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Causal Inference for the Social Sciences
PS 239
Spring 2010
Lecture: Mondays 4-7 in 791 Barrows
Section: Wednesdays 2-4 in 101 Wurster

Contact Information:
Instructor: Jas Sekhon
sekhon[at]berkeley(dot)edu
Office Hours: Wednesday 4pm - 5pm 		GSI: Danny Hidalgo
fdhidalgo[at]berkeley(dot)edu
Office Hours: 		GSI: Erin Hartman
ekhartman[at]berkeley(dot)edu
Office Hours:


Class Syllabus
Section Syllabus

Class Presentation Schedule


Section Notes

Section 1 - Sensitivity Analysis
Section 2 - Stratification and Optimal Matching
Section 3 - Instrumental Variables
Section 4 - Manski Bounds
Section 5 - Parallel Programming in R
Section 6 - Data Scraping
Section 7 - Clustered Data
Section 8 - Panel Data
Section 9 - Weighting Methods
Section 10 - Experiments

Section Code Examples

Section 1 - Sensitivity Analysis Examples, data
Section 2 - Stratification and Optimal Matching Examples, data
Section 3 - Instrumental Variables


Section 6 - Data Scraping
Section 7 - Clustered Data, data

Readings

Week 2
- Eggers and Hainmeuller - "MPs for Sale? Estimating Returns to Office in Post-War British Politics"



Dropbox

- Dropbox

Other Useful Materials and Links

Fall 2009 Class Website
Rocio Titiunik's Website for the Course:
Probability Notes
Intro Matrix Algebra Notes
Identification of treatment effects