A Worst--Case Approach to Inflation Zone Targeting
AbstractIn this paper we present an algorithm for continuous minimax problem where a quasi--Newton direction conditional on appropriate maximizers is used. The direction involves a quadratic subproblem to compute the minimum norm subgradient. An application of the algorithm to a monetary policy design is given. A simple model, due to Orphanides and Wieland, is used for practice of inflation zone targeting. In this paper, however, the approach is different as we minimize the worst--case with respect to inflation and economic activity. Also a comparison with the $H^infinity approach is included.
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2001 with number 15.
Date of creation: 01 Apr 2001
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minimax optimization; inflation targeting; uncertainty;
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
- E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
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