A Python library for solving, simulating, and estimating Ramesy-Cass-Koopmans models of optimal growth.
- Solve the Ramsey-Cass-Koopmans model for a given set of parameters, CRRA preferences, and Cobb-Douglas production.
- Refactor the code to encapsulate coherent blocks of functionality into functions.
- Encapsulate functions into a base model class.
- Include a model subclass for CES.
- Write some tests.
- Set up continuous integration (CI).
Our project has the following dependencies...
- pyCollocation
- pyPWT