Monetary policy under uncertainty in micro-founded macroeconometric models
By: Andrew T. Levin ...[et al.].
Contributors: Levin, Andrew T.; National Bureau of Economic Research.
Series: NBER working paper series ;; working paper 11523; Working paper series (National Bureau of Economic Research : Online) ;; working paper no. 11523.
Publisher: National Bureau of Economic Research
Published: 2005
Place of publication: Cambridge, MA
Language: eng
Format: Electronic resource
Subjects: Monetary policy -- United States -- Econometric models.; Uncertainty -- Econometric models.; Bayesian statistical decision theory.
Description: "We use a micro-founded macroeconometric modeling framework to investigate the design of monetary policy when the central bank faces uncertainty about the true structure of the economy.  We apply Bayesian methods to estimate the parameters of the baseline specification using postwar U.S.  data, and then determine the policy under commitment that maximizes household welfare.  We find that the performance of the optimal policy is closely matched by a simple operational rule that focuses solely on stabilizing nominal wage inflation.  Furthermore, this simple wage stabilization rule is remarkably robust to uncertainty about the model parameters and to various assumptions regarding the nature and incidence of the innovations.  However, the characteristics of optimal policy are very sensitive to the specification of the wage contracting mechanism, thereby highlighting the importance of additional research regarding the structure of labor markets and wage determination"--National Bureau of Economic Research web site.
Notes: Includes bibliographical references.
Title from PDF file as viewed on 8/8/2005.
Also available in print.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.