Calibration with pruning
Posted: Sun Apr 23, 2017 1:11 pm
Dear friends,
Sorry to post a trivial question. I am not familiar with higer-order approximation with pruning.
When I set "optPruning.computeIRF = 1" using MAndreason et.al(2013)'s package, IRFs for all volatility shocks shown up together. Actually, I hope there will be only desired IRFs for particular endogenous variables and shocks. May be it needs coding.
BP(2014)'s code is clear. But I am still confused how to replicate it even in calibration.
Besides, I also encountered the same problem as some users before:
dynare:k_order_perturbation: Caught Kord exception: NaN or Inf asserted in first order derivatives in FirstOrder::solve
??? Error using ==> print_info at 68
k_order_pert was unable to compute the solution
Error in ==> stoch_simul at 98
print_info(info, options_.noprint, options_);
I have tried but failed. Any tips or advice would be deeply appreciated! Thanks in advance.
Sorry to post a trivial question. I am not familiar with higer-order approximation with pruning.
When I set "optPruning.computeIRF = 1" using MAndreason et.al(2013)'s package, IRFs for all volatility shocks shown up together. Actually, I hope there will be only desired IRFs for particular endogenous variables and shocks. May be it needs coding.
BP(2014)'s code is clear. But I am still confused how to replicate it even in calibration.
Besides, I also encountered the same problem as some users before:
dynare:k_order_perturbation: Caught Kord exception: NaN or Inf asserted in first order derivatives in FirstOrder::solve
??? Error using ==> print_info at 68
k_order_pert was unable to compute the solution
Error in ==> stoch_simul at 98
print_info(info, options_.noprint, options_);
I have tried but failed. Any tips or advice would be deeply appreciated! Thanks in advance.