News Shocks and Optimal Monetary Policy

42 Pages Posted: 17 Feb 2007 Last revised: 30 Sep 2022

See all articles by Guido Lorenzoni

Guido Lorenzoni

Northwestern University; National Bureau of Economic Research (NBER)

Date Written: February 2007

Abstract

This paper studies monetary policy in a model where output fluctuations are caused by shocks to public beliefs on the economy's fundamentals. I ask whether monetary policy can offset the effect of these shocks and whether this offsetting is socially desirable. I consider an environment with dispersed information and two aggregate shocks: a productivity shock and a "news shock" which affects aggregate beliefs. Neither the central bank nor individual agents can distinguish the two shocks when they hit the economy. The main results are: (1) despite the lack of superior information an appropriate monetary policy rule can change the economy's response to the two shocks; (2) monetary policy can achieve full aggregate stabilization, that is, it can induce a path for aggregate output that is identical to that which would arise under full information; (3) however, full aggregate stabilization is typically not optimal. The fact that monetary policy can tackle the two shocks separately is due to two crucial ingredients. First, agents are forward looking. Second, current fundamental shocks will become public information in the future and the central bank will be able to respond to them at that time. By announcing its response to future information, the central bank can influence the expected real interest rate faced by agents with different beliefs and, thus, induce an optimal use of the information dispersed in the economy.

Suggested Citation

Lorenzoni, Guido, News Shocks and Optimal Monetary Policy (February 2007). NBER Working Paper No. w12898, Available at SSRN: https://ssrn.com/abstract=963732

Guido Lorenzoni (Contact Author)

Northwestern University ( email )

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Evanston, IL 60208
United States

National Bureau of Economic Research (NBER) ( email )

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Cambridge, MA 02138
United States

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