We analyze ecosystem management under `unmeasurable' Knightian uncertainty or ambiguity which, given the uncertainties characterizing ecosystems, might be a more appropriate framework relative to the classic risk case (measurable uncertainty). This approach is used as a formal way of modelling...

The precautionary principle (PP) applied to environmental policy stipulates that, in the presence of physical uncertainty, society must take robust preventive action to guard against worst-case outcomes. It follows that the higher the degree of uncertainty, the more aggressive this preventive...

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 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...

Knightian uncertainty in climate sensitivity is analyzed in a two sectoral integrated assessment model (IAM), based on an extension of DICE. A representative household that expresses ambiguity aversion uses robust control to identify robust climate policy feedback rules that work well over IPCC...

Central banks face uncertainty about potential output. We model optimal monetary policy under discretion in a situation in which the central bank adopts a min–max approach to policy. The case for appointing a conservative central banker who puts a larger weight on inflation stabilization...

Since Keynes no economist would deny that expectations under uncer- tain conditions matter for the conduct of monetary policy, but still opin- ions about their formation are diverse. We build a hybrid New Keynesian Framework to analyze the influence of model uncertainty on optimal in- terest...

We examine learning, model misspecification, and robust policy responses to misspecification in a quasi-real-time environment. The laboratory for the analysis is the Sargent (1999) explanation for the origins of inflation in the 1970's and the subsequent disinflation. Three robust policy rules...