dcegm

Note

This is a pre-release version of the package. While the core features are in place, the interface and functionality may still evolve. Feedback and contributions are welcome.

dcegm is a Python package for solving and simulating finite-horizon stochastic discrete-continuous dynamic choice models using the DC-EGM algorithm from Iskhakov, Jørgensen, Rust, and Schjerning (QE, 2017).

The solution algorithm employs an extension of the Fast Upper-Envelope Scan (FUES) from Dobrescu & Shanker (2022).

Check out our guides to find information on getting started and useful templates for setting up a model.