Econometrics 240F: Topics in Cross-section Econometrics  Spring 2024

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 Hoagland 113

Course Syllabus

Topics covered in 2024:
Statistical Learning / Machine Learning
Statistical Learning and Causal Econometrics
Bayesian Regression
Imputation (brief)
Maximum Simulated Likelihood (brief)
Spatial Regression

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/