(Taylor) Rules versus Discretion in U.S. Monetary Policy
26 Pages Posted: 19 Jul 2013 Last revised: 9 Jul 2014
Date Written: August 2, 2013
Abstract
The Taylor rule has been the dominant metric for monetary policy evaluation over the past 20 years, and it has become common practice to identify periods where policy either adheres closely to or deviates from the Taylor rule benchmark. The purpose of this paper is to identify (Taylor) rules-based and discretionary eras solely from the data so that knowledge of subsequent economic outcomes cannot influence the choice of the dates. We define Taylor rules-based and discretionary eras by smaller and larger Taylor rule deviations, the absolute value of the difference between the actual federal funds rate and the federal funds rate prescribed by the original Taylor rule, and use tests for multiple structural changes and Markov switching models to identify the eras. Monetary policy in the U.S. is characterized by a Taylor rules-based (low deviations) era until 1974, a discretionary (high deviations) era from 1974 to about 1985, a rules-based era from about 1985 to 2000, and a discretionary era from 2001 to 2008. The Taylor rule deviations are about three times as large in the discretionary eras than in the rules-based eras and are almost four times larger in the most discretionary era (1974 to 1984) than in the least discretionary era (1985 to 2000). With the Markov switching models, which allow for regime changes at the beginning and end of the sample, we also identify a discretionary era from 1965 to 1968 and a rules-based era in 2006 and 2007. The discretionary and rules-based eras closely correspond to periods where the Taylor rule deviations are above and below two percent.
Keywords: Taylor rule, monetary rules, discretion, structural changes, Markov switching
JEL Classification: E47, E52, E42
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
Forecasting with a Real-Time Data Set for Macroeconomists
By Dean Croushore and Tom Stark
-
A Real-Time Data Set for Macroeconomists: Does Data Vintage Matter for Forecasting?
By Dean Croushore and Tom Stark
-
A Real-Time Data Set for Macroeconomics
By Dean Croushore and Tom Stark
-
The Use and Abuse of 'Real-Time' Data in Economic Forecasting
By Evan F. Koenig, Sheila Dolmas, ...
-
Does Data Vintage Matter for Forecasting?
By Dean Croushore and Tom Stark
-
Forecast Uncertainties in Macroeconometric Modelling: An Application to the UK Economy
By Anthony Garratt, Kevin Lee, ...
-
Data Revisions and the Identification of Monetary Policy Shocks
By Dean Croushore and Charles L. Evans
-
Data Revisions and the Identification of Monetary Policy Shocks
By Dean Croushore and Charles L. Evans