Robustness and Information Processing
AbstractThis paper attempts to relate two apparently distinct literatures. One is the so-called `robust control' literature. Robust control methods were developed by engineers during the 1980s, and are designed to make traditional Linear-Quadratic control more robust to model misspecification. Rather than specify an explicit distribution for a model's disturbances, robust control methods are based on a worst-case analysis of the disturbances, and can be implemented by solving dynamic zero-sum games. Hansen and Sargent (2004) have pioneered the application of these methods in economics. Economists are attracted by robust control because it apparently provides a workable formalization of Knightian Uncertainty. (Copyright: Elsevier)
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Bibliographic InfoArticle provided by Elsevier for the Society for Economic Dynamics in its journal Review of Economic Dynamics.
Volume (Year): 9 (2006)
Issue (Month): 1 (January)
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Find related papers by JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
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