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Solution to Linear Rational Expectations Models

by Pawel Kowal

 

01 May 2006 (Updated 16 May 2006)

No BSD License  

Solves linear rational expectation models, delivers derivatives of solutions

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Description

LREM_SOLVE Toolbox delivers a computationally effective method of solving regular linear dynamic systems based on Schur decomposition. The toolbox finds the solution or informs that there are no solutions. One of the advantage of presented method is possibility of problem dimension reduction. This allows for efficient solution of models with very large set of endogenous variables and moderate set of state variables. Presented method allows for considering models with sunspots. We also derive first differential of matrices describing model dynamics with respect to model parameters.

MATLAB release MATLAB 7.0.1 (R14SP1)
Zip File Content  
Other Files
lrem_solve/contents.m,
lrem_solve/demo.m,
lrem_solve/gradient.m,
lrem_solve/gschur.dll,
lrem_solve/gschur.m,
lrem_solve/gsch_order.dll,
lrem_solve/gsch_order.m,
lrem_solve/gsylvester.m,
lrem_solve/gsylvester_schur.dll,
lrem_solve/gsylvester_schur.m,
lrem_solve/linear2ss.m,
lrem_solve/lineareq.m,
lrem_solve/model_reduction.m,
lrem_solve/null2.m,
lrem_solve/putv.m,
lrem_solve/rank2.m,
lrem_solve/schur_ord.m,
lrem_solve/solve_deterministic.m,
lrem_solve/solve_stochastic.m,
lrem_solve/state_check.m,
lrem_solve/state_find.m,
lrem_solve/state_set.m,
solver.pdf
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Updates
16 May 2006

adding some documentation

Tag Activity for this File
Tag Applied By Date/Time
simulation Pawel Kowal 22 Oct 2008 08:24:03
linear rational expectations models Pawel Kowal 22 Oct 2008 08:24:03
schur decomposition Pawel Kowal 22 Oct 2008 08:24:03
sunspots Pawel Kowal 22 Oct 2008 08:24:03
 

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