After #144 and the rbc estimation is complete, put in a placeholder in notebooks/rbc_model.ipynb which shows defining the model.
[ ] This should shaer the manifest wit hthe other example in that folder.
[ ] It doesn't need to have all of the readme text, just the definition of the model and maybe the simple execution of it
[ ] I would add in some tricks with the DifferenceEquaitons repo as well? Maybe pick pseufotrue and simulate it within the notebook itself before estimation?
[ ] For this, I think we could stick with only a simple estimation like the kalman filter and not worry about joint - which they could use on the other one.
After #144 and the rbc estimation is complete, put in a placeholder in
notebooks/rbc_model.ipynbwhich shows defining the model.