- lsqnonlin takes less time in Andreasen toolbox due to different handling of bounds; our approach is better (objective is smaller for RBC model)
- user-specified weightning matrix does work
- qz_criterium is set to 1+e-6 to allow for unit-roots (but observables need to be stationary)
- informative message is printed that NaN values in data moments are replaced by mean
- estimated_params_bounds work as well as informative message when parameters are not calibrated
- SMM at any order without pruning works
- SMM with pruning works for orders 1,2,3; for orders above 3 simult_.m throws an error that pruning is not available
- Analytical standard errors for GMM and Bayesian estimation is included
- dirname is not needed
- Remaining to dos are updated
- Set pruning to false as default, for GMM we turn it on for order>2 and display a message for the user that we do so
- Provide error if users try GMM with order > 3
- For SMM, order > 2 and no pruning, simult_.m uses Dynare++ routines which require a seed