kartechbabu / empiricalio2020cergy

Course information Empirical Industrial Organization 2020 at Cergy Paris Université

Take-Home Exam

Notebook Take-Home Exam

Dataset for Take-Home Exam

Lecture 1

Slides Lecture 1

Lecture 2

Slides Lecture 2

Notebook on Kernel Density Estimation

Solution to Kernel Density Estimation Exercises

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

Lecture 3

Lecture Notes

Slides Lecture 3

Tutorial for Python package used

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

Exercise

Notebook with BLP Exercise

Solution of BLP Exercise

Lecture 4

Slides Lecture 4

Notebook on Maximization and Equation Solving

Solution of Maximization and Equation Solving Exercise