my model runs smoothly and makes sense for my initial calibration (taken from the initial model that I develop further). When I recalibrate my model to the country that I want to analyse (I use data to find sensible values for 2 “big ratios” to determine 2 parameters and recalculate the steady state using the steady_state_model block), the steady state is solved and the values make sense (are close to the values before). However the BK conditions fail. I noticed earlier that the solution of the model seems to be sensitive to some parameters.
What would be a good way to approach this problem apart from trial and error (i.e. fixing other parameters/variables in the steady state and solving the steady state again etc.)?
Thanks a lot.
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