This section uses a series of Jupyter Notebooks to explain how pyblp can be used to solve example problems, compute post-estimation outputs, and simulate problems. Other examples can be found in the API Documentation.
- Logit and Nested Logit Tutorial
- Random Coefficients Logit Tutorial with the Fake Cereal Data
- Random Coefficients Logit Tutorial with the Automobile Data
- Post-Estimation Tutorial
- Problem Simulation Tutorial