2) distinguish between no solution (iwrong index) and violation of prior restrictions (inorestriction)
3) smirnov tests for indeterminacy and explosive roots should be done EXCLUDING no solution cases
2) fixed graphical and printed output for prior stab_map_.m;
3) use corrcoef for pvalue and change default pvalue_corr, alpha2_redform, alpha2_rmse to 1.e-5
* Second and third positional arguments after the name of the
estimated parameter in the estimated_params block are only
considered in the optimization stage (not in the MCMC)
* Do not store bounds in bayestopt_, because bounds do not always
reflect restrictions implied by prior shapes.
* prior_bounds routine returns a structure (with fields lb and ub)
instead of a matrix.
Sensitivity analysis for irf and moment calibration, with new function /gsa/map_calibration.m
Added new tests/gsa/ls2003a.mod for testsuite of irf/moment calibration
To be done:
- extend SA of calibration to MC and posterior samples (currently uses prior sample only)
- documentaion
- partial progress to close#267
Replace them by equivalents in M_ (and an extra one: M_.dynamic).
IMPORTANT POINT: oo_.dr.npred used to count both purely backward and mixed/both
variables. This was the cause of lots of confusion. The new M_.npred only
counts purely backward variables.
We now have the following indentities:
M_.npred + M_.nboth + M_.nfwrd + M_.nstatic = M_.endo_nbr
M_.nspred = M_.npred + M_.nboth
M_.nsfwrd = M_.nfwrd + M_.nboth
M_.ndynamic = M_.npred + M_.nboth + M_.nfwrd
1) options_gsa passed as function argument
2) use pvalues always to trigger Smirnov plots and correlation plots;
3) eliminated density plots in rmse analysis;
4) updated tex documentation
Removed globals from DsgeVarLikelihood and changed the calling sequence. As in DsgeLikelihood, the penalty is now a
persistent variable.
Added a global structure for the data: dataset_.
Removed globals from dsgevar_posterior_density and mode_check.
Simplification of the clode, definition of the variable objective_function at the top of dynare_estimation_1 (equal
to 'DsgeLikelihood' or 'DsgeVarLikelihood').