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, 2005, and Giordani and Soderlind … rational expectations can also be applied to robust control problems, with the advantage that they bypass the task, often …

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 … rational expectations can also be applied to robust control problems, with the advantage that they bypass the task, often …

economic conditions and to uncertainty aversion (robust control). We use a regime switching process rather than the popular … premia seem to be higher at business cycle troughs than they are at peaks. As for the robust control feature of the model, we … clear advantage of using the robust control approach is that the portfolio rule gives rise to the risk premium due to …

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 …

approach, the medicine of robust control turns out to be too potent for the disease of misspecification. In the most parametric …

values given on p. 18 of the HST paper they compute the robust control solution using DUALI software. In this paper the …

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 …