Data Analysis and Applied Economics Slides

Slides for AIDE Lab undergraduate internship training in Data Analysis and Applied Economics at the University of Arizona, adapted from @NickCH-K class on Causal Inference at Seattle University.

This internship training follows The Effect: An Introduction to Research Design and Causality, all of which is currently available online.

Lecture 0: What Is Research

Lecture 1: Describing Variables

Lecture 1: Describing Variables COVID Examples

Lecture 2: Describing Relationships

Lecture 3: Causal Diagrams

Lecture 4: Identification

Lecture 5: Drawing Causal Diagrams

Lecture 6: Causal Paths & Closing Back Doors

Lecture 6b: Estimating Fixed Effects

[Lecture 7: Finding Front Doors]

[Lecture 7b: Event Study Methods]

[Lecture 8: Treatment Effects]

[Lecture 8b: Difference-in-Differences Estimation]

[Lecture 9: Causality with Less Modeling]

[Lecture 9b: Instrumental Variables in Action]