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Algorithms for solving dynamic models with occasionally binding constraints
Lawrence Christiano () and
Jonas Fisher ()
No 9711, Working Paper from Federal Reserve Bank of Cleveland
Abstract:
A description and comparison of several algorithms for approximating the solution to a model in which inequality constraints occasionally bind. Their performance is evaluated using various parameterizations of the one-sector growth model with irreversible investment.
Date: 1997
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Related works: Working Paper: Algorithms for solving dynamic models with occasionally binding constraints (1994) Working Paper: Algorithms for Solving Dynamic Models with Occasionally Binding Constraints (1997) Working Paper: Algorithms for solving dynamic models with occasionally binding constraints (1997) Working Paper: Algorithms for solving dynamic models with occasionally binding constraints (1994) Journal Article: Algorithms for solving dynamic models with occasionally binding constraints (2000) This item may be available elsewhere in EconPapers: Search for items with the same title.
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