14.33: Economics Research and Communication
This tutorial will teach you how to work with data in economics research. Whether you're using Stata, R, or Python, you'll learn the fundamentals of loading data, cleaning it, combining datasets, creating visualizations, and running regressions.
Install Stata or R, set up your project folder, and learn the basics of the interface. Includes the one-command project setup script.
2Load, clean, reshape, and merge datasets. This is where most of your time will be spent, so we cover it thoroughly.
3Create summary statistics, visualizations, and publication-ready tables that describe your data.
4Understand causal inference, selection bias, and research design. The conceptual foundation for empirical economics.
5OLS, panel data, instrumental variables, difference-in-differences, and event studies with practical examples.
6Loops, programming, and working with large datasets efficiently.