetary policy have changed during the last 40 years—in particular, systematic responses of the interest rate to inflation and unemployment exhibit a trend toward a more aggressive behaviour, despite remarkable oscillations; (2) this has had a negligible effect on the rest of the economy. The role played by exogenous non-policy shocks seems more important than interest rate policy in explaining the high inflation and unemployment episodes in recent U.S. economic history. Copyright 2005, Wiley-Blackwell.

Technical Details

RePEc Handle
repec:oup:restud:v:72:y:2005:i:3:p:821-852
Journal Field
General
Author Count
1
Added to Database
2026-01-29