Major Identification Issue|rank of H and J deficient

Dear All,
I am trying to estimate a two country DSGE model (see attached). And I have major identification issues which I am not able to solve. Since the parameters are naturally correlated. Does this mean I have to remove them from the model? I have run the model with mode-compute=6 and 9.
Maybe the dataset is not good or detailed enough because I am working with monthly data since I have incorporated migration framework. Additionally, I still have to work on the initial values of parameters. However, focusing only on this type message meaning pairwise collinearity+parameters being collinear with respect to others, how would I solve it?
I have read all of the posts on the forum and the literature on the identification. Still, I am not sure how to solve it.
I would appreciate any feedback.
Thank you so much!
I am trying to estimate a two country DSGE model (see attached). And I have major identification issues which I am not able to solve. Since the parameters are naturally correlated. Does this mean I have to remove them from the model? I have run the model with mode-compute=6 and 9.
Maybe the dataset is not good or detailed enough because I am working with monthly data since I have incorporated migration framework. Additionally, I still have to work on the initial values of parameters. However, focusing only on this type message meaning pairwise collinearity+parameters being collinear with respect to others, how would I solve it?
I have read all of the posts on the forum and the literature on the identification. Still, I am not sure how to solve it.
I would appreciate any feedback.
Thank you so much!