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GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
Preamble
The GNU General Public License is a free, copyleft license for
software and other kinds of works.
The licenses for most software and other practical works are designed
to take away your freedom to share and change the works. By contrast,
the GNU General Public License is intended to guarantee your freedom to
share and change all versions of a program--to make sure it remains free
software for all its users. We, the Free Software Foundation, use the
GNU General Public License for most of our software; it applies also to
any other work released this way by its authors. You can apply it to
your programs, too.
When we speak of free software, we are referring to freedom, not
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10. Automatic Licensing of Downstream Recipients.
Each time you convey a covered work, the recipient automatically
receives a license from the original licensors, to run, modify and
propagate that work, subject to this License. You are not responsible
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You may not impose any further restrictions on the exercise of the
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(including a cross-claim or counterclaim in a lawsuit) alleging that
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work thus licensed is called the contributor's "contributor version".
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available, or (2) arrange to deprive yourself of the benefit of the
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consistent with the requirements of this License, to extend the patent
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in a country, would infringe one or more identifiable patents in that
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or that patent license was granted, prior to 28 March 2007.
Nothing in this License shall be construed as excluding or limiting
any implied license or other defenses to infringement that may
otherwise be available to you under applicable patent law.
12. No Surrender of Others' Freedom.
If conditions are imposed on you (whether by court order, agreement or
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excuse you from the conditions of this License. If you cannot convey a
covered work so as to satisfy simultaneously your obligations under this
License and any other pertinent obligations, then as a consequence you may
not convey it at all. For example, if you agree to terms that obligate you
to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.
13. Use with the GNU Affero General Public License.
Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU Affero General Public License into a single
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section 13, concerning interaction through a network will apply to the
combination as such.
14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions of
the GNU General Public License from time to time. Such new versions will
be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.
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Program specifies that a certain numbered version of the GNU General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation. If the Program does not specify a version number of the
GNU General Public License, you may choose any version ever published
by the Free Software Foundation.
If the Program specifies that a proxy can decide which future
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to choose that version for the Program.
Later license versions may give you additional or different
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later version.
15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
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IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<http://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<http://www.gnu.org/philosophy/why-not-lgpl.html>.
......@@ -37,3 +37,15 @@ dist-hook:
rm -f $(distdir)/matlab/dynare_m$(EXEEXT) $(distdir)/matlab/dynare_version.m
$(MKDIR_P) $(distdir)/mex/matlab $(distdir)/mex/octave
rm -rf `find $(distdir)/contrib -name '.git*'`
install-exec-local:
$(MKDIR_P) $(DESTDIR)$(pkglibdir)/contrib/ms-sbvar/TZcode
cp -r examples $(DESTDIR)$(pkglibdir)
cp -r matlab $(DESTDIR)$(pkglibdir)
rm -f $(DESTDIR)$(pkglibdir)/matlab/dynare_m
cp preprocessor/dynare_m $(DESTDIR)$(pkglibdir)/matlab
cp -r contrib/ms-sbvar/TZcode/MatlabFiles $(DESTDIR)$(pkglibdir)/contrib/ms-sbvar/TZcode
uninstall-local:
rm -f $(DESTDIR)$(bindir)/dynare++
rm -rf $(DESTDIR)$(pkglibdir)
Announcement for Dynare 4.4.3 (on 2014-07-31)
=============================================
We are pleased to announce the release of Dynare 4.4.3.
This is a bugfix release.
The Windows packages are already available for download at:
http://www.dynare.org/download/dynare-stable
The Mac and GNU/Linux packages (for Debian and Ubuntu LTS) should follow soon.
This release is compatible with MATLAB versions 7.3 (R2006b) to 8.2 (R2013b)
and with GNU Octave versions 3.6 to 3.8.
Here is a list of the problems identified in version 4.4.2 and that have been
fixed in version 4.4.3:
- When loading a dataset in XLS, XLSX or CSV format, the first
observation was discarded.
- Reading data in an Excel-file with only one variable wasz leading
to a crash.
- When using the k_order_perturbation option (which is implicit at
3rd order) without the use_dll option, crashes or unexpected
behavior could happen if some 2nd or 3rd derivative evaluates to
zero (while not being symbolically zero)
- When using external function, Ramsey policy could crash or return
wrong results.
- For Ramsey policy, the equation numbers associated with the
Lagrange multipliers stored in M_.aux_vars were erroneously one too
low
- When updating deep parameters in the steady state file, the changes
were not fully taken into account (this was only affecting the
Ramsey policy).
- When using external functions and the bytecode option, wrong
results were returned (if second order derivates of the external
functions were needed).
- The confidence level for computations in estimation, conf_sig could
not be changed and was fixed at 0.9. The new option mh_conf_sig is
now used to set this interval
- Conditional forecasts with non-diagonal covariance matrix used an
incorrect decomposition of the covariance matrix. A Cholesky
factorization is used.
- Option geweke_interval was not effective, Dynare always defaulted
to the standard value.
- The mode_file option lacked backward compatibility with older
Dynare versions.
- Loading an mh_mode file with the mode_file option was broken.
- Using identification with var_exo_det leaded to crashes (the
preprocessor now returns an error if they are used simultaneously)
- The identification command did not print results if the initial
parameter set was invalid and then crashed later on if the MC
sample is bigger than 1
- Inconsistencies between static and dynamic models leaded to crashes
instead of error messages (only with block option).
- The use of external functions crashed the preprocessor when the
derivatives of the external function are explicitly called in the
model block. The preprocessor now forbids the use of external
functions derivates in the model block.
- Using the block option when a variable does not appear in the
current period crashed Dynare instead of providing an error
message.
Announcement for Dynare 4.4.2 (on 2014-03-04)
=============================================
We are pleased to announce the release of Dynare 4.4.2.
This is a bugfix release.
The Windows packages are already available for download at:
http://www.dynare.org/download/dynare-stable
The Mac and GNU/Linux packages (for Debian and Ubuntu LTS) should follow soon.
This release is compatible with MATLAB versions 7.3 (R2006b) to 8.2 (R2013b)
and with GNU Octave versions 3.6 to 3.8.
Here is a list of the problems identified in version 4.4.1 and that have been
fixed in version 4.4.2:
- Geweke convergence diagnostics was computed on the wrong sample if `mh_drop'
was not equal to the default of 0.5.
- The `loglinear' option of `stoch_simul' was displaying the steady state of
the original values, not the logged ones, and was producing incorrect
simulations and simulated moments. Theoretical moments were unaffected.
- The `optim' option of `estimation (for setting options to `mode_compute')
was only working with at least MATLAB 8.1 (R2013a) or Octave 3.8.
- For unit root models, theoretical HP filtered moments were sometimes
erroneously displayed as NaN.
- Specifying an endogenous variable twice after the `estimation' command would
lead to a crash in the computation of moments.
- Deterministic simulations were crashing on some models with more than one
lead or one lag on exogenous variables.
- Homotopy in stochastic extended path with order greater than 0 was not
working correctly (during the homotopy steps the perfect foresight model
solver was called instead of the stochastic perfect foresight model solver).
- MCMC convergence diagnostics were not computed if `mh_replic' was less than
2000; the test now relies on the total number of iterations (this only makes
a difference if option `load_mh_file' is used).
Announcement for Dynare 4.4.1 (on 2014-01-17)
=============================================
We are pleased to announce the release of Dynare 4.4.1.
This release contains a few changes to the user interface and fixes various
bugs. It also adds compatibility with Octave 3.8.
The Windows packages are already available for download at:
http://www.dynare.org/download/dynare-stable
The Mac and GNU/Linux packages (for Debian and Ubuntu) should follow soon.
All users are encouraged to upgrade.
This release is compatible with MATLAB versions 7.3 (R2006b) to 8.2 (R2013b) and
with GNU Octave versions 3.6 to 3.8.
* Changes to the user interface:
- The syntax introduced in 4.4.0 for conditional forecast in a deterministic
setup was removed, and replaced by a new one that is better suited to the
task. More precisely, such deterministic forecasts are no longer done using
the `conditional_forecast' command. The latter is replaced by a group of
commands: `init_plan', `basic_plan' and `flip_plan'. See the reference
manual for more details.
- Changes to the reporting module: option `annualAverages' to `addTable' has
been removed (use option `tableDataRhs' to `addSeries' instead); option
`vlineAfter' to `addTable' now also accepts a cell array.
- Changes to the date and time series classes: implement broadcasting for
operations (+,-,* and /) between `dseries' class and scalar or vectors; add
the possibility of selecting an observation within a time series using a
formatted string containing a date.
* Bugs and problems identified in version 4.4.0 and that have been fixed in
version 4.4.1:
- In MS-SBVAR, there was a bug preventing the computation of impulse responses
on a constant regime.
- Under Octave, after modifying the MOD file, the changes were not taken into
account at the first Dynare run, but only at the second run.
Announcement for Dynare 4.4.0 (on 2013-12-16)
=============================================
We are pleased to announce the release of Dynare 4.4.0.
This major release adds new features and fixes various bugs.
The Windows packages are already available for download at:
http://www.dynare.org/download/dynare-stable
The Mac and Debian/Ubuntu packages should follow soon.
All users are strongly encouraged to upgrade.
This release is compatible with MATLAB versions ranging from 7.3 (R2006b) to
8.2 (R2013b) and with GNU Octave version 3.6.
Here is the list of major user-visible changes:
* New major algorithms:
- Extended path at order 1 and above, also known as “stochastic extended
path”. This method is triggered by setting the `order' option of the
`extended_path' command to a value greater than 0. Dynare will then use a
Gaussian quadrature to take into account the effects of future uncertainty.
The time series for the endogenous variables are generated by assuming that
the agents believe that there will no more shocks after period t+order.
- Alternative algorithms for computing decision rules of a stochastic model,
based on the cycle reduction and logarithmic reduction algorithms. These
methods are respectively triggered by giving `dr = cycle_reduction' or 'dr
= logarithmic_reduction' as an option to the `stoch_simul' command.
- Pruning now works with 3rd order approximation, along the lines of
Andreasen, Fernández-Villaverde and Rubio-Ramírez (2013).
- Computation of conditional forecast using an extended path method. This is
triggered by the new option `simulation_type = deterministic' in the
`conditional_forecast' command. In this case, the `expectation' command in
the `conditional_forecast_paths' block has to be used to indicate the nature
of expectations (whether shocks are a surprise or are perfectly
anticipated).
- Endogenous priors as in Christiano, Trabandt and Walentin (2011). Those are
triggered by the new option `endogenous_prior' of the `estimation' command.
* Other algorithmic improvements:
- New command `model_diagnostics' to perform various sanity checks on the
model. Note: in the past, some users may have used a preliminary MATLAB
function implementing this; the new command has the same syntax, except that
you shouldn't pass any argument to it.
- Terminal conditions of perfect foresight simulations can now be specified in
growth rates. More specifically, the new option `differentiate_forward_vars'
of the `model' block will create auxiliary forward looking variables
expressed in first differences or growth rates of the actual forward looking
variables defined in the model. These new variables have obvious zero
terminal conditions whatever the simulation context and this in many cases
helps convergence of simulations.
- Convergence diagnostics for single chain MCMC à la Geweke (1992, 1999).
- New optimizer for the posterior mode (triggered by `mode_compute=10'): it
uses the simpsa algorithm, based on the combination of the non-linear
simplex and simulated annealing algorithms and proposed by Cardoso, Salcedo
and Feyo de Azevedo (1996).
- The automatic detrending engine has been extended to work on models written
in logs. The corresponding trend variable type is `log_trend_var', and the
corresponding deflator type is `log_deflator'.
* New features in the user interface:
- New set of functions for easily creating PDF reports including figures and
tables. See the “Reporting” section in the reference manual for more
details.
- New MATLAB/Octave classes for handling time series. See the “Time series”
section in the reference manual for more details.
- Datafiles in CSV format can now be used for estimation.
- New macro processor `length' operator, returns the length of an array.
- New option `all_values_required' of `initval' and `endval' blocks: enforces
initialization of all endogenous and exogenous variables within the block.
- Option `ar' can now be given to the `estimation' command.
- New options `nograph', `nointeractive' and `nowarn' to the `dynare' command,
for a better control of what is displayed.
- New option `nostrict' to the `dynare' command, for allowing Dynare to
continue processing when there are more endogenous variables than equations
or when an undeclared symbol is assigned in `initval' or `endval'.
- The information on MCMC acceptance rates, seeds, last log posterior
likelihood, and last parameter draw are now saved on the disk and can
be displayed with `internals --display-mh-history' or loaded into the
workspace with `internals --load-mh-history'.
- New options `mode_check_neighbourhood_size', `mode_check_symmetric_plots'
and `mode_check_number_of_points', for a better control of the diagnostic
plots.
- New option `parallel_local_files' of `model' block, for transferring extra
files during parallel computations.
- New option `clock' of `set_dynare_seed', for setting a different seed at
each run.
- New option `qz_zero_threshold' of the `check', `stoch_simul' and
`estimation' commands, for a better control of the situation where a
generalized eigenvalue is close to 0/0.
- New `verbatim' block for inclusion of text that should pass through the
preprocessor and be placed as is in the `modfile.m' file.
- New option `mcmc_jumping_covariance' of the `estimation' command, for a
better control of the covariance matrix used for the proposal density of the
MCMC sampler.
- New option `use_calibration' of the `estimated_params_init', for using the
calibration of deep parameters and the elements of the covariance matrix
specified in the `shocks' block as starting values for the estimation.
- New option `save_draws' of the `ms_simulation' command.
- New option `irf_plot_threshold' of the `stoch_simul' and `estimation'
commands, for a better control of the display of IRFs which are almost nil.
- New option `long_name' for endogenous, exogenous and parameter declarations,
which can be used to declare a long name for variables. That long name can
be programmatically retrieved in `M_.endo_names_long'.
* Miscellaneous changes
- The deciles of some posterior moments were erroneously saved in a field
`Distribution' under `oo_'. This field is now called `deciles', for
consistency with other posterior moments and with the manual. Similarly, the
fields `Mean', `Median', `HPDsup', `HPDinf', and `Variance' are now
consistently capitalized.
- The console mode now implies the `nodisplay' option.
* Bugs and problems identified in version 4.3.3 and that have been fixed in
version 4.4.0:
- In an `endval' block, auxiliary variables were not given the right value.
This would not result in wrong results, but could prevent convergence of
the steady state computation.
- Deterministic simulations with `stack_solve_algo=0' (the default value) were
crashing if some exogenous had a lag strictly greater than 1.
- When using the `mode_file' option, the initial estimation checks were not
performed for the loaded mode, but for the original starting values. Thus,
potential prior violations by the mode only appeared during estimation,
leading to potentially cryptic crashes and error messages.
- If a shock/measurement error variance was set to 0 in calibration, the
correlation matrix featured a 0 instead of a 1 on the diagonal, leading to
wrong estimation results.
- In the presence of calibrated covariances, estimation did not enforce
positive definiteness of the covariance matrix.
- Estimation using the `diffuse_filter' option together with the univariate
Kalman filter and a diagonal measurement error matrix was broken.
- A purely backward model with `k_order_solver' was leading to crashes of
MATLAB/Octave.
- Non-linear estimation was not skipping the specified presample when
computing the likelihood.
- IRFs and theoretical moments at order > 1 were broken for purely
forward-looking models.
- Simulated moments with constant variables was leading to crashes when
displaying autocorrelations.
- The `osr' command was sometimes crashing with cryptic error messages because
of some unaccounted error codes returned from a deeper routine.
- The check for stochastic singularity during initial estimation checks was
broken.
- Recursive estimation starting with the pathological case of `nobs=1' was
crashing.
- Conditional variance decomposition within or after estimation was crashing
when at least one shock had been calibrated to zero variance.
- The `estimated_params_init' and `estimated_params_bounds' blocks were broken
for correlations.
- The `filter_step_ahead' option was not producing any output in Bayesian
estimation.
- Deterministic simulations were sometimes erroneously indicating convergence
although the residuals were actually NaN or Inf.
- Supplying a user function in the `mode_compute' option was leading to
a crash.
- Deterministic simulation of models without any exogenous variable was
crashing.
- The MS-SBVAR code was not updating files between runs on Windows. This means
that if a MOD file was updated between runs in the same folder and a
`file_tag' was not changed, then the results would not change.
- The `ramsey_policy' command was not putting in `oo_.planner_objective_value'
the value of the planner objective at the optimum.
* References:
- Andreasen, Martin M., Jesús Fernández-Villaverde, and Juan Rubio-Ramírez
(2013): “The Pruned State-Space System for Non-Linear DSGE Models: Theory
and Empirical Applications,” NBER Working Paper, 18983
- Cardoso, Margarida F., R. L. Salcedo and S. Feyo de Azevedo (1996): “The
simplex simulated annealing approach to continuous non-linear optimization,”
Computers chem. Engng, 20(9), 1065-1080
- Christiano, Lawrence J., Mathias Trabandt and Karl Walentin (2011):
“Introducing financial frictions and unemployment into a small open economy
model,” Journal of Economic Dynamics and Control, 35(12), 1999-2041
- Geweke, John (1992): “Evaluating the accuracy of sampling-based approaches
to the calculation of posterior moments,” in J.O. Berger, J.M. Bernardo,
A.P. Dawid, and A.F.M. Smith (eds.) Proceedings of the Fourth Valencia
International Meeting on Bayesian Statistics, pp. 169-194, Oxford University
Press
- Geweke, John (1999): “Using simulation methods for Bayesian econometric
models: Inference, development and communication,” Econometric Reviews,
18(1), 1-73
Announcement for Dynare 4.3.3 (on 2013-04-12)
=============================================
......
......@@ -20,7 +20,7 @@ Here, we explain how to build from source:
This source can be retrieved in three forms:
- via git, at <https://github.com/DynareTeam/dynare.git>
- using the stable source archive of the latest Dynare version (currently 4.3) from <http://www.dynare.org/download/dynare-4.3/source>
- using the stable source archive of the latest Dynare version (currently 4.4) from <http://www.dynare.org/download/dynare-stable/>
- using a source snapshot of the unstable version, from <http://www.dynare.org/download/dynare-unstable/source-snapshot>
Note that if you obtain the source code via git, you will need to install more tools (see below).
......@@ -49,28 +49,27 @@ A number of tools and libraries are needed in order to recompile everything. You
- A POSIX compliant shell and an implementation of Make (mandatory)
- The [GNU Compiler Collection](http://gcc.gnu.org/), with gcc, g++ and gfortran (mandatory)
- [MATLAB](http://www.dynare.org/DynareWiki/BuildingDynareFromSource?action=AttachFile&do=view&target=dynare-mingw64-libs.zip) (if you want to compile MEX for MATLAB)
- MATLAB (if you want to compile MEX for MATLAB)
- [GNU Octave](http://www.octave.org), with the development headers (if you want to compile MEX for Octave)
- [Boost libraries](http://www.boost.org), version 1.36 or later
- [Bison](http://www.gnu.org/software/bison/), version 2.3 or later (only if you get the source through Git)
- [Bison](http://www.gnu.org/software/bison/), version 2.5 or later (only if you get the source through Git)
- [Flex](http://flex.sourceforge.net/), version 2.5.4 or later (only if you get the source through Git)
- [Autoconf](http://www.gnu.org/software/autoconf/), version 2.62 or later (only if you get the source through Git) (see [Installing an updated version of Autoconf in your own directory, in GNU/Linux](http://www.dynare.org/DynareWiki/AutoMake))
- [Automake](http://www.gnu.org/software/automake/), version 1.11.2 or later (only if you get the source through Git) (see [Installing an updated version of AutoMake in your own directory, in GNU/Linux](http://www.dynare.org/DynareWiki/AutoMake))
- [CWEB](http://www-cs-faculty.stanford.edu/%7Eknuth/cweb.html), with its tools `ctangle` and `cweave` (only if you want to build Dynare++ and get the source through Git)
- An implementation of BLAS and LAPACK: either [ATLAS](http://math-atlas.sourceforge.net/), [OpenBLAS](http://xianyi.github.com/OpenBLAS/), Netlib ([BLAS](http://www.netlib.org/blas/), [LAPACK](http://www.netlib.org/lapack/)) or [MKL](http://software.intel.com/en-us/intel-mkl/) (only if you want to build Dynare++)
- An implementation of [POSIX Threads](http://en.wikipedia.org/wiki/POSIX_Threads) (optional, for taking advantage of multi-core)
- [MAT File I/O library](http://sourceforge.net/projects/matio/) (if you want to compile Markov-Switching code, the estimation DLL, k-order DLL and Dynare++ in unstable)
- [MAT File I/O library](http://sourceforge.net/projects/matio/) (if you want to compile Markov-Switching code, the estimation DLL, k-order DLL and Dynare++)
- [SLICOT](http://www.slicot.org) (if you want to compile the Kalman steady state DLL)
- [GSL library](http://www.gnu.org/software/gsl/) (if you want to compile Markov-Switching code)
- A decent LaTeX distribution (if you want to compile PDF documentation). The following extra components may be needed:
- The Econometrica bibliography style: you need [harvard](http://www.ctan.org/tex-archive/macros/latex/contrib/harvard/) and [economic](http://www.ctan.org/tex-archive/biblio/bibtex/contrib/economic/) packages from CTAN (only if you want to build Dynare user guide, no more needed with Dynare unstable)
- [Eplain](http://www.tug.org/eplain/) TeX macros (only if you want to build Dynare++ source documentation)
- [Beamer](http://latex-beamer.sourceforge.net/) (for some PDF presentations)
- For building the reference manual:
- [GNU Texinfo](http://www.gnu.org/software/texinfo/)
- [Texi2HTML](http://www.nongnu.org/texi2html) and [Latex2HTML](http://www.latex2html.org), if you want nice mathematical formulas in HTML output
- [Doxygen](http://www.stack.nl/%7Edimitri/doxygen/) (if you want to build Dynare preprocessor source documentation)
- For Octave, the development libraries corresponding to the UMFPACK packaged with Octave (only in unstable)
- For Octave, the development libraries corresponding to the UMFPACK packaged with Octave
### Preparing the sources
......@@ -78,9 +77,8 @@ If you have downloaded the sources from an official source archive or the source
If you want to use Git, do the following from a terminal:
git clone http://github.com/DynareTeam/dynare.git
git clone --recursive http://github.com/DynareTeam/dynare.git
cd dynare
git submodule update --init
autoreconf -si
The last line runs Autoconf and Automake in order to prepare the build environment (this is not necessary if you got the sources from an official source archive or the source snapshot).
......@@ -139,12 +137,12 @@ apt-get build-dep dynare
Alternatively, if you want to build everything, manually install the following packages:
- `build-essential` (for gcc, g++ and make)
- `octave3.2-headers` or `liboctave-dev` (will install ATLAS)
- `liboctave-dev` or `octave3.2-headers` (will install ATLAS)
- `libboost-graph-dev`
- `libgsl0-dev`
- `libmatio-dev`
- `libslicot-dev` and `libslicot-pic`
- `libsuitesparse-dev` (only for Unstable)
- `libsuitesparse-dev`
- `flex`
- `bison`
- `autoconf`
......@@ -181,24 +179,29 @@ The following instructions are compatible with MATLAB or with Octave/MinGW (as d
### Setting up the Compilation Environment
- First, you need to setup a Cygwin environment, following the instructions at <http://www.cygwin.com>. You need the following packages:
- First, you need to setup a Cygwin environment, following the instructions at <http://www.cygwin.com>. You can install either the 32-bit or the 64-bit version. If you opt for the latter, you need to replace `c:\cygwin` by `c:\cygwin64` in the following.
- Install the following packages:
- `make`
- `bison`
- `flex`
- `autoconf` and `autoconf2.5`
- `automake` and `automake1.11`
- `texlive`, `texlive-collection-latexextra`, `texlive-collection-formatsextra`, `texlive-collection-publishers`
- `git`, `gettext`
- `autoconf`
- `automake`
- `texi2html`
- `texlive`, `texlive-collection-latexextra`, `texlive-collection-formatsextra`, `texlive-collection-publishers`, `texlive-collection-fontsrecommended`, `texlive-collection-fontsextra`, `texlive-collection-bibtexextra`, `texlive-collection-genericrecommended`, `texlive-collection-mathextra`, `texlive-collection-binextra`
- `texinfo`
- `doxygen`
- `mingw64-i686-gcc`, `mingw64-i686-gcc-g++`, `mingw64-i686-gcc-fortran` (if you have Octave/MinGW or if you have MATLAB 32-bit)
- `mingw64-x86_64-gcc`, `mingw64-x86_64-gcc-g++`, `mingw64-x86_64-gcc-fortran` (if you have MATLAB 64-bit)
- `mingw64-i686-gcc-core`, `mingw64-i686-gcc-g++`, `mingw64-i686-gcc-fortran` (if you have Octave/MinGW or if you have MATLAB 32-bit)
- `mingw64-x86_64-gcc-core`, `mingw64-x86_64-gcc-g++`, `mingw64-x86_64-gcc-fortran` (if you have MATLAB 64-bit)
- Second, install precompiled librairies for BLAS, LAPACK, Boost and GSL:
- If you have Octave or MATLAB 32-bit, download [dynare-mingw32-libs.zip](http://www.dynare.org/DynareWiki/BuildingDynareFromSource?action=AttachFile&do=view&target=dynare-mingw32-libs.zip), and uncompress it in `c:\cygwin\usr\local\lib\mingw32`
- If you have MATLAB 64-bit, download [dynare-mingw64-libs.zip](http://www.dynare.org/DynareWiki/BuildingDynareFromSource?action=AttachFile&do=view&target=dynare-mingw64-libs.zip), and uncompress it in `c:\cygwin\usr\local\lib\mingw64`
- If you have Octave or MATLAB 32-bit, download [dynare-mingw32-libs.zip](http://www.dynare.org/build/dynare-mingw32-libs.zip), and uncompress it in `c:\cygwin\usr\local\lib\mingw32`
- If you have MATLAB 64-bit, download [dynare-mingw64-libs.zip](http://www.dynare.org/build/dynare-mingw64-libs.zip), and uncompress it in `c:\cygwin\usr\local\lib\mingw64`
*Remark*: You need to make sure that Cygwin’s git is used and not a potentially installed msysgit. The latter typically happens when one installs msysgit and allows it to set a system path. This will result in wrong line endings and cryptic error messages à la "syntax error near unexpected token `fi'". In that case it might be necessary to uninstall msysgit and reinstall it without setting a system path.
### Compiling the preprocessor, Dynare++, the MEX for MATLAB and the documentation
Download and uncompress the Dynare source tree, let’s say in `c:\cygwin\home\user\dynare`.
Install the Dynare source tree, let’s say in `c:\cygwin\home\user\dynare` (by either uncompressing a source archive, or by cloning the git repository with `git clone --recursive http://github.com/DynareTeam/dynare.git`).
Launch a Cygwin shell, and enter the Dynare source tree:
```
......@@ -259,23 +262,19 @@ Configure and make:
- Install [Homebrew](http://mxcl.github.io/homebrew/) and [Homebrew Science](https://github.com/Homebrew/homebrew-science)
- Install the following brews:
```
brew install automake
brew install gsl
brew install boost
brew install gfortran
brew install matlab2tikz --HEAD
brew install libmatio --with-hdf5
brew install slicot --with-default-integer-8
```
- ```brew install automake```
- ```brew install gsl```
- ```brew install boost```
- ```brew install gfortran```
- ```brew install matlab2tikz --HEAD```
- ```brew install libmatio --with-hdf5```
- ```brew install slicot --with-default-integer-8```
- **(Optional)** To compile Dynare mex files for use on Octave, first install Octave following the [Simple Installation Instructions](http://wiki.octave.org/Octave_for_MacOS_X#Simple_Installation_Instructions_3). Then, you will probably also want to install graphicsmagick via Homebrew with `brew install graphicsmagick`.
- **(Optional)** To compile Dynare's documentation, first install the latest version of [MacTeX](http://www.tug.org/mactex/). Then install `doxygen`, `latex2html` and `texi2html` via Homebrew with the following commands:
```
brew install doxygen
brew install latex2html
brew install texi2html
```
- **(On OS X 10.7 Only)** Copy [FlexLexer.h](http://www.dynare.org/DynareWiki/BuildingDynareFromSource?action=AttachFile&do=view&target=FlexLexer.h) into the `preprocessor` directory (there was an error in the `FlexLexer.h` file distributed with 10.7)
- ```brew install doxygen```
- ```brew install latex2html```
- ```brew install texi2html```
- **(On OS X 10.7 Only)** Copy [FlexLexer.h](http://www.dynare.org/build/FlexLexer.h) into the `preprocessor` directory (there was an error in the `FlexLexer.h` file distributed with 10.7)
- Finally, switch to the root dynare directory. Ensure your path contains `/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin:/opt/X11/bin:/usr/texbin:/usr/local/sbin`. Run:
- `autoconf -si`
- `./configure --with-matlab=/Applications/MATLAB_R2013a.app MATLAB_VERSION=8.1` for builds with Matlab or `./configure` for builds just using Octave
......
......@@ -18,7 +18,7 @@ dnl You should have received a copy of the GNU General Public License
dnl along with Dynare. If not, see <http://www.gnu.org/licenses/>.
AC_PREREQ([2.62])
AC_INIT([dynare], [4.4-unstable])
AC_INIT([dynare], [4.4.3])
AC_CONFIG_SRCDIR([preprocessor/DynareMain.cc])
AM_INIT_AUTOMAKE([1.11 -Wall -Wno-portability foreign no-dist-gzip dist-xz tar-pax])
......@@ -83,10 +83,6 @@ CPPFLAGS="$CPPFLAGS_SAVED"
# Don't use deprecated hash structures
AC_DEFINE([BOOST_NO_HASH], [], [Don't use deprecated STL hash structures])
# Check for dlopen(), needed by tests for estimation DLL
AC_CHECK_LIB([dl], [dlopen], [LIBADD_DLOPEN="-ldl"], [])
AC_SUBST([LIBADD_DLOPEN])
# Check for libmatio, needed by Dynare++
AX_MATIO
AM_CONDITIONAL([HAVE_MATIO], [test "x$has_matio" = "xyes"])
......@@ -160,6 +156,12 @@ fi
AM_CONDITIONAL([HAVE_BLAS], [test x"$ax_blas_ok" = "xyes"])
AM_CONDITIONAL([HAVE_LAPACK], [test x"$ax_lapack_ok" = "xyes"])
case ${host_os} in
*mingw32*)
# Ensure that -lpthread is statically linked under MinGW
PTHREAD_LIBS="-Wl,-Bstatic -lpthread -Wl,-Bdynamic"
;;
esac
AX_PTHREAD
AC_CONFIG_FILES([Makefile
......@@ -192,10 +194,6 @@ AC_CONFIG_FILES([Makefile
dynare++/kord/Makefile
dynare++/src/Makefile
mex/sources/Makefile
mex/sources/estimation/Makefile
mex/sources/estimation/tests/Makefile
mex/sources/estimation/libmat/Makefile
mex/sources/estimation/libmat/tests/Makefile
])
AC_ARG_ENABLE([matlab], AS_HELP_STRING([--disable-matlab], [disable compilation of MEX files for MATLAB]), [], [enable_matlab=yes])
......
switch_dw @ 8b3d1404
Subproject commit 29c446f7fe8a773860ebee347662c4ae2494c5e9
Subproject commit 8b3d14040133ea5b622cde9ea79b3b0b41891bce
utilities_dw @ 216abedb
Subproject commit b388d5eac8c8d092088db5ef805584ae4dd2d952
Subproject commit 216abedb9ab4df5dd4dca07c721f7c07392801e9
This diff is collapsed.
......@@ -101,7 +101,7 @@ void SystemResources::getRUS(double& load_avg, long int& pg_avail,
majflt = -1;
#endif
#if !defined(__MINGW32__) && !defined(__CYGWIN32__)
#if !defined(__MINGW32__) && !defined(__CYGWIN32__) && !defined(__CYGWIN__) && !defined(__MINGW64__) && !defined(__CYGWIN64__)
getloadavg(&load_avg, 1);
#else
load_avg = -1.0;
......
// Copyright (C) 2006-2011, Ondra Kamenik
#include "forw_subst_builder.h"
using namespace ogdyn;
......@@ -47,18 +48,20 @@ void ForwSubstBuilder::substitute_for_term(int t, int i, int j)
// first make lagsubst be substitution setting f(x(+4)) to f(x(+1))
// this is lag = -3 (1-mlead)
map<int,int> lagsubst;
model.variable_shift_map(model.eqs.nulary_of_term(t), 1-mlead, lagsubst);
unordered_set<int> nult = model.eqs.nulary_of_term(t);// make copy of nult!
model.variable_shift_map(nult, 1-mlead, lagsubst);
int lagt = model.eqs.add_substitution(t, lagsubst);
// now maxlead of lagt is +1
// add AUXLD_*_*_1 = f(x(+1)) to the model
char name[100];
sprintf(name, "AUXLD_%d_%d_%d", i, j, 1);
model.atoms.register_uniq_endo(name);
info.num_aux_variables++;
const char* ss = model.atoms.get_name_storage().query(name);
int auxt = model.eqs.add_nulary(name);
model.eqs.add_formula(model.eqs.add_binary(ogp::MINUS, auxt, lagt));
aux_map.insert(Tsubstmap::value_type(ss, lagt));
// now maxlead of lagt is +1
// add AUXLD_*_*_1 = f(x(+1)) to the model
char name[100];
sprintf(name, "AUXLD_%d_%d_%d", i, j, 1);
model.atoms.register_uniq_endo(name);
info.num_aux_variables++;
const char* ss = model.atoms.get_name_storage().query(name);
int auxt = model.eqs.add_nulary(name);
model.eqs.add_formula(model.eqs.add_binary(ogp::MINUS, auxt, lagt));
aux_map.insert(Tsubstmap::value_type(ss, lagt));
// now add variables and equations
// AUXLD_*_*_2 = AUXLD_*_*_1(+1) through
// AUXLD_*_*_{mlead-1} = AUXLD_*_*_{mlead-2}(+1)
......@@ -82,7 +85,9 @@ void ForwSubstBuilder::substitute_for_term(int t, int i, int j)
aux_map.insert(Tsubstmap::value_type(ss, lagt));
}
// now we have to substitute AUXLEAD_*_*{mlead-1}(+1) for t
// now we have to substitute AUXLD_*_*{mlead-1}(+1) for t
sprintf(name, "AUXLD_%d_%d_%d", i, j, mlead-1);
ss = model.atoms.get_name_storage().query(name);
model.substitute_atom_for_term(ss, +1, t);
}
}
......
......@@ -15,7 +15,14 @@
* equations. Moreover, it makes use of a steady state file to i) set
* parameters that depend on other parameters that are potentially estimated
* and ii) solve a nonlinear equation using a numerical solver to find the steady
* state of labor.
* state of labor. It provides an example on how the steady state file can be used
* to circumvent some of the limitation of Dynare mod-file by accessing an external
* file that allows calling general Matlab routines. These capacities will mostly be
* interesting for power users. If one just wants to provide analytical steady state
* values and update parameters, the steady_state_model-block allows an easy and convenient
* alternative. It even allows calling numerical solvers like fsolve. For an example, see
* example3.mod
*
* The model is written in the beginning of period stock notation. To make the model
* conform with Dynare's end of period stock notation, we use the
* predetermined_variables-command.
......
function [ys,check] = NK_baseline_steadystate(ys,exe)
global M_ lgy_
if isfield(M_,'param_nbr') == 1
function [ys,check] = NK_baseline_steadystate(ys,exo)
% function [ys,check] = NK_baseline_steadystate(ys,exo)
% computes the steady state for the NK_baseline.mod and uses a numerical
% solver to do so
% Inputs:
% - ys [vector] vector of initial values for the steady state of
% the endogenous variables
% - exo [vector] vector of values for the exogenous variables
%
% Output:
% - ys [vector] vector of steady state values fpr the the endogenous variables
% - check [scalar] set to 0 if steady state computation worked and to
% 1 of not (allows to impos restriction on parameters)
global M_
% read out parameters to access them with their name
NumberOfParameters = M_.param_nbr;
for i = 1:NumberOfParameters
paramname = deblank(M_.param_names(i,:));
eval([ paramname ' = M_.params(' int2str(i) ');']);
for ii = 1:NumberOfParameters
paramname = deblank(M_.param_names(ii,:));
eval([ paramname ' = M_.params(' int2str(ii) ');']);
end
% initialize indicator
check = 0;
end
%% Enter model equations here
......@@ -32,6 +45,11 @@ Lambdax=mu_z;
%set the parameter gammma1
gammma1=mu_z*mu_I/betta-(1-delta);
if gammma1<0 % parameter violates restriction; Preventing this cannot be implemented via prior restriction as it is a composite of different parameters and the valid prior region has unknown form
check=1; %set failure indicator
return; %return without updating steady states
end
r=1*gammma1;
R=1+(PI*mu_z/betta-1);
......@@ -49,9 +67,17 @@ vp=(1-thetap)/(1-thetap*PI^((1-chi)*epsilon))*PIstar^(-epsilon);
vw=(1-thetaw)/(1-thetaw*PI^((1-chiw)*eta)*mu_z^eta)*PIstarw^(-eta);
tempvaromega=alppha/(1-alppha)*w/r*mu_z*mu_I;
ld=fsolve(@(ld)(1-betta*thetaw*mu_z^(eta-1)*PI^(-(1-chiw)*(1-eta)))/(1-betta*thetaw*mu_z^(eta*(1+gammma))*PI^(eta*(1-chiw)*(1+gammma)))...
[ld,fval,exitflag]=fsolve(@(ld)(1-betta*thetaw*mu_z^(eta-1)*PI^(-(1-chiw)*(1-eta)))/(1-betta*thetaw*mu_z^(eta*(1+gammma))*PI^(eta*(1-chiw)*(1+gammma)))...
-(eta-1)/eta*wstar/(varpsi*PIstarw^(-eta*gammma)*ld^gammma)*((1-h*mu_z^(-1))^(-1)-betta*h*(mu_z-h)^(-1))*...
((mu_A*mu_z^(-1)*vp^(-1)*tempvaromega^alppha-tempvaromega*(1-(1-delta)*(mu_z*mu_I)^(-1)))*ld-vp^(-1)*Phi)^(-1),0.25,options);
if exitflag <1
%indicate the SS computation was not sucessful; this would also be detected by Dynare
%setting the indicator here shows how to use this functionality to
%filter out parameter draws
check=1; %set failure indicator
return; %return without updating steady states
end
l=vw*ld;
k=tempvaromega*ld;
......@@ -68,27 +94,12 @@ g2=epsilon/(epsilon-1)*g1;
%% end own model equations
for iter = 1:length(M_.params)
for iter = 1:length(M_.params) %update parameters set in the file
eval([ 'M_.params(' num2str(iter) ') = ' M_.param_names(iter,:) ';' ])
end
if isfield(M_,'param_nbr') == 1
if isfield(M_,'orig_endo_nbr') == 1
NumberOfEndogenousVariables = M_.orig_endo_nbr;
else
NumberOfEndogenousVariables = M_.endo_nbr;
end
ys = zeros(NumberOfEndogenousVariables,1);
for i = 1:NumberOfEndogenousVariables
varname = deblank(M_.endo_names(i,:));
eval(['ys(' int2str(i) ') = ' varname ';']);
end
else
ys=zeros(length(lgy_),1);
for i = 1:length(lgy_)
ys(i) = eval(lgy_(i,:));
end
check = 0;
NumberOfEndogenousVariables = M_.orig_endo_nbr; %auxiliary variables are set automatically
for ii = 1:NumberOfEndogenousVariables
varname = deblank(M_.endo_names(ii,:));
eval(['ys(' int2str(ii) ') = ' varname ';']);
end
/*
* Example 1 from F. Collard (2001): "Stochastic simulations with DYNARE:
* A practical guide" (see "guide.pdf" in the documentation directory).
*
* This file uses the steady_state_model-block to provide analytical steady state values.
* To do so, the equations of the model have been transformed into a non-linear equation in
* labor h. Within the steady_state_model-block, a helper function is called that uses fsolve
* to solve this non-linear equation. The use of the helper function is necessary to avoid
* interference of the Matlab syntax with Dynare's preprocessor. A more complicated alternative
* that provides more flexibility in the type of commands executed and functions called is the use
* of an explicit steady state file. See the NK_baseline.mod in the Examples Folder.
*
* This mod-file also shows how to use Dynare's capacities to generate TeX-files of the model equations.
* If you want to see the model equations belonging to this mod-file, run it using Dynare
* and then use a TeX-editor to compile the TeX-files generated.
*/
/*
* Copyright (C) 2013 Dynare Team
*
* This file is part of Dynare.
*
* Dynare is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Dynare is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Dynare. If not, see <http://www.gnu.org/licenses/>.
*/
var y, c, k, a, h, b;
varexo e, u;
parameters beta $\beta$
rho $\rho$
alpha $\alpha$
delta $\delta$
theta $\theta$
psi $\psi$
tau $\tau$;
alpha = 0.36;
rho = 0.95;
tau = 0.025;
beta = 0.99;
delta = 0.025;
psi = 0;
theta = 2.95;
phi = 0.1;
model;
c*theta*h^(1+psi)=(1-alpha)*y;
k = beta*(((exp(b)*c)/(exp(b(+1))*c(+1)))
*(exp(b(+1))*alpha*y(+1)+(1-delta)*k));
y = exp(a)*(k(-1)^alpha)*(h^(1-alpha));
k = exp(b)*(y-c)+(1-delta)*k(-1);
a = rho*a(-1)+tau*b(-1) + e;
b = tau*a(-1)+rho*b(-1) + u;
end;
steady_state_model;
h=example3_steady_state_helper(alpha,beta,delta,psi,theta);
k=((1/beta-(1-delta))/alpha)^(1/(alpha-1))*h;
y = k^alpha*h^(1-alpha);
c=(1-alpha)*y/(theta*h^(1+psi));
a=0;
b=0;
end;
shocks;
var e; stderr 0.009;
var u; stderr 0.009;
var e, u = phi*0.009*0.009;
end;
//use command to generate TeX-Files with dynamic and static model equations
write_latex_dynamic_model;
write_latex_static_model;
stoch_simul;
function h=example3_steady_state_helper(alpha,beta,delta,psi,theta)
options=optimset('Display','Final','TolX',1e-10,'TolFun',1e-10);
h=fsolve(@(h)1- ((((((1/beta-(1-delta))/alpha)^(1/(alpha-1))*h)^(alpha-1))*(h^(1-alpha))-(((1-alpha)*((((1/beta-(1-delta))/alpha)^(1/(alpha-1)))^alpha))/(theta*h^psi))/(((1/beta-(1-delta))/alpha)^(1/(alpha-1))*h))+(1-delta)),0.2,options);
......@@ -87,6 +87,32 @@ var e_a; stderr 0.014;
var e_m; stderr 0.005;
end;
steady_state_model;
dA = exp(gam);
gst = 1/dA;
m = mst;
khst = ( (1-gst*bet*(1-del)) / (alp*gst^alp*bet) )^(1/(alp-1));
xist = ( ((khst*gst)^alp - (1-gst*(1-del))*khst)/mst )^(-1);
nust = psi*mst^2/( (1-alp)*(1-psi)*bet*gst^alp*khst^alp );
n = xist/(nust+xist);
P = xist + nust;
k = khst*n;
l = psi*mst*n/( (1-psi)*(1-n) );
c = mst/P;
d = l - mst + 1;
y = k^alp*n^(1-alp)*gst^alp;
R = mst/bet;
W = l/n;
ist = y-c;
q = 1 - d;
e = 1;
gp_obs = m/dA;
gy_obs = dA;
end;
steady;
check;
......
This diff is collapsed.
dnl Detect the MATIO Library.
dnl
dnl Copyright (C) 2012 Dynare Team
dnl Copyright (C) 2012-2014 Dynare Team
dnl
dnl This file is part of Dynare.
dnl
......@@ -41,9 +41,10 @@ AC_ARG_WITH(matio, AC_HELP_STRING([--with-matio=DIR], [prefix to MATIO installat
LDFLAGS="$LDFLAGS_MATIO $LDFLAGS"
dnl Workaround for the matio from RHEL 6 + EPEL 6
dnl If detected, libz is added to LIBS, used for matio test
dnl If detected, libz and libhdf5 are added to LIBS, used for matio test
LIBS=""
AC_CHECK_LIB([z], [compress])
AC_CHECK_LIB([hdf5], [H5Fcreate])
AC_CHECK_HEADER([matio.h], [], [has_matio=no])
AC_CHECK_LIB([matio], [Mat_Open], [LIBADD_MATIO="-lmatio $LIBS"], [has_matio=no])
......
This diff is collapsed.
......@@ -55,7 +55,7 @@ else
end
if ~isequal(A.freq,B.freq)
error(['dates::colon: Input arguments ' inputname(1) 'and ' inputname(2) ' must have common frequency!'])
error(['dates::colon: Input arguments ' inputname(1) ' and ' inputname(2) ' must have common frequency!'])
end
if A>B && d>0
......@@ -149,4 +149,4 @@ C.ndat = rows(C.time);
%$ t(1) = dyn_assert(d.time,e.time);
%$ t(2) = dyn_assert(d.freq,e.freq);
%$ T = all(t);
%$ @eof:3
\ No newline at end of file
%$ @eof:3
This diff is collapsed.