Quantitative Social Science Methods

First course for incoming Harvard Government Department PhD students; also taken by graduate and undergraduate students in other departments, and students elsewhere through the Harvard Extension School as Stat E-200. Instructor: Gary King. 

1. Overview.
2. Statistical Models.
3. Data Generation Processes.
4. Probability.
5. Theories of Inference.
6. Likelihood Inference.
7. Uncertainty Estimates.
8. Statistical Simulation.
9. Binary outcome models.
10. Interpreting and Presenting Statistical Results.
11. Discrete Outcome Models.
12. Model Evaluation.
13. Robust Standard Errors.
14. Research Design.
15. Model Dependence.
16. Matching Methods.
17. Multiple Equation Models.
18. Missing Data.
19. Anchoring Vignettes.