About
Course Instructor
This course is offered by the Department of Development Economics, Kerala Agricultural University, as part of the BSc Hons Cooperation and Banking programme (6th Semester).
About the Course
ECON 3209 — Econometrics with Python introduces students to empirical economic analysis using Python. The course integrates theoretical econometrics with hands-on computational practice, preparing students for data-driven research in cooperative banking, agricultural economics, and allied fields.
About Kerala Agricultural University
Kerala Agricultural University (KAU) is the premier agricultural university in Kerala, India. Established in 1971, KAU offers undergraduate, postgraduate, and doctoral programmes in agriculture, horticulture, forestry, fisheries, food science, cooperation and banking, and other allied sciences.
Technology
This course website and all interactive slide decks are built with:
- Quarto — scientific and technical publishing
- Modern in-browser Python tooling for live code execution
All course materials are open and freely accessible.
Acknowledgements
The Python programming sections of this course draw heavily from the freely available notes of:
- Kevin Sheppard (University of Oxford) — Introduction to Python for Econometrics, Statistics and Data Analysis — a Jupyter notebook–based course covering Python for Finance and Econometrics, with accompanying YouTube lectures. Available at github.com/bashtage/python-introduction.
- Weijie Chen — Econometrics with Python — lecture notes covering econometrics from simple regression through panel data and time series, implemented in Python. Originally developed for quantitative analyst training and suitable for graduate students. Available at github.com/weijie-chen/Econometrics-With-Python.
The econometrics content follows the treatment in Maddala & Lahiri (Introduction to Econometrics, 4th ed., Wiley) and Wooldridge (Introductory Econometrics, 7th ed., Cengage). Students are encouraged to consult both texts alongside the course slides.