Abstract
This paper studies the problem of an agent who wants to prevent the state from exceeding a critical threshold. Even though the agent is presumed to know the model, the optimal policy is computed by solving a conventional robust control problem. That is, robustness is induced here by objectives rather than uncertainty, and so is an example of the duality between risk-sensitivity and robustness. However, here the agent only incurs costs upon escape to a critical region, not during 'normal times'. We argue that this is often a more realistic model of macroeconomic policymaking.
Original language | English (US) |
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Pages (from-to) | 1-12 |
Number of pages | 12 |
Journal | Journal of Economic Dynamics and Control |
Volume | 42 |
DOIs | |
State | Published - May 2014 |
Keywords
- Large deviations
- Robust control
ASJC Scopus subject areas
- Economics and Econometrics
- Control and Optimization
- Applied Mathematics