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, 2006, and Giordani and Söderlind, 2004). In this paper we show that the structural-form...

This paper studies how a central bank’s preference for robustness against model misspecification affects the design of monetary policy in a New-Keynesian model of a small open economy. Due to the simple model structure, we are able to solve analytically for the optimal robust policy rule, and...

We study the effects of model uncertainty in a simple New-Keynesian model using robust control techniques.Due to the simple model structure, we are able to find closed-form solutions for the robust control problem, analysing both instrument rules and targeting rules under different timing...

This paper studies how a central bank's preference for robustness against model misspecification affects the design of monetary policy in a New-Keynesian model of a small open economy.Due to the simple model structure, we are able to solve analytically for the optimal robust policy rule, and we...

We study the effects of model uncertainty in a simple New-Keynesian model using robust control techniques. Due to the simple model structure, we are able to find closed-form solutions for the robust control problem, analysing both instrument rules and targeting rules under different timing...

We study the effects of optimized monetary policy in a semi-structural, estimated small open economy in situations where the policymaker has either complete or less than complete confidence in the model being free from misspecification errors. We use the robust control techniques developed by...

We study the effects of model uncertainty in a simple New-Keynesian model using robust control techniques. Due to the simple model structure, we are able to find closed-form solutions for the robust control problem, analysing both instrument rules and targeting rules under different timing...

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 2006 and Giordani and Soderlind 2004). In this paper we show that the structural-form...

We study the effects of model uncertainty in a simple New Keynesian model using robustcontrol techniques. Due to the simple model structure, we are able to find closed-formsolutions for the robust control problem, analyzing both instrument rules and targetingrules under different timing...

We use robust control techniques to study the effects of model uncertainty on monetary policy in an estimated, semi-structural, small-open-economy model of the U.K. Compared to the closed economy, the presence of an exchange rate channel for monetary policy not only produces new trade-offs for...