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.