Robust Control and Monetary Policy Delegation

  • G. Diana
  • M. Sidiropoulos
Part of the New Economic Windows book series (NEW)


In the recent literature on optimal monetary policy, policymakers are assumed to know the true model of the economy and observe accurately all relevant variables. The sources and properties of economic disturbance are also taken to be known. Uncertainty in this case arises only due to the unknown future realisations of these disturbances. In this context, “uncertainty” means the realisation of an event whose true probability distribution is known. Pure uncertainty, where the state space of outcomes is known but one is unable to assign probabilities, has largely been ignored. In practice, the policymaker’s choice is made in the face of tremendous uncertainty about the true structure of the economy, the impact policy actions have on the economy, and even about the current state of the economy. The policymaker is therefore unsure about his model, in the sense that there is a group of approximate models that he also considers as possibly true. Because uncertainty is pervasive, it is important to understand how alternative policies work when the policymaker cannot accurately observe important macro variables or when he employs a model of the economy that is incorrect in unknown ways.


Monetary Policy Central Banker Robust Control Optimal Degree True Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Hansen, L. P. and Sargent, T. J., (2003): Robust Control for Forward Looking Models, Journal of Monetary Economics, 50(3), 586–604.Google Scholar
  2. Hansen, L. P. and Sargent, T. J., (2004): Robust Control and Model Uncertainty in Macroeconomics, Princeton University Press.Google Scholar
  3. Rogoff, K., (1985): The Optimal Degree of Commitment to an Intermediate Monetary Target. Quarterly Journal of Economics, 100, 1169–1189.CrossRefGoogle Scholar
  4. Roseta-Palma C. and A. Xepapadeas, (2004): Robust Control in Water Management, Journal of Risk and Uncertainty 29(1), 21–34MATHCrossRefGoogle Scholar
  5. Walsh, C., (2004): Robustly Optimal Instrument Rules and Robust Control: An Equivalence Result, Journal of Money, Credit, and Banking, 36(6), 1105–1113.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Italia 2007

Authors and Affiliations

  • G. Diana
    • 1
  • M. Sidiropoulos
    • 1
  1. 1.BETA-ThemeUniversity Louis Pasteur of StrasbourgFrance

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