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Managing Beliefs about Monetary Policy under Discretion?

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Abstract

Optimal monetary policy becomes tricky when the central bank has better information than the public: Policy does not only affect economic fundamentals, but also people’s beliefs. For a general class of widely studied DSGE models, this paper derives the optimal discretionary policy under hidden information. Illustrated with a simple New Keynesian model, the introduction of hidden information has striking effects on discretionary policies: Policy losses are better under hidden information than under full transparency. Looking at Markov-perfect policies excludes reputational mechanisms via history dependent strategies. Under full transparency, discretion policies are then myopic, since a current policymaker cannot influence future decisions. But imperfect information adds public beliefs as a distinct, endogenous state variable. Managing beliefs connects the actions of policymakers such that they realize the inflationary consequences of expansionary policies. The optimal policy shares similarities with those from commitment models. Additionally, disinflations are pursued more vigorously the larger the credibility problems from hidden information. Optimal policy also responds to belief shocks, which shift public perceptions about fundamentals even when those fundamentals are unchanged.

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  • Elmar Mertens, 2008. "Managing Beliefs about Monetary Policy under Discretion?," Working Papers 08.02, Swiss National Bank, Study Center Gerzensee.
  • Handle: RePEc:szg:worpap:0802
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    1. Elmar Mertens, 2010. "Discreet Commitments and Discretion of Policymakers with Private Information," 2010 Meeting Papers 763, Society for Economic Dynamics.
    2. Yang Lu & Ernesto Pasten & Robert King, 2013. "Policy design with private sector skepticism in the textbook New Keynesian model," 2013 Meeting Papers 241, Society for Economic Dynamics.
    3. Cogley, Timothy & Matthes, Christian & Sbordone, Argia M., 2015. "Optimized Taylor rules for disinflation when agents are learning," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 131-147.
    4. Thomas Lubik & Christian Matthes & Elmar Mertens, 2023. "Indeterminacy and Imperfect Information," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 37-57, July.
    5. Ricardo Nunes & Ali Ozdagli & Jenny Tang, 2022. "Interest Rate Surprises: A Tale of Two Shocks," Working Papers 2213, Federal Reserve Bank of Dallas.
    6. Givens, Gregory E. & Salemi, Michael K., 2015. "Inferring monetary policy objectives with a partially observed state," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 190-208.
    7. Alexander Doser & Ricardo Nunes & Nikhil Rao & Viacheslav Sheremirov, 2023. "Inflation expectations and nonlinearities in the Phillips curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 453-471, June.
    8. Robert G. King & Yang K. Lu & Ernesto S. Pastén, 2008. "Managing Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1625-1666, December.
    9. Thomas Lubik & Christian Matthes & Elmar Mertens, 2023. "Indeterminacy and Imperfect Information," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 37-57, July.
    10. Christian Matthes, 2015. "Figuring Out the Fed—Beliefs about Policymakers and Gains from Transparency," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(1), pages 1-29, February.
    11. Jenny Tang, 2013. "Uncertainty and the signaling channel of monetary policy," Working Papers 15-8, Federal Reserve Bank of Boston.
    12. Nunes, Ricardo, 2008. "Delegation and Loose Commitment," MPRA Paper 11555, University Library of Munich, Germany.
    13. Christian Matthes & Argia M. Sbordone & Timothy Cogley, 2011. "Optimal Disinflation Under Learning," 2011 Meeting Papers 74, Society for Economic Dynamics.

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