Dynare: Reference Manual Version 4
Dynare is a software platform for handling a wide class of economic models, in particular dynamic stochastic general equilibrium (DSGE) and overlapping generations (OLG) models. The models solved by Dynare include those relying on the rational expectations hypothesis, wherein agents form their expectations about the future in a way consistent with the model. But Dynare is also able to handle models where expectations are formed differently: on one extreme, models where agents perfectly anticipate the future; on the other extreme, models where agents have limited rationality or imperfect knowledge of the state of the economy and, hence, form their expectations through a learning process. Dynare offers a user-friendly and intuitive way of describing these models. It is able to perform simulations of the model given a calibration of the model parameters and is also able to estimate these parameters given a dataset. Dynare is a free software, which means that it can be downloaded free of charge, that its source code is freely available, and that it can be used for both non-profit and for-profit purposes.
|Date of creation:||Apr 2011|
|Date of revision:||Jul 2014|
|Contact details of provider:|| Postal: 48 boulevard Jourdan - 75014 PARIS|
Phone: +33(0) 1 43 13 62 30
Fax: +33(0) 1 43 13 62 32
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505, The Johns Hopkins University,Department of Economics.
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- Jesús Fernández-Villaverde & Juan F. Rubio, 2003.
"Comparing Dynamic Equilibrium Economies to Data,"
Levine's Working Paper Archive
506439000000000309, David K. Levine.
- Collard, Fabrice & Juillard, Michel, 2001.
"Accuracy of stochastic perturbation methods: The case of asset pricing models,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 25(6-7), pages 979-999, June.
- Collard, Fabrice & Juillard, Michel, 1999. "Accuracy of stochastic perturbuation methods: the case of asset pricing models," CEPREMAP Working Papers (Couverture Orange) 9922, CEPREMAP.
- Juillard, Michel, 1996. "Dynare : a program for the resolution and simulation of dynamic models with forward variables through the use of a relaxation algorithm," CEPREMAP Working Papers (Couverture Orange) 9602, CEPREMAP.
- Collard, Fabrice & Juillard, Michel, 2001. "A Higher-Order Taylor Expansion Approach to Simulation of Stochastic Forward-Looking Models with an Application to a Nonlinear Phillips Curve Model," Computational Economics, Society for Computational Economics, vol. 17(2-3), pages 125-39, June.
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