Source: dynare
Maintainer: Debian Octave Group
Uploaders: Sébastien Villemot
Section: math
Priority: optional
Build-Depends: debhelper (>= 9), liboctave-dev, libboost-graph-dev (>= 1.36),
libmatio-dev, libgsl-dev, libslicot-dev, dh-autoreconf, libsuitesparse-dev,
texlive, texlive-publishers, texlive-extra-utils,
texlive-formats-extra, texlive-generic-recommended, texi2html, latex2html,
latex-beamer, texlive-math-extra
Standards-Version: 3.9.6
Homepage: http://www.dynare.org/
Vcs-Git: git://anonscm.debian.org/pkg-octave/dynare.git
Vcs-Browser: http://anonscm.debian.org/gitweb/?p=pkg-octave/dynare.git
Package: dynare
Architecture: any
Depends: octave, ${shlibs:Depends}, ${misc:Depends}
Suggests: dynare-doc, dynare-matlab
Breaks: dynare-common
Replaces: dynare-common
Recommends: liboctave-dev, octave-optim, octave-io, octave-statistics,
octave-control, matlab2tikz
Description: platform for handling a wide class of economic models
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. In terms of types of agents, models solved by Dynare can incorporate
consumers, productive firms, governments, monetary authorities, investors and
financial intermediaries. Some degree of heterogeneity can be achieved by
including several distinct classes of agents in each of the aforementioned
agent categories.
.
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. In
practice, the user will write a text file containing the list of model
variables, the dynamic equations linking these variables together, the
computing tasks to be performed and the desired graphical or numerical
outputs.
.
This package provides a full installation of Dynare, to be run on top of GNU
Octave.
Package: dynare-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}
Description: documentation for Dynare
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. In terms of types of agents, models solved by Dynare can incorporate
consumers, productive firms, governments, monetary authorities, investors and
financial intermediaries. Some degree of heterogeneity can be achieved by
including several distinct classes of agents in each of the aforementioned
agent categories.
.
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. In
practice, the user will write a text file containing the list of model
variables, the dynamic equations linking these variables together, the
computing tasks to be performed and the desired graphical or numerical
outputs.
.
This package contains full Dynare documentation, including a user guide and
the reference manual.
Package: dynare-matlab
Architecture: all
Section: contrib/math
Depends: ${misc:Depends}, dynare (>= ${source:Version}),
libboost-graph-dev (>= 1.36) | libboost-graph1.55-dev | libboost-graph1.54-dev | libboost-graph1.49-dev,
gfortran, matlab-support, make, libslicot-pic, libmatio-dev
Description: MATLAB support for Dynare
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. In terms of types of agents, models solved by Dynare can incorporate
consumers, productive firms, governments, monetary authorities, investors and
financial intermediaries. Some degree of heterogeneity can be achieved by
including several distinct classes of agents in each of the aforementioned
agent categories.
.
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. In
practice, the user will write a text file containing the list of model
variables, the dynamic equations linking these variables together, the
computing tasks to be performed and the desired graphical or numerical
outputs.
.
This package is only useful to users having MATLAB installed on their
machine. It contains the source of the MEX files and will recompile them using
the existing MATLAB installation.