Econometrics 240F: Topics in
Cross-section Econometrics Spring 2025
This course is intended to cover material not
covered in 240D.
The pre-requisite for 240F is 240D or consent of instructor.
The course meets Tuesday and Thursday 10.30 -
11.50 am in Young 184
Course Syllabus
Topics covered:
Statistical Learning / Machine Learning for prediction
Statistical Learning and Causal Econometrics
Simulation and Monte Carlo Experiments (brief)
Bayesian Regression
Imputation (brief)
Maximum Simulated Likelihood (brief)
Bootstrap (brief)
Cluster-robust inference (brief)
Spatial regression (brief)
The course will use Stata, R and Python depending on topic
For Python click here
Graduate Econometrics at UC-Davis: Graduate Econometrics
A. Colin Cameron / UC-Davis Economics / http://cameron.econ.ucdavis.edu/