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Tutorials

Everything you need to do empirical economics research

Work through these tutorials in order. Start with the reference guide to get your tools set up, attend the in-class Stata sessions, then study the worked examples to see complete research projects.

• Reference Intro to Data Analysis

  A comprehensive guide covering installation, project setup, data cleaning, visualization, and regression. Available in Stata, R, and Python. Use this as your reference throughout the course.

• In-Class Stata Session 1: Basics through Merging

  Stata fundamentals: exploring data, creating variables, importing CSVs, reshaping between wide and long, and merging datasets. Includes live quizzes.

• In-Class Stata Session 2: Loops, Organization, Regression

  Loops and locals, project organization best practices, and regression commands (OLS, fixed effects, IV). Includes live quizzes.

• Supplement Diff-in-Diff and Event Studies

  Two-way fixed effects, event study specifications, and visualizing treatment effects. Learn to test parallel trends and interpret dynamic effects.

• Example BAC Laws and Hit-and-Run Crashes

  A complete diff-in-diff analysis examining how blood alcohol content laws affect fatal hit-and-run crashes. Covers data collection, cleaning, merging, and regression.

• Coming Soon Texting Bans and Traffic Accidents

  An event study examining the effects of texting-while-driving bans. Coming before the final project deadline.