Notebook on Kernel Density Estimation
Solution to Kernel Density Estimation Exercises
Solution to Kernel Density Estimation, Exercise 2 Under The Assumption of Symmetry
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