LEARNING, EXPECTATIONS FORMATION, AND THE PITFALLS OF OPTIMAL CONTROL MONETARY POLICY

Athanasios Orphanides () and John C. Williams ()

CAMA Working Papers from Australian National University, Centre for Applied Macroeconomic Analysis

Abstract: This paper examines the robustness characteristics of optimal control policies derived un- der the assumption of rational expectations to alternative models of expectations. We assume that agents have imperfect knowledge about the precise structure of the economy and form expectations using a forecasting model that they continuously update based on incoming data. We find that the optimal control policy derived under the assumption of rational expectations can perform poorly when expectations deviate modestly from rational expectations. We then show that the optimal control policy can be made more robust by deemphasizing the stabilization of real economic activity and interest rates relative to infla- tion in the central bank loss function. That is, robustness to learning provides an incentive to employ a "conservative" central banker. We then examine two types of simple monetary policy rules from the literature that have been found to be robust to model misspecification in other contexts. We find that these policies are robust to empirically plausible parame- terizations of the learning models and perform about as well or better than optimal control policies.

JEL-codes: E52 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cba, nep-mac and nep-mon
Date: Written 2008-04
View list of references

Downloads: (external link)
http://cama.anu.edu.au/Working%20Papers/Papers/200 ... _Williams_172008.pdf (application/pdf)

Related works:
Working Paper: Learning, expectations formation and the pitfalls of optimal control monetary policy (2008)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Access Statistics for this paper

More papers in CAMA Working Papers from Australian National University, Centre for Applied Macroeconomic Analysis
Contact information at EDIRC.
Series data maintained by ().