7094a45f6d
Revert "Make error message for prior violation more explicit by adding second argument to info()"
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This reverts commit 2815d5fbd4
2013-05-02 14:31:29 +02:00
2815d5fbd4
Make error message for prior violation more explicit by adding second argument to info()
2013-04-26 20:20:23 +02:00
e1f702f83a
Various fixes to steady state computation in estimation DLL
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Still not working… Valgrind detects unitialized values during the call to
hybridjs…
2013-04-18 18:28:34 +02:00
40e5c61ec7
Restrict endogenous prior to stationary models and allow for measurement error
2013-03-18 23:46:15 +01:00
a090a7c35e
Add endogenous priors
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Add option and code for endogenous priors according to
Christiano/Trabandt/Walentin 2011, JEDC. Still needs to be integrated to
manual and pre-processor.
2013-03-17 22:51:23 +01:00
74c300939a
making sure that dsge_likelihood.m always returns a value in fval
2012-10-24 10:02:17 +02:00
dd8f16c8db
Revert "reset penalty to 1.e8." Too big a penaly is not desirable.
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This reverts commit fcceec896a
2012-10-01 14:23:21 +02:00
fcceec896a
reset penalty to 1.e8.
2012-10-01 08:53:50 +02:00
421e1a39fc
Merge remote-tracking branch 'ratto/master'
2012-09-27 16:36:00 +02:00
894b3d69f4
Added an option to decide if dsge_likelihood should call univariate filters when the covariance matrix of
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the prediction error is singular (default is yes).
2012-09-27 14:48:07 +02:00
16fa6efc8d
Replace NaN with numeric penalty when diffuse filter does not kill unit roots.
2012-09-26 16:00:18 +02:00
8d4c812671
Merge remote-tracking branch 'ratto/master'
2012-09-17 10:29:53 +02:00
b756ee1819
Analytic derivatives: make them work for lik_init==2 as well
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(lik_init =3 and =4 still to be worked out)
2012-09-14 17:07:38 +02:00
e637319be5
bug fix. the diffuse filter should simply penalize the likelihood with the NaN without breaking the estimation (this is in line with missing_observations_kalman_filter_d.m).
2012-09-14 17:05:35 +02:00
3658b02455
Fixed bug. If info==19 (steady state routine returns check=1) info(2) is NaN, so that it is not possible to define an endogenous penalty. In this case we just add one to objective_function_penalty_base.
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(cherry picked from commit d2912b264c326b3f349984b605787045b028b992)
2012-09-14 17:05:31 +02:00
d60202616a
fixed problem with penalty in estimation. Created a new global scalar:
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objective_function_penalty_base. It is the only simple way that I
found to keep csminwel1.m to be able to handle general functions.
2012-08-28 12:17:07 +02:00
6b91301365
Reduce memory requirements for analytic Hessian.
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Tested with QUEST III (Ratto et al. 2009): 63 params and 59 state dimension.
2012-08-21 16:00:55 +02:00
2e9ae5df28
dealing with info == 8 (Nan in Jacobian) during estimation
2012-08-06 12:00:03 +02:00
6b3bd9dd0b
penalty is now passed as a field of bayestopt_ (or BayesInfo)
2012-08-02 22:23:29 +02:00
47353a276b
bug fix: the anlytic hessian was wrong with estimated stderr.
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Manual cherry pick from Commit: 36853cb7615de41ca61ed92decf8bbe81ab40cba
2012-08-02 14:57:20 +02:00
ed4d37341c
Fix problem with models where steadystate files change parameter values.
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1) allow to compute derivatives starting from NUMERICAL derivatives of jacobian and steady state: this has a minor cost in accuracy and allow apply without errors identification and estimation with numerical derivatives;
2) added trap in dynare_estimation_init: if steadystate changes param values, automaticly shifts to numerical derivs of jacoban and steady state + analytic derivatives of all the rest;
3) bug fixes for 2nd order derivatives w.r.t. model parameters;
2012-07-05 10:14:10 +02:00
379972d715
Removed prior_penalty in dsge_likelihood.
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If options_.prior_trunc is set to zero (the default is strictly positive) then prior_correction is infinite because the prior density is zero (this is not true for the uniform prior)... This does not help the optimizer. Even if we do not fall in this case (because options_.prior_trunc>0 or becuase only uniform priors are used for the bounded parameters) the meaning of this correction is unclear.
2012-07-04 13:04:49 +02:00
abad13d020
Kill estimation if the likelihood is complex or NaN.
2012-06-14 15:32:15 +02:00
2a8436aa44
Extends the block Kalman filter to the missing observations case (not called for the moment)
2012-06-11 10:39:25 +02:00
129553579a
Merge remote-tracking branch 'ratto/master'
2012-06-08 18:24:18 +02:00
1f9cea669a
Update copyright notices
2012-06-08 18:22:34 +02:00
69d015a777
Asymptotic Hessian now works also for univariate stationary KF.
2012-06-08 15:26:14 +02:00
2fecf9946b
1) Extended optimizer = 5 for analytic derivatives;
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2) Start adapting identification routines to allow computation of analytic asymptotic Hessian with KF routines
2012-06-08 14:23:18 +02:00
c26a211827
analytic_derivation and loglinear are incompatible
2012-06-08 11:33:33 +02:00
7f9d2968d9
fixed bug introduced in previous commit: offset needs to be computed for analytic derivatives.
2012-06-08 08:50:07 +02:00
06ca265272
Complete the bug fix for the calibrated correlations in the structural and measurement covariance matrices.
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Call set_all_parameters routine in dsge_likelihood. Note that
correlations between innovations are not allowed in dsge-var models.
2012-06-07 15:13:39 +02:00
3cbd702b3e
Fixed bugs (initialization of the Kalman filter with the fixed point of the Riccatti equation).
2012-06-06 18:25:07 +02:00
dc7c0fa74d
Include prior info in penalty with Bayesian estimation.
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This can improve a bit optimization routines when parameter go beyond prior bounds during line search algorithms or when numerical gradient is computed.
2012-05-31 14:44:16 +02:00
da9ec0f187
Estimation with analytic scores and hessian;
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This includes re-setting the list of output arguments in objective functions
Added test function
2012-04-29 21:18:33 +02:00
bb02c4d6df
Bug fix for univariate KF (nobs was not defined, replaced with pp) + provisions fro eliminating dsge_likelihood_hh function;
2012-04-29 21:18:33 +02:00
eed54fb08a
- Adds new algorithms to solve Lyapunov equations: Doubling algorithm and Square root solver. Their respective names are "doubling" and "square_root_solver".
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- Adds the tolerance criteria for the iterative solvers (sylvester_fixed_point_tol, lyapunov_fixed_point_tol and lyapunov_doubling_tol)
- Updates the reference manual
2012-04-20 19:23:00 +02:00
8ac14f8c80
Adds fixed point solvers for Sylvester and Lyapunov equations
2012-03-06 12:03:23 +01:00
636cd1bae6
calling always multivariate Kalman filter first, even if univariate
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diffuse Kalman filter was used before
2012-01-22 18:59:19 +01:00
cfb5114d41
corecting logic for selecting univariate diffuse filter and dealing
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with correlated measurement errors
2012-01-22 18:37:29 +01:00
111347469f
adding comment explaining initialization of persistent variable
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penalty in dsge_likelihood.m and dsge_likelihood_hh.m Removed misleading
initialization code. Added call to dsge_likelihood_hh in
initial_estimation_checks to initialize persistent variable in that
function as well.
2012-01-09 21:23:17 +01:00
f9d2dec97f
preparing dsge_loglikelihood.m for future integration of estimation DLL
2012-01-08 21:55:02 +01:00
d12e1b7801
replaced BayesInfo.penalty by penalty as it is now a persistent variable
2012-01-08 17:58:22 +01:00
bf69bac140
Fixed typo in comments.
2011-12-26 17:46:49 +01:00
41c8faf176
Fixed header.
2011-12-26 17:46:49 +01:00
ecac871435
Changed the name of DsgeLikelihood (-> dsge_likelihood).
2011-12-26 17:46:48 +01:00
Johannes Pfeifer
Sébastien Villemot
Michel Juillard
Marco Ratto
Stéphane Adjemian (Charybdis)
Sébastien Villemot
Ferhat Mihoubi
Ferhat