# dynare 5.0-1build1 source package in Ubuntu

## Changelog

dynare (5.0-1build1) jammy; urgency=medium * No-change rebuild against octave 6.4.0 -- Graham Inggs <email address hidden> Wed, 19 Jan 2022 09:23:53 +0000

## Upload details

- Uploaded by:
- Graham Inggs

- Uploaded to:
- Jammy

- Original maintainer:
- Debian Octave Group

- Architectures:
- any all

- Section:
- math

- Urgency:
- Medium Urgency

## See full publishing history Publishing

Series | Published | Component | Section | |
---|---|---|---|---|

Jammy | release | universe | math |

## Downloads

File | Size | SHA-256 Checksum |
---|---|---|

dynare_5.0.orig.tar.xz | 17.0 MiB | 557bc7d8d7bbbf7d4746dd1e015b273eeeb0b53dc66b9d4004d2efef8f4fe16e |

dynare_5.0.orig.tar.xz.asc | 2.2 KiB | 57e2524c9c4d321497be3490fa6a0a74dfc160a01234122bf34cd2dfe1fbd82c |

dynare_5.0-1build1.debian.tar.xz | 56.4 KiB | f8440f5a461329a97a9b83f6a6697b869299a6e4b90666d11453ae8862059b86 |

dynare_5.0-1build1.dsc | 2.6 KiB | 88685210fbd47d38890e400a9bd1f605334357f1d0576baa5854198dc7700880 |

### Available diffs

- diff from 5.0-1 (in Debian) to 5.0-1build1 (297 bytes)

## Binary packages built by this source

- dynare: 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.

- dynare-dbgsym: debug symbols for dynare

- dynare-doc: 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 the reference

manual.

- dynare-matlab: 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.