Note: The old training program (2023) can be found here.

Training Structure

Program participants will follow a self-guided sequence of lectures with online materials and custom problem sets tailored for economics and experimental economics.

Stata Training Sequence

All program participants have the opportunity to take the Stata training sequence, which is recommended for beginners in coding. This sequence will cover the basics and get you up to speed with conduct OLS regression, looking at summary data, and making simple plots.

R/Python Training Sequence

The goal of this sequence and problem sets is to introduce students to R and Python for economic research. We aim to teach programming in these two languages because they’re freely accessible and are commonly used in research. If you are interested in pursuing economic research, whether it be in through the honors thesis workshop or in a PhD, you should know how to program competently. We recommend taking CS 140s if you are interested in a more rigorous treatment of programming, but these notes and problems should suffice if you are only interested in learning programming relevant to economic research. Both languages will be taught: we use each language for their strengths and will perform tasks in the language that is best at it.