This paper investigates policy deviations from linear Taylor rules motivated by the risk management approach followed by the Fed during the Greenspan era. We estimate a nonlinear monetary policy rule via a logistic smoothing transition regression model where policy-makers’ judgment, proxied by economically meaningful variables, drives the transition across policy regimes. We find that ignoring judgment-induced nonlinearities while estimating Taylor rules has remarkable costs in terms of fit: above 250 bps in 10 quarters. Although linear Taylor rules describe well the broad contours of monetary policy, they fail to detect relevant policy decisions driven by policy-makers’ judgment.
Policy regime changes, judgment and Taylor rules in the Greenspan era
FLAMINI, ALESSANDRO;
2011-01-01
Abstract
This paper investigates policy deviations from linear Taylor rules motivated by the risk management approach followed by the Fed during the Greenspan era. We estimate a nonlinear monetary policy rule via a logistic smoothing transition regression model where policy-makers’ judgment, proxied by economically meaningful variables, drives the transition across policy regimes. We find that ignoring judgment-induced nonlinearities while estimating Taylor rules has remarkable costs in terms of fit: above 250 bps in 10 quarters. Although linear Taylor rules describe well the broad contours of monetary policy, they fail to detect relevant policy decisions driven by policy-makers’ judgment.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
