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- W2000695401 abstract "Solving dynamic models with inequality constraints poses a challenging problem for two major reasons: dynamic programming techniques are reliable but often slow, whereas Euler equation‐based methods are faster but have problematic or unknown convergence properties. This study attempts to bridge this gap. I show that a common iterative procedure on the first‐order conditions – usually referred to as time iteration – delivers a sequence of approximate policy functions that converges to the true solution under a wide range of circumstances. These circumstances extend to a large set of endogenous and exogenous state variables as well as a very broad spectrum of occasionally binding constraints." @default.
- W2000695401 created "2016-06-24" @default.
- W2000695401 creator A5088454322 @default.
- W2000695401 date "2014-06-12" @default.
- W2000695401 modified "2023-09-26" @default.
- W2000695401 title "Inequality Constraints and Euler Equation-based Solution Methods" @default.
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- W2000695401 doi "https://doi.org/10.1111/ecoj.12115" @default.
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