Contains Jupyter Notebooks showcasing the ConSav package.
The main tool in the ConSav package is the ModelClass class with predefined methods for e.g. saving and loading. The main selling point is that it provides an easy interface to calling Python functions jit compilled with Numba, and C++ functions. Each concrete model inherits these methods and then adds methods for e.g. solving and simulating. To get started there are three options:
- The 00. DynamicProgramming/ folder contains a simple introduction to both dynamic programming and the ConSav package. In particular, the Your First Consumption-Saving Model notebook showcases the fundamentals of the ConSav package.
- The simplest full example is the canonical buffer-stock consumption model, see the BufferStockModel notebook.
- The DurableConsumptioModel notebook contains more advanced examples. Specifically, it implements the solution methods proposed in A Guide On Solving Non-Convex Consumption-Saving Models.
If you are new to Python then try out this online course, Introduction to programming and numerical analysis.
To get started:
- Install the EconModel package:
pip install EconModel - Install the ConSav package:
pip install ConSav - Clone or download this repository
- Open your notebook of choice
We recommend running the notebooks in JupyerLab. A set of guides on how to install Python and JupyterLab is available here.
The main folder are:
- 00. DynamicProgramming/ Tutorial on dynamic programming and the ConSav package.
- 01. BufferStockModel/ Example with canonical buffer-stock model.
- 02. DurableConsumptionModel/ Example with the solution method proposed in A Guide to Solve Non-Convex Consumption-Saving Models, Druedahl, 2021, Computational Economics.
- 03. G2EGM/ Python version of the G2EGM algorithm from A General Endogenous Grid Method for Multi-Dimensional Models with Non-Convexities and Constraints, Druedahl and Jørgensen, 2017, Journal of Economic Dynamics and Control, 74 (MATLAB version).
- 04. Tools/ Showcases the various tools.
The repository EconModelNotebooks contains a number of examples on using the underlying model class.