Kalman filter in a backward-looking model
Posted: Wed Aug 28, 2013 4:27 pmHi everyone,
I basically simulate some data using a backward-looking model (using the data_gen4.m file) and then I try to use dynare to recover the filtered shocks (using the Kalman filter or smoother). I do get values for the shocks after filtering that seem to be in line with the actual values, except for nu_M (whose values are always zero after filtering). Also, when I look at oo_.SmoothedVariables.M I get a sequence of zeros which is quite surprising, given that the actual M differs significantly from zero.
I was wondering if anyone could explain to me what I am doing wrong and why the Kalman filtering does not recover the M and the nu_M properly?
Thank you very much!
Alexis
I basically simulate some data using a backward-looking model (using the data_gen4.m file) and then I try to use dynare to recover the filtered shocks (using the Kalman filter or smoother). I do get values for the shocks after filtering that seem to be in line with the actual values, except for nu_M (whose values are always zero after filtering). Also, when I look at oo_.SmoothedVariables.M I get a sequence of zeros which is quite surprising, given that the actual M differs significantly from zero.
I was wondering if anyone could explain to me what I am doing wrong and why the Kalman filtering does not recover the M and the nu_M properly?
Thank you very much!
Alexis