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A Robust and Efficient Method for Solving Nonlinear Rational Expectations Models


Douglas Laxton


International Monetary Fund (IMF) - Research Department

September 1996

IMF Working Paper No. 96/106

Abstract:     
The development and use of forward-looking macro models in policymaking institutions has proceeded at a pace much slower than predicted in the early 1980s. An important reason is that researchers have not had access to robust and efficient solution techniques for solving nonlinear forward-looking models. This paper discusses the properties of a new algorithm that is used for solving MULTIMOD, the IMF`s multicountry model of the world economy. This algorithm is considerably faster and much less prone to simulation failures than to traditional algorithms and can also be used to solve individual country models of the same size.

Number of Pages in PDF File: 30

JEL Classification: C63, C88, D84, E17

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Date posted: February 15, 2006  

Suggested Citation

Laxton, Douglas, A Robust and Efficient Method for Solving Nonlinear Rational Expectations Models (September 1996). IMF Working Paper, Vol. , pp. 1-30, 1996. Available at SSRN: http://ssrn.com/abstract=883002

Contact Information

Douglas Laxton
International Monetary Fund (IMF) - Research Department ( email )
700 19th Street NW
Washington, DC 20431
United States
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