Notebook on Kernel Density Estimation
Solution for Notebook on Kernel Density Estimation (under the assumption of symmetry)
Solution for Notebook on Kernel Density Estimation (without symmetry assumption)
Please install pyblp
, a Python package that estimates the Berry-Levinsohn-Pakes model. Please run these command lines in an Anaconda Prompt:
conda update numpy scipy sympy patsy
pip install pyblp
See here for more details.
Please download the following notebooks, read them carefully, and execute the code:
- Logit and Nested Logit
- Random Coefficient Logit
- Random Coefficient Logit with Automobile Data
- Post-Estimation