Methods for Robust Control

Richard Dennis, Kai Leitemo and Ulf Söderström

No 2006-10, Working Paper Series from Federal Reserve Bank of San Francisco

Abstract: Robust control allows policymakers to formulate policies that guard against model misspecification. The principal tools used to solve robust control problems are state-space methods (see Hansen and Sargent 2008, and Giordani and Soderlind 2004). In this paper we show that the structural-form methods developed by Dennis (2007) to solve control problems with rational expectations can also be applied to robust control problems, with the advantage that they bypass the task, often onerous, of having to express the reference model in state-space form. In addition, we show how to implement two different timing assumptions with distinct implications for the robust policy and the economy. We apply our methods to a New Keynesian dynamic stochastic general equilibrium model and find that robustness has important effects on policy and the economy.

Keywords: Robust control; Monetary policy; Econometric models (search for similar items in EconPapers)
JEL-codes: C61 E52 E58 (search for similar items in EconPapers)
Pages: 23
Date: 2009-03-01
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Citations: View citations in EconPapers (6)

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Related works:
Journal Article: Methods for robust control (2009)
Working Paper: Methods for Robust Control (2006)
Working Paper: Methods for Robust Control (2006)
Working Paper: Methods for Robust Control (2006)
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Persistent link: https://EconPapers.repec.org/RePEc:fip:fedfwp:2006-10

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DOI: 10.24148/wp2006-10

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