ECON2250 - Statistics for Economists

Fall 2025 - Afi Ramadhani

Overview

ECON2250 serves as an introduction to probability and statistics for economics. This course contains three main parts: basic probability theory, the nature of data and distributions, and basic statistical inference. Students will build a conceptual understanding of probability/statistics theory and implement and comprehend basic hypothesis testing and utilize appropriate test statistics. Finally, the course will provide a brief introduction to linear regression. Throughout the semester, students will work on a team project where they will develop a research question, answer it using methods learned in the course, and share results through a written report and presentation.

The course is designed to offer a rigorous quantitative approach while emphasizing the visualization of critical concepts using R. Particular emphasis will be given to economic data and applications. Completing this course will provide students with the necessary background for more advanced courses, such as ECON 3161: Econometric Analysis. Students will gain experience using the computing tools R and GitHub to analyze real-world data from a variety of fields.

Pre-requisites

There are no prerequisites for registering for this course, but students are strongly encouraged to complete Calculus courses, such as MATH 1551 (Differential Calculus) and MATH 1552 (Integral Calculus), before enrolling. Interested students with different backgrounds should seek instructor consent.

Class meetings

Lecture Mon & Wed 3:30 - 4:15pm TBD

Teaching team

Instructor

Afi Ramadhani is a PhD student in the School of Economics at Georgia Institute of Technology. His research interests are energy and environmental economics, applied microeconomics, and empirical industrial organization. His work focuses on how households and firms respond to the broad impact of climate change and the energy transition.

Office hours time and location on Canvas.

Teaching assistants

Name Role
TBD TA

Office hours times and locations on Canvas.

License

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