Dear Dynare friends,
We are pleased to announce the release of Dynare 4.3.0. This major release adds
new features and fixes various bugs.
The Windows and Mac packages are already available for download at:
http://www.dynare.org/download/dynare-4.3
The GNU/Linux packages should follow soon.
All users are strongly encouraged to upgrade.
The new release is compatible with MATLAB versions ranging from 7.0 (R14) to
7.14 (R2012a) and with GNU Octave versions ranging from 3.2 to 3.6.
Here is the list of the main user-visible changes:
* New major algorithms:
- Nonlinear estimation with a particle filter based on a second order
approximation of the model, as in Fernández-Villaverde and Rubio-Ramírez
(2005); this is triggered by setting `order=2' in the `estimation' command
- Extended path solution method as in Fair and Taylor (1983); see the
`extended_path' command
- Support for Markov-Switching Structural Bayesian VARs (MS-SBVAR) along the
lines of Sims, Waggoner and Zha (2008) (see the dedicated section in the
reference manual)
- Optimal policy under discretion along the lines of Dennis (2007); see the
`discretionary_policy' command
- Identification analysis along the lines of Iskrev (2010); see the
`identification' command
- The Global Sensitivity Analysis toolbox (Ratto, 2008) is now part of the
official Dynare distribution
* Other algorithmic improvements:
- Stochastic simulation and estimation can benefit from block decomposition
(with the `block' option of `model'; only at 1st order)
- Possibility of running smoother and filter on a calibrated model; see the
`calib_smoother' command
- Possibility of doing conditional forecast on a calibrated model; see the
`parameter_set=calibration' option of the `conditional_forecast' command
- The default algorithm for deterministic simulations has changed and is now
based on sparse matrices; the historical algorithm (Laffargue, Boucekkine
and Juillard) is still available under the `stack_solve_algo=6'option of the
`simul' command
- Possibility of using an analytic gradient for the estimation; see the
`analytic_derivation' option of the `estimation' command
- Implementation of the Nelder-Mead simplex based optimization routine for
computing the posterior mode; available under the `mode_compute=8' option of
the `estimation' command
- Implementation of the CMA Evolution Strategy algorithm for computing the
posterior mode; available under the `mode_compute=9' option of the
`estimation' command
- New solvers for Lyapunov equations which can accelerate the estimation of
large models; see the `lyapunov' option of the `estimation' command
- New solvers for Sylvester equations which can accelerate the resolution of
large models with block decomposition; see the `sylvester' option of the
`stoch_simul' and `estimation' commands
- The `ramsey_policy' command now displays the planner objective value
function under Ramsey policy and stores it in `oo_.planner_objective_value'
- Theoretical autocovariances are now computed when the `block' option is
present
- The `linear' option is now compatible with the `block' and `bytecode'
options
- The `loglinear' option now works with purely backward or forward models at
first order
* New features in the user interface:
- New mathematical primitives allowed in model block: `abs()', `sign()'
- The behavior with respect to graphs has changed:
+ By default, Dynare now displays graphs and saves them to disk in EPS
format only
+ The format can be changed to PDF or FIG with the new `graph_format'
option
+ It is possible to save graphs to disk without displaying them with the
new `nodisplay' option
- New `nocheck' option to the `steady' command: tells not to check the steady
state and accept values given by the user (useful for models with unit
roots)
- A series of deterministic shocks can be passed as a pre-defined vector in
the `values' statement of a `shocks' block
- New option `sub_draws' in the `estimation' command for controlling the
number of draws used in computing the posterior distributions of various
objects
- New macroprocessor command `@#ifdef' for testing if a macro-variable is
defined
- New option `irf_shocks' of the `stoch_simul' command, to allow IRFs to be
created only for certain exogenous variables
- In the parallel engine, possibility of assigning different weights to nodes
in the cluster and of creating clusters comprised of nodes with different
operating systems (see the relevant section in the reference manual)
- It is now possible to redefine a parameter in the `steady_state_model' block
(use with caution)
- New option `maxit' in the `simul' and `steady' commands to determine the
maximum number of iterations of the nonlinear solver
- New option `homotopy_force_continue' in the `steady' command to control the
behavior when a homotopy fails
- Possibility of globally altering the defaults of options by providing a file
in the `GlobalInitFile' field of the configuration file (use with caution)
- New option `nolog' to the `dynare' command line to avoid creating a logfile
- New option `-D' to the `dynare' command line with for defining
macro-variables
* Miscellaneous changes:
- The `use_dll' option of `model' now creates a MEX file for the static model
in addition to that for the dynamic model
- The `unit_root_vars' command is now obsolete; use the `diffuse_filter'
option of the `estimation' command instead
- New option `--burn' to Dynare++ to discard initial simulation points
- New top-level MATLAB/Octave command `internals' for internal documentation
and unitary tests
* Bugs and problems identified in version 4.2.5 and that have been fixed in
version 4.3.0:
- Backward models with the `loglinear' option were incorrectly handled
- Solving for hyperparameters of inverse gamma priors was sometimes crashing
- The deterministic solver for purely forward models was broken
- When running `estimation' or `identification' on models with non-diagonal
structural error covariance matrices, while not simultaneously estimating
the correlation between shocks (i.e. calibrating the correlation), the
off-diagonal elements were incorrectly handled or crashes were occuring
- When using the `prefilter' option, smoother plots were omitting the smoothed
observables
- In the rare case of entering and expression x as x^(alpha-1) with x being 0
in steady state and alpha being a parameter equal to 2, the Jacobian was
evaluating to 0 instead of 1
- Setting the prior for shock correlations was failing if a lower bound was not
explicitly specified
* References:
- Dennis, Richard (2007): “Optimal Policy In Rational Expectations Models: New
Solution Algorithms,” Macroeconomic Dynamics, 11(1), 31–55
- Fair, Ray and John Taylor (1983): “Solution and Maximum Likelihood
Estimation of Dynamic Nonlinear Rational Expectation Models,” Econometrica,
51, 1169–1185
- Fernández-Villaverde, Jesús and Juan Rubio-Ramírez (2005): “Estimating
Dynamic Equilibrium Economies: Linear versus Nonlinear Likelihood,” Journal
of Applied Econometrics, 20, 891–910
- Iskrev, Nikolay (2010): “Local identification in DSGE models,” Journal of
Monetary Economics, 57(2), 189–202
- Ratto, Marco (2008): “Analysing DSGE models with global sensitivity
analysis'', Computational Economics, 31, 115–139
- Sims, Christopher A., Daniel F. Waggoner and Tao Zha (2008): “Methods for
inference in large multiple-equation Markov-switching models,” Journal of
Econometrics, 146, 255–274
--
Sébastien Villemot
Researcher in Economics & Debian Maintainer
http://www.dynare.org/sebastien
Phone: +33-1-40-77-84-04 - GPG Key: 4096R/381A7594
We are pleased to announce the release of Dynare 4.2.5.
This is a bugfix release.
The Windows and Mac packages for the new release are already available
for download at the official Dynare website <http://www.dynare.org>.
Linux packages should follow soon.
All users are strongly encouraged to upgrade.
The new release is compatible with MATLAB versions ranging from 7.0 (R14) to
7.14 (R2012a) and with GNU Octave versions ranging from 3.0 to 3.6.
Note that GNU Octave users under Windows will have to upgrade to GNU Octave
version 3.6.1 (MinGW). The Octave installer can be downloaded at:
http://www.dynare.org/octave/Octave3.6.1_gcc4.6.2_20120303-setup.exe
Here is a non-exhaustive list of the problems identified in version 4.2.4 and
that have been fixed in version 4.2.5:
* The MATLAB optimization toolbox was sometimes not correctly detected even
when installed
* Using the inverse gamma distribution with extreme hyperparameter values
could lead to a crash
* Various issues in the accelerated deterministic solver with block
decomposition
* Various issues in the parallelization engine
* Compatibility issues with the Global Sensitivity Analysis toolbox
* The Dynare++ binary was broken in the Windows package because of a missing
dynamic library
--
Sébastien Villemot
Researcher in Economics & Debian Maintainer
http://www.dynare.org/sebastien
Phone: +33-1-40-77-84-04 - GPG Key: 4096R/381A7594
The Dynare Summer School 2012 will take place from June 18 to June 22,
2012 in Paris, France.
GOALS OF SUMMER SCHOOL
The school will provide an introduction to Dynare and to Dynamic
Stochastic General Equilibrium (DSGE) modeling. Dynare is a free sofware
for simulating and estimating DSGE models.
The courses will focus on simulation, estimation of DSGE models as well
as computation of optimal policy, identification and sensitivity
analysis. It will be also the occasion to introduce the new features in
Dynare 4.3 (to be released before the Summer School).
This Summer school is aimed at beginners as well as at more experienced
researchers. PhD students are encouraged to participate.
APPLICATION
Interested people should fill the form at:
http://www.dynare.org/django2/SummerSchool/
Application should be done *before April 1st, 2012*. You will have to
upload a CV and a recent research paper.
We will confirm acceptance by April 15, 2012.
People working in organizations member of DSGE-net (Bank of Finland,
Banque de France, Capital Group, European Central Bank, Federal Reserve
Bank of Atlanta, Norges Bank, Sverige Riksbank, Swiss National Bank)
should register via their network representative.
REGISTRATION FEE
- Registration fee for academics (including lunches and one diner, but
no accomodation): 150 €
- Registration fee for financial institutions not member of DSGE-net
(including lunches and one diner, but no accomodation): 1600 €
WORKSHOP VENUE
Banque de France
31 rue Croix des Petits Champs
75001 Paris
France
WORKSHOP ORGANIZATION
This is a “portable only” workshop. Each participant is required to
come with his/her portable computer with MATLAB version 7.0 or above
installed. We will provide WiFi access, but participants shouldn't rely
on it to access a MATLAB license server at their own institution. As an
alternative to MATLAB, it is possible to use the free software GNU
Octave, version 3.0 or higher (see
http://www.dynare.org/DynareWiki/DynareOctave).
WORKSHOP DRESSING CODE
Casual.
WORKSHOP ANIMATORS
- Stéphane Adjemian (CEPREMAP and Université du Maine)
- Michel Juillard (Banque de France)
- Ferhat Mihoubi (CEPREMAP and Université d’Évry)
- Sébastien Villemot (CEPREMAP and Paris School of Economics)
- Marco Ratto (Joint Research Centre, European Commission)
This workshop is organized with the support of Banque de France,
CEPREMAP and DSGE-net.
PRELIMINARY PROGRAM
See:
http://www.dynare.org/summerschool/2012/program.pdf
--
Sébastien Villemot
Researcher in Economics & Debian Maintainer
http://www.dynare.org/sebastien
Phone: +33-1-40-77-84-04 - GPG Key: 4096R/381A7594
Dear Dynare users and friends,
The 8th annual Dynare Conference will be held in Zurich (Switzerland) on
September 20–21, 2012.
The call for papers is enclosed.
Regards,
--
Sébastien Villemot
Researcher in Economics & Debian Maintainer
http://www.dynare.org/sebastien
Phone: +33-1-40-77-84-04 - GPG Key: 4096R/381A7594
Dear Dynare users,
We are pleased to announce the release of Dynare 4.2.4.
This is a bugfix release. It comes only a few days after the previous release,
because version 4.2.3 was affected by a critical bug (see below).
The Windows package for the new release is already available for download at
the official Dynare website <http://www.dynare.org>. The Mac and Linux packages
should follow soon.
All users are strongly encouraged to upgrade, especially those who have
installed the buggy 4.2.3 release.
The new release is compatible with MATLAB versions ranging from 7.0 (R14) to
7.13 (R2011b) and with GNU Octave versions ranging from 3.0 to 3.4.
Here is the list of the problems identified in version 4.2.3 and that have been
fixed in version 4.2.4:
* Second order approximation was broken for most models, giving incorrect
results (this problem only affects version 4.2.3, not previous versions)
* Bayesian priors with inverse gamma distribution and very small variances
were giving incorrect results in some cases
* The `model_diagnostics' command was broken
On behalf of the Dynare team,
--
Sébastien Villemot
Researcher in Economics & Debian Maintainer
http://www.dynare.org/sebastien
Phone: +33-1-40-77-49-90 - GPG Key: 4096R/381A7594
Dear Dynare users,
We are pleased to announce the release of Dynare 4.2.3.
This is a bugfix release.
The Windows package is already available for download at the official
Dynare website <http://www.dynare.org>. The Mac and Linux packages
should follow soon.
All users are strongly encouraged to upgrade.
This release is compatible with MATLAB versions ranging from 7.0 (R14)
to 7.13 (R2011b) and with GNU Octave versions ranging from 3.0 to 3.4.
Here is a non-exhaustive list of the problems identified in version 4.2.2 and
that have been fixed in version 4.2.3:
* `steady_state_model' was broken for lags higher than 2
* `simult_.m' was not working correctly with `order=3' if `k_order_solver' had
not been explicitly specified
* `stoch_simul' with `order=3' and without `periods' option was reporting
dummy theoretical moments
* Under Octave, option `solve_algo=0' was causing crashes in `check' and
`stoch_simul'
* Identification module was broken
* The test for singularity in the model reporting eigenvalues close to 0/0 was
sometimes reporting false positives
* The `conditional_variance_decomposition' option was not working if one
period index was 0. Now, Dynare reports an error if the periods are not
strictly positive.
* Second order approximation was buggy if one variable was not present at the
current period
On behalf of the Dynare Team,
--
Sébastien Villemot
Researcher in Economics & Debian Maintainer
http://www.dynare.org/sebastien
Phone: +33-1-40-77-49-90 - GPG Key: 4096R/381A7594
Dear Dynare users,
We are pleased to announce the release of Dynare 4.2.2.
This is a bugfix release.
The Windows package is already available for download at the official
Dynare website <http://www.dynare.org>. The Mac and Linux packages
should follow soon.
All users are strongly encouraged to upgrade.
This release is compatible with MATLAB versions ranging from 7.0 (R14)
to 7.13 (R2011b) and with GNU Octave versions ranging from 3.0 to 3.4.
Here is a list of the problems identified in version 4.2.1 and that have
been fixed in version 4.2.2:
* The secondary rank test following the order test of the Blanchard and
Kahn condition was faulty and almost never triggered
* The variance prior for BVAR “à la Sims” with only one lag was
inconsistent. The solution implemented consists of adding one extra
observation in the presample used to compute the prior; as a
consequence, the numerical results for all estimations will be
slightly different in future releases (thanks to Marek Jarociński for
spotting this)
* The `conditional_forecast' command was buggy: it was always using the
posterior mode, whatever the value of the `parameter_set' option
* `STEADY_STATE' was not working correctly with certain types of
expressions (the priority of the addition and substraction operators
was incorrectly handled)
* With the `block' option of `model', the preprocessor was failing on
expressions of the form "a^b" (with no endogenous in "a" but an
endogenous in "b")
* Some native MATLAB statements were not correctly passed on to MATLAB
(e.g. x = { 'foo' 'bar' } )
* `external_function' was crashing in some circumstances
* The lambda parameter for HP filter was restricted to integer values
for no good reason
* The `load_mh_file' option of `estimation' was crashing under Octave
for Windows (MinGW version)
* Computation of steady state was failing on model contains auxiliary
variables created by leads or lags larger than 2 or by of the
`EXPECTATION' operator
* Compilation of MEX files for MATLAB was failing with GCC 4.6
On behalf of the Dynare team,
--
Sébastien Villemot
Researcher in Economics at CEPREMAP & Debian Maintainer
http://www.dynare.org/sebastien
Phone: +33-1-40-77-49-90 - GPG Key: 4096R/381A7594
Dear Dynare users,
Please find below the list of the first papers added to the Dynare
Working Papers series.
If you want to add your paper to the series, instructions on how to
proceed are on: http://www.dynare.org/wp/desc
Summary of contents:
#9: Getting Normalization Right: Dealing with ‘Dimensional Constants’ in Macroeconomics
Cristiano Cantore, Paul Levine
#8: Indirect Likelihood Inference
Michael Creel, Dennis Kristensen
#7: Évaluation de la politique monétaire dans un modèle DSGE pour la zone euro
Stéphane Adjemian, Antoine Devulder
#6: Taking Perturbation to the Accuracy Frontier: A Hybrid of Local and Global Solutions
Lilia Maliar, Serguei Maliar, Sébastien Villemot
#5: Switching Monetary Policy Regimes and the Nominal Term Structure
Marcelo Ferman
#4: Products, patents and productivity persistence: A DSGE model of endogenous growth
Tom Holden
#3: A Graphical Representation of an Estimated DSGE Model
Mariano Kulish, Callum Jones
#2: Solving rational expectations models at first order: what Dynare does
Sébastien Villemot
#1: Dynare: Reference Manual, Version 4
Stéphane Adjemian, Houtan Bastani, Michel Juillard, Ferhat Mihoubi, George Perendia, Marco Ratto, Sébastien Villemot
Contents:
#9: Getting Normalization Right: Dealing with ‘Dimensional Constants’ in Macroeconomics
By: Cristiano Cantore
Paul Levine
Date: 2011-07
PDF: http://www.dynare.org/wp-repo/dynarewp009.pdf
Source: http://www.dynare.org/wp-repo/dynarewp009.zip
We contribute to a recent literature on the normalization,
calibration and estimation of CES production functions. The problem arises
because CES ‘share’ parameters are not in fact shares, but depend on
underlying dimensions - they are ‘dimensional constants’ in other words. It
follows that such parameters cannot be calibrated, nor estimated unless the
choice of units is made explicit. We use an RBC model to demonstrate two
equivalent solutions. The standard one expresses the production function in
deviation form about some reference point, usually the steady state of the
model. Our alternative, ‘re-parametrization’, expresses dimensional constants
in terms of a new dimensionless (share) parameter and all remaining
dimensionless ones. We show that our ‘re-parametrization’ method is equivalent
and arguably more straightforward than the standard normalization in deviation
form. We then examine a similar problem of dimensional constants for CES
utility functions in a two-sector model and in a small open economy model;
then re-parametrization is the only solution to the problem, showing that our
approach is in fact more general.
#8: Indirect Likelihood Inference
By: Michael Creel
Dennis Kristensen
Date: 2011-07
PDF: http://www.dynare.org/wp-repo/dynarewp008.pdf
Source: http://www.dynare.org/wp-repo/dynarewp008.zip
Given a sample from a fully specified parametric model, let $Z_n$ be
a given finite-dimensional statistic - for example, an initial estimator or a
set of sample moments. We propose to (re-)estimate the parameters of the
model by maximizing the likelihood of $Z_n$. We call this the maximum indirect
likelihood (MIL) estimator. We also propose a com- putationally tractable
Bayesian version of the estimator which we refer to as a Bayesian Indirect
Likelihood (BIL) estimator. In most cases, the density of the statistic will
be of unknown form, and we develop simulated versions of the MIL and BIL
estimators. We show that the indirect likelihood estimators are consistent and
asymptotically normally distributed, with the same asymptotic variance as that
of the corresponding efficient two-step GMM estimator based on the same
statistic. However, our likelihood-based estimators, by taking into account
the full finite-sample distribution of the statistic, are higher order
efficient relative to GMM-type estimators. Furthermore, in many cases they
enjoy a bias reduction property similar to that of the indirect inference
estimator. Monte Carlo results for a number of applications including dynamic
and nonlinear panel data models, a structural auction model and two DSGE
models show that the proposed estimators indeed have attractive finite
sample properties.
#7: Évaluation de la politique monétaire dans un modèle DSGE pour la zone euro
By: Stéphane Adjemian
Antoine Devulder
Date: 2011-05
PDF: http://www.dynare.org/wp-repo/dynarewp007.pdf
Source: http://www.dynare.org/wp-repo/dynarewp007.tar.bz2
Dans cet article nous présentons de façon détaillée un modèle DSGE
canonique et montrons comment celui-ci peut être simulé puis estimé. Nous
proposons deux applications sur la base du modèle estimé. Dans la première
nous évaluons les conséquences sur le bien être social de la forme de la
politique monétaire. On montre que le bien être social est significativement
dégradé si la Banque Centrale ne prend pas en compte l’écart de
production. Dans la seconde, nous interrogeons le modèle sur la publicité que
la Banque Centrale doit faire autour de sa politique. Nous montrons que face à
un choc de productivité négatif il est préférable de ne pas annoncer une
politique monétaire accommodante, afin de limiter l’ampleur des
tensions inflationnistes.
#6: Taking Perturbation to the Accuracy Frontier: A Hybrid of Local and Global Solutions
By: Lilia Maliar
Serguei Maliar
Sébastien Villemot
Date: 2011-05
PDF: http://www.dynare.org/wp-repo/dynarewp006.pdf
Source: http://www.dynare.org/wp-repo/dynarewp006.tar.gz
Perturbation methods produce solutions of lower accuracy than global
Euler equation-based methods. In the present paper, we implement a hybrid
method that solves for some policy functions locally (using standard
perturbation) and solves for the other policy functions globally (using
closed-form expressions and a numerical solver). Our hybrid method extends the
current speed-accuracy frontier: for a multi-country RBC model used for
comparing numerical methods in a special 2011 issue of the JEDC, we attain
higher accuracy of solutions than any other method participating in the
comparison analysis. Our solutions are computed with the help of Dynare, and
the programs are publicly available.
#5: Switching Monetary Policy Regimes and the Nominal Term Structure
By: Marcelo Ferman
Date: 2011-05
PDF: http://www.dynare.org/wp-repo/dynarewp005.pdf
Source: http://www.dynare.org/wp-repo/dynarewp005.mod
This paper builds a dynamic stochastic general equilibrium (DSGE)
model of endogenous growth that is capable of generating substantial degrees
of endogenous persistence in productivity. When products go out of patent
protection, the rush of entry into their production destroys incentives for
process improvements. Consequently, old production processes are enshrined in
industries producing non-protected products, resulting in aggregate
productivity persistence. Our model also generates sizeable delayed movements
in productivity in response to preference shocks, providing a form of
endogenous news shock. Finally, if we calibrate our model to match a high
aggregate mark-up then we can replicate the negative response of hours to a
positive technology shock, even without the inclusion of any frictions.
#4: Products, patents and productivity persistence: A DSGE model of endogenous growth
By: Tom Holden
Date: 2011-05
PDF: http://www.dynare.org/wp-repo/dynarewp004.pdf
Source: http://www.dynare.org/wp-repo/dynarewp004.zip
This paper builds a dynamic stochastic general equilibrium (DSGE)
model of endogenous growth that is capable of generating substantial degrees
of endogenous persistence in productivity. When products go out of patent
protection, the rush of entry into their production destroys incentives for
process improvements. Consequently, old production processes are enshrined in
industries producing non-protected products, resulting in aggregate
productivity persistence. Our model also generates sizeable delayed movements
in productivity in response to preference shocks, providing a form of
endogenous news shock. Finally, if we calibrate our model to match a high
aggregate mark-up then we can replicate the negative response of hours to a
positive technology shock, even without the inclusion of any frictions.
#3: A Graphical Representation of an Estimated DSGE Model
By: Mariano Kulish
Callum Jones
Date: 2011-05
PDF: http://www.dynare.org/wp-repo/dynarewp003.pdf
Source: http://www.dynare.org/wp-repo/dynarewp003.zip
We write a New Keynesian model as an aggregate demand curve and an
aggregate supply curve, relating inflation to output growth. The graphical
representation shows how structural shocks move aggregate demand and supply
simultaneously. We estimate the curves on US data from 1948 to 2010. The Great
Recession in 2008-09 is explained by a collapse of aggregate demand driven by
adverse preference and permanent technology shocks, and expectations of
low inflation.
#2: Solving rational expectations models at first order: what Dynare does
By: Sébastien Villemot
Date: 2011-04
PDF: http://www.dynare.org/wp-repo/dynarewp002.pdf
This 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.
#1: Dynare: Reference Manual, Version 4
By: Stéphane Adjemian
Houtan Bastani
Michel Juillard
Ferhat Mihoubi
George Perendia
Marco Ratto
Sébastien Villemot
Date: 2011-04
PDF: http://www.dynare.org/wp-repo/dynarewp001.pdf
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.
--
Sébastien Villemot
Researcher in Economics at CEPREMAP & Debian Maintainer
http://www.dynare.org/sebastien
Phone: +33-1-40-77-49-90 - GPG Key: 4096R/381A7594
Dear Dynare users,
We are pleased to announce the release of Dynare 4.2.1.
Many bugs have been fixed since the previous release. The reference
manual has also been improved: new contents has been added at various
places, the structure has been improved, an index of functions and
variables has been added, the PDF/HTML rendering has been improved.
The Windows package is already available for download at the official
Dynare website [1]. The Mac and Linux packages should follow soon.
All users are strongly encouraged to upgrade.
This release is compatible with MATLAB versions ranging from 7.0 (R14)
to 7.12 (R2011a) and with GNU Octave versions ranging from 3.0 to 3.4.
Here is a list of the main bugfixes since version 4.2.0:
* The `STEADY_STATE' operator has been fixed
* Problems with MATLAB 7.3 (R2006b) and older have been fixed
* The `partial_information' option of `stoch_simul' has been fixed
* Option `conditional_variance_decomposition' of `stoch_simul' and
`estimation' has been fixed
* Automatic detrending now works in conjunction with the `EXPECTATION'
operator
* Percentage signs inside strings in MATLAB statements (like disp('%
This is not a comment %')) now work
* Beta prior with a very small standard deviation now work even if you
do not have the MATLAB Statistical toolbox
* External functions can now been used in assignment of model local
variables
* `identification' command has been fixed
* Option `cova_compute' of `estimation' command has been fixed
* Random crashes with 3rd order approximation without `use_dll' option
have been eliminated
[1] http://www.dynare.org
On behalf of the Dynare team,
--
Sébastien Villemot
CEPREMAP - Paris School of Economics
Homepage: http://www.dynare.org/sebastien
Landline phone: +33 1 40 77 49 90
SIP phone: sebastien.villemot(a)ekiga.net
PGP Key: 0xA6C029B9D06B2913D71C105EBE37E801FB6EFF8B (http://pgp.mit.edu/)
Dear all,
The 7th annual DYNARE Conference (www.dynare.org) will be held in
Atlanta on September 9-10, 2011.
The conference is organized by the Center for Quantitative Economic
Research (CQER) at the Federal Reserve Bank of Atlanta together with
DSGE-net and the Dynare project at CEPREMAP.
The DYNARE conference will feature the work of the leading scholars in
dynamic macroeconomic modeling and provide an excellent opportunity to
present your own research results.
Lars Peter Hansen (University of Chicago) and Giorgio Primiceri
(Northwestern University) will be plenary speakers.
Submission of the papers focusing on the following issues is encouraged:
- Model uncertainty and optimal policy;
- Imperfect information and learning;
- Model and parameter identification;
- Occasionally binding financial constraints.
The list is not all-inclusive. Submissions of papers dealing with
different aspects of DSGE modelling and computational methods are all
welcome. Submissions of papers using other software tools than DYNARE or
theoretical contributions are also encouraged.
Complete manuscripts or detailed abstracts should be sent in PDF format
to Hanane Bahala at the following address: hanane.bahala(a)ens.fr
Deadline for submissions is May 15, 2010. Authors of accepted papers
will be informed by June 1, 2011.
Organizers:
- Michel Juillard (Bank of France);
- Daniel Waggoner (Federal Reserve Bank of Atlanta);
- Tao Zha (Federal Reserve Bank of Atlanta and Emory University).
We apologize for multiple posting.
--
Sébastien Villemot
CEPREMAP - Paris School of Economics
Homepage: http://www.dynare.org/sebastien
Landline phone: +33 1 40 77 49 90
SIP phone: sebastien.villemot(a)ekiga.net
PGP Key: 0xA6C029B9D06B2913D71C105EBE37E801FB6EFF8B (http://pgp.mit.edu/)