Solving rational expectations models at first order: what Dynare does
AbstractThis paper describes in detail the algorithm implemented in Dynare for computing the first order approximated solution of a nonlinear rational expectations model. The core of the algorithm is a generalized Schur decomposition (also known as the QZ decomposition), as advocated by several authors in the litterature. The contribution of the present paper is to focus on implementation details that make the algorithm more generic and more efficient, especially for large models.
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Bibliographic InfoPaper provided by CEPREMAP in its series Dynare Working Papers with number 2.
Length: 10 pages
Date of creation: Apr 2011
Date of revision:
Dynare; Numerical methods; Perturbation; Rational expectations;
Find related papers by JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
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- Enrique Martínez-García & Diego Vilán & Mark Wynne, 2012. "Bayesian estimation of NOEM models: identification and inference in small samples," Globalization and Monetary Policy Institute Working Paper 105, Federal Reserve Bank of Dallas.
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