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Some linear-Quadratic Solution Methods to Stochastic Nonlinear Rational Expectations Models

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Author Info
Maurice Roche ()

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Abstract

Commonly used linear-quadratic solution methods to nonlinear models are described in detail using a closed economy real business cycle model as an illustration. We find that all method yield identical coefficients on optimal decision rules. Some methods are easier to use in economies where distortions do not allow a planners solution to solve for the competitive equilibrium. Finally, we find that for some methods only a few modifications to existing computer programs are needed when solving different models.

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Publisher Info
Paper provided by Department of Economics, Finance and Accounting, National University of Ireland - Maynooth in its series Economics, Finance and Accounting Department Working Paper Series with number n510594.

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Length: 17 pages
Date of creation: 1994
Date of revision:
Handle: RePEc:may:mayecw:n510594

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Postal: Maynooth, Co. Kildare
Phone: 353-1-7083728
Fax: 353-1-7083934
Web page: http://www.may.ie/academic/economics/
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Related research
Keywords: ECONOMIC MODELS STOCHASTIC ANALYSIS EXPECTATIONS ECONOMETRICS

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