Mr. Taylor and the Central Bank: Two Inference Exercises

17 Pages Posted: 8 Apr 2019

See all articles by Francesco Luna

Francesco Luna

International Monetary Fund (IMF)

Date Written: February 2019


Many observers argue that the world has changed after the latest financial crisis. If that is the case, monetary policy and the process informing it will have to be reconsidered and 'learned' anew by all stakeholders. Perhaps, a new Taylor rule will emerge. A 'Taylor rule' is predicated upon two successful inference exercises: one by the researcher who is interested in identifying the Central Bank's behavior and one by the Central Bank, which tries to infer how the economy works and interacts with its monetary policy interventions. Because of certain granularities imposed by institutional arrangements and the need for transparent communication in policy making, this paper proposes an analytical framework based on computability theory to model these inference exercises and to assess their general possibility of success. So, is it possible to infer/learn the central bank's policy rule? The answer is a qualified positive and depends on the 'complexity' of the economy and on the quality of information. As for policy implications, the results show that transparency and understandable 'reaction functions' will go a long way in fostering learnability.

Keywords: Central banks, Central banking, Monetary policy instruments, Monetary policy, Monetary authorities, Taylor Rule, learning, computability, computable economics, rational expectations, learnability, policy rule, central bank, time function

JEL Classification: C00, C69, E58, E52, G21, E01, E63, E31

Suggested Citation

Luna, Francesco, Mr. Taylor and the Central Bank: Two Inference Exercises (February 2019). IMF Working Paper No. 19/33. Available at SSRN:

Francesco Luna (Contact Author)

International Monetary Fund (IMF) ( email )

700 19th Street NW
Washington, DC 20431
United States

Here is the Coronavirus
related research on SSRN

Paper statistics

Abstract Views
PlumX Metrics