Algorithms for solving dynamic models with occasionally binding constraints

We describe and compare several algorithms for approximating the solution to a model in which inequality constraints occasionally bind. Their performance is evaluated and compared using various parameterizations of the one sector growth model with irreversible investment. We develop parameterized expectation algorithms which, on the basis of speed, accuracy and convenience of implementation, appear to dominate the other algorithms.

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Year of publication:	1997
Authors:	Christiano, Lawrence J. ; Fisher, Jonas D.M.
Institutions:	Federal Reserve Bank of Chicago
Subject:	Econometric models

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Series:	Working Paper Series, Macroeconomic Issues.
Type of publication:	Book / Working Paper
Notes:	Number WP-97-15
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005724355