Lecture Videos & Notes

Students in our class will use Perusall to watch the lecture videos while helping each other, annotating the timelines, and responding to each other's annotations, questions, and other discussions.  If you're enrolled, you'll receive access to Perusall automatically (through Canvas, Harvard's learning management system).

Students not in our class can access the videos directly on YouTube here (or via direct links below; also below are PDFs of the slides I use to display during lectures on video). Instructors, or groups of students watching together, may alternatively create their own free Perusall class account by registering here, creating a course, and entering in "copy code" 6AFEYRZH4P, which will pull in all of the videos.

Notes Videos

Introduction:

Handout 

Lecture slides

 1. Overview

 2. Statistical models

 3. Data generation process

 4. Probability

Inference:

Handout

Lecture slides

 5. Theories of inference

 6. Likelihood inference

 7. Uncertainty estimates

 8. Statistical simulation

Binary outcome models:

Handout

Lecture slides

 9. Binary outcome models

10. Interpreting and presenting statistical results

Discrete & limited outcome models:

Handout

Lecture slides

11. Discrete outcome models

Model evaluation:

Handout

Lecture slides

12. Model evaluation

13. Robust standard errors

Research design for causal inference:

Handout

Lecture slides

14. Research design

Reducing model dependence:

Handout

Lecture slides

15. Model dependence

16. Matching methods

Multiple equation models:

Handout

Lecture slides

17. Multiple equation models

Missing data:

Handout

Lecture slides

18. Missing data

Anchoring vignettes:

Handout

Lecture slides

19. Anchoring vignettes