The following Matlab project contains the source code and Matlab examples used for solution to linear rational expectations models.
LREM_SOLVE Toolbox delivers a computationally effective method of solving regular linear dynamic systems based on Schur decomposition.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

## Project Files:

File Name | Size |
---|---|

contents.m | 2104 |

demo.m | 4723 |

gradient.m | 6896 |

gschur.dll | 7168 |

gschur.m | 1547 |

gsch_order.dll | 7168 |

gsch_order.m | 1164 |

gsylvester.m | 3744 |

gsylvester_schur.dll | 6656 |

gsylvester_schur.m | 1408 |

linear2ss.m | 2951 |

lineareq.m | 4290 |

model_reduction.m | 1467 |

null2.m | 2068 |

putv.m | 1794 |

rank2.m | 1010 |

schur_ord.m | 1576 |

solve_deterministic.m | 1731 |

solve_stochastic.m | 3346 |

state_check.m | 1745 |

state_find.m | 1180 |

state_set.m | 2338 |

solver.pdf | 483636 |