b3877b3a9e
Save chain's proposal density and make load_mh_file and mh_recover load it
...
Closes #504
2016-06-14 15:09:05 +02:00
b454c28096
fix latex compilation on linux. #1207
2016-06-14 11:37:16 +02:00
7ff453846a
Fix passing of compflag in dyn_mex.m
...
Fixes 83eeafa32c
2016-06-14 10:45:44 +02:00
83eeafa32c
fix mex file compilation with MSVC. Closes #1227
2016-06-14 10:34:14 +02:00
2bbfb8762b
fix copyright notices
2016-06-14 10:30:57 +02:00
f145a50a85
extend path: removed global options_
2016-06-09 12:02:48 +02:00
4a6e14ea95
extended path: removed option for lcppath
2016-06-09 12:02:48 +02:00
8fa29513f3
extended path: fixing bug for order > 2 and several shocks
2016-06-09 12:02:48 +02:00
335a188dac
Fixed bug in extended path.
...
Allow innovations with zero variance (ie do not force removal of the
variables from the varexo list).
2016-06-09 10:32:25 +02:00
3d16707dd9
Updated particles submodule (bug fixes).
2016-06-01 19:56:09 +02:00
dc1cfb4509
Updated particles submodule (bug fix).
2016-06-01 17:12:39 +02:00
392977d4ef
Changed default parameters for unscented transform (Particle filters).
2016-06-01 17:01:23 +02:00
15f83d0e18
Added new option for setting weights in CPF algorithm.
2016-06-01 16:29:53 +02:00
67b808207c
Added new algorithm for the estimation of nonlinear models.
2016-06-01 16:29:53 +02:00
272e3c96f8
Updated particles submodule.
2016-06-01 16:29:53 +02:00
e0475fd4ef
extended path: use deterministic_simulation.status instead of maxerror
2016-05-31 12:10:12 +02:00
0ce2834281
extended path: fixed boundaries for linear problem
2016-05-31 12:10:12 +02:00
5024af0099
extended path: fixed calibrated shocks
2016-05-31 12:10:12 +02:00
c14125d585
PATH: fixing bugs
2016-05-31 12:10:12 +02:00
76f008e4e4
PATH: remove calls to lcppath that doesn't work with perfect foresight models
2016-05-31 12:10:12 +02:00
d106b20b69
perfect foresight: set boundaries with PATH
2016-05-31 12:10:12 +02:00
ddb9c0657c
fixing linear complementarity problem
2016-05-31 12:10:12 +02:00
450d7b099a
fixing error status for PATH hook
2016-05-31 12:10:12 +02:00
11161063d4
removing debugging output
2016-05-31 12:10:12 +02:00
c49332df43
add support for PATH for steady state
2016-05-31 12:10:12 +02:00
c159dff19c
adding hook for PATH solver
2016-05-31 12:10:12 +02:00
b8132eb556
extended path: adding support for calibrated shock.
...
This commit is not satisfactory because it uses M_.det_shocks
for unexpected shocks. We need to improve on it soon.
2016-05-31 12:10:12 +02:00
96098a17d2
Cosmetic fix to set_all_parameters.m
2016-05-30 13:31:22 +02:00
118b3ccb74
catstruct.m: remove call to nargchk, which will be removed in future Matlab versions
2016-05-28 19:32:11 +02:00
dfbad0404d
Fixed crash in sim1_linear when periods=1.
...
Closes #1176 .
2016-05-26 22:19:36 +02:00
fb4dfc6da6
Fixed typo.
2016-05-24 22:32:02 +02:00
cd55ed749c
extended_path: fixing inititalization for PATH
...
(cherry picked from commit 7d29e917f77e7e20211e5be01544d86c64af8c65)
2016-05-24 18:08:33 +02:00
28c0c92ae8
fixing typos
...
(cherry picked from commit 86995a3bd478a3dc02919424aeb77e2a550a84c5)
2016-05-24 17:57:26 +02:00
3fa6a96bfb
Added homotopy.
...
Fixes the issue of paths containing spurious solutions for (stochastic)
perfect foresight models.
2016-05-24 17:28:24 +02:00
cfc6957625
Cosmetic changes.
2016-05-24 17:28:24 +02:00
8b5b7921f6
Improved solver for (S)EP.
...
Use previous solution as an initial condition for the perfect foresight problem.
2016-05-24 17:28:24 +02:00
80f1baad7e
Changed solver in simul_backward_nonlinear_model.
2016-05-24 17:28:24 +02:00
6c7f3f1932
Added input to pass sequence of shocks.
2016-05-24 17:28:24 +02:00
7d1d860a53
Fixed ep.init option.
...
Initialization of the perfect foresight solver (in extended path) with
the solution of the first order approximation of the model was broken.
If the value of options_.ep.init is "true"" (1) then the solution of the
first order approximation is used as an initial guess for the newton
lilke solver. If the value of options_.ep.init is "false" (0) the solver
is initialized with the steady state.
2016-05-24 17:28:24 +02:00
dabdda0506
Fixed wrong definition of a logical variable.
...
The second outputr returned by perfect_foresight_solver_core is the
max. abs. residual, not a dummy variable indicating success or failure
of the perfect foresight solver.
2016-05-24 17:28:24 +02:00
fbf2fae036
Changed option value for unscented integration nodes.
2016-05-24 17:28:24 +02:00
fdbd4fa7a7
Code factorization.
...
- Added routines for initializing and setting shocks in EP.
- Added a specialized routine for doing Monte Carlo around EP.
2016-05-24 17:28:24 +02:00
3bbac629ed
Cosmetic change.
...
Removed maximum_lead and maximum_lag in extended_path routines.
2016-05-24 17:28:24 +02:00
d74f315bfb
Fixed bug in (Stochastic) Extended Path algorithm.
...
Innovations were not correctly passed to the non linear solver. Closes #1128 .
2016-05-24 17:28:24 +02:00
4926b6c6ff
Added a routine the residuals of a model.
...
Takes a path for the endogenous variables and returns the residuals of
the dynamic equations. This routine is useful for solving the model with
the PEA approach.
2016-05-24 17:28:24 +02:00
ea1ebfa911
Added argument to simul_backward_nonlinear_model.
...
First input argument is a vector for the initial condition of the
endogenous variables. If empty, the steady state of the model is used.
2016-05-24 17:28:24 +02:00
e507a6d0a9
Fixed copyright header.
2016-05-24 17:28:24 +02:00
8958b7ef98
Cosmetic changes.
2016-05-24 17:28:24 +02:00
3a1f74d7a7
Fixed typo.
2016-05-24 17:28:24 +02:00
13ca15a278
Allow (S)EP with arbitrary sequence of innovations.
...
The third input argument of extended_path Matlab/Octave's routine is the
sequence of shocks (T*n array, where n is the number of exogenous
variables and T is the size of the sample). If the third argument is
empty, the (stochastic) extended path is run with gaussian
innovations (this corresponds to the previous behaviour).
TODO:
- Fix the compatibility with ep.replic_nbr
- Check the 'calibrated' mode.
2016-05-24 17:28:24 +02:00
Johannes Pfeifer
Houtan Bastani
Michel Juillard
Stéphane Adjemian (Hermes)