Solving Non-linear Rational Expectations Models By Eigenvalue-Eigenvector Decompositions

Alfonso Novales, Emilio Domínguez Irastorza, Javier Pérez and Jesus Ruiz

QM&RBC Codes from Quantitative Macroeconomics & Real Business Cycles

Abstract: This code supports the text in Alfonso Novales, Emilio Dominguez, Javier J. Perez and Jesus Ruiz, Solving Non-linear Rational Expectations Models By Eigenvalue-Eigenvector Decompositions, in Ramon Marimon and Andrew Scott (eds), Computational Methods for the Study of Dynamic Economies, Chapter 4, Oxford University Press. This chapter deals with a solution to rational expectations models, which is based on eigenvalue/eigenvector decompositions. The methods gives an exact solution in th case of linear expectations and an approximate solution in the case of nonlinear models. The programs execute the calculations of sections 4 and 6 of the chapter.

Language: Matlab
Date: 1998
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Citations: View citations in EconPapers (2)

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https://dge.repec.org/codes/marimon-scott/Novales/ program code (application/x-matlab)
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Persistent link: https://EconPapers.repec.org/RePEc:dge:qmrbcd:124

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