2) fixed bug for the ML base (bayestopt_.pshape==0);
3) make more transparent the error when the model does not solve at prior_mode or prior_mean;
4) when prior_mean or prior_mode fail, try 50 times with randomly generated samples from the prior before interrupting identification.
This commit fixes issues related to fabiac forum request and subsequent discussion with Johannes.
http://www.dynare.org/phpBB3/viewtopic.php?f=1&t=4402&p=10771&hilit=identification&sid=64c6f9d987a2641e79dd5722137eb483#p10771
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;
-) never use normalization for SVD and brute force covariance checks;
-) Jacobians are normalized for checking the rank condition: this should allow for more uniformity in results across models.
-) removed obsolete commented lines or unused variables;
-) when Asymptotic Hessian is available, take SVD of that for identification patterns;
-) when computing analytic Hessian, scores are not necessary (no_DLIK=1);
-) fixes in output info when Hessian is available.
9747cb78940f41ba3d6c262b2e77a0aa01576d3d
730100282f17974d86510a9ebbaad735f27c46ba
* 1) bug fixes: non-initialized ide_strength when no param is identified; normaliz1 set to one when prior std is inf; HIGHEST SVD bar fixed (wrong singluar values were plotted).
2) Simplified advanced output (no more multicollinearity and pair-wise correlations!).
3) Beautified output of collinear groups of variables.
4) use of sensitivities normalized with std errors.
2) several fixes and improvements in dynare_identification.m:
-) provide more info for strength of identification (relative to prior)
-) more drastic warning off
-) print info from ident_bruteforce.m
1) new default option for prior_mc = 1;
2) new option: advanced (default=0). If advanced=0, simple messages and plots; advanced=1 shows all details about weak identification diagnostics;
3) new option: periods (default=300). Length of stochastic simulations to generate simulated moments for 'GMM type' analysis of strength of identification;
4) new option: replic (default = 100). Number of replicated simulated moments for 'GMM type' analysis of strength of identification;
5) new feature: allow local identification analysis WITHOUT defining priors, using parameter values as defined in the .mod file definition.
6) simplified graphical and tabular output.
Sébastien Villemot
Marco Ratto
Houtan Bastani
Sébastien Villemot
Johannes Pfeifer
Michel Juillard
Stéphane Adjemian (Scylla)
ratto
michel
sebastien