1 Blanchard Kahn conditions are not satisfied: indeterminacy

Dear Professor, I have the following problems when using Bayesian estimation. I hope you can help me.
错误使用 print_info (line 45)
Blanchard Kahn conditions are not satisfied: indeterminacy

出错 print_info (line 45)
error([‘Blanchard Kahn conditions are not satisfied:’ …

出错 initial_estimation_checks (line 175)
print_info(info, DynareOptions.noprint, DynareOptions)

出错 dynare_estimation_1 (line 165)
oo_ =

出错 dynare_estimation (line 105)

出错 bys2 (line 376)

出错 dynare (line 235)
evalin(‘base’,fname) ;



It will reveal that you have stochastic singularity. Search the forum on this.

Dear Professor, after I modified the code, the problem you mentioned appeared. I searched for relevant solutions on the forum, but the problem still could not be solved. Therefore, I would like to ask you how to solve this problem.
initial_estimation_checks:: The forecast error variance in the multivariate Kalman filter became singular.
This is my code.bys2.mod (3.6 KB) sysj2.xlsx (15.3 KB)

Stochastic singularity happens when your observables imply an exact linear combination. For example, in your model


so you cannot observe all three without measurement error.

Dear Professor, I have added measurement errors to all the observed variables in my code, but why does such a problem exist?I hope you can help me solve this problem.Here’s my code and my data.
bys2.mod (3.7 KB) sysj2.xlsx (15.3 KB)

You defined measurement error, but set its variance to the default of 0.

  • Thanks to the professor’s help, my problem was solved