Jas's Homepage | Danny's Homepage

Causal Inference for the Social Sciences
PS C236A / Stats C239A
Fall 2010
Lecture: Mondays 4-7 in 118 Barrows
Section: Wednesdays 2-4 in 118 Barrows

Contact Information:
Instructor: Jas Sekhon
sekhon[at]berkeley(dot)edu
GSI: Danny Hidalgo
fdhidalgo[at]berkeley(dot)edu
Office Hours: Thursdays 2:30pm - 4pm, 715 Barrows


Class Syllabus
Lecture Notes: presentation version; print version


Section Notes

Section 1 - OLS
Section 2 - Potential Outcomes
Section 3 - Randomization Inference
Section 4 - Univariate Matching
Section 5 - Regression Discontinuity
Section 6 - Genetic Matching
Section 7 - Balance Checking
Section 8 - Instrumental Variables, The Bootstrap

Section Code Examples



Section 3, data
Section 4, welder data, Chechnya data
Section 5, data
Section 6
Section 7, Cluster Code Example, Cluster setup code
Section 8, data


Assignments
- Problem Set 1, data
- Problem Set 2
- Problem Set 3, data
- Problem Set 4, data , codebook
- Problem Set 5, data
- Problem Set 6, data , paper , codebook
- Problem Set 7, problem 1 and 2 data , problem 3 data , codebook , article

Solutions
- Problem Set 1 Solutions
- Problem Set 2 Solutions, R code
- Problem Set 3 Solutions, R code
- Problem Set 4 Solutions
- Problem Set 5 Solutions, R code


Readings

- Chapter 1 and 2 from Fisher's The Design of Experiments
- Paul Rosenbaum's Design of Observational Studies

Other Useful Materials and Links

Rocio Titiunik's Website for the Course:
Probability Notes
Intro Matrix Algebra Notes
Identification of treatment effects
R Review Session Code , data