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Ph.D. Short Course on "Econometric methods for the analysis of social interactions and networks"
CEMFI, Madrid May 26th to 28th, 2014

• Syllabus
• Lecture Note 1
• Lecture Note 2
• Lecture Note 3

CEMFI Summer School Course on "Empirical methods for program evaluation and networks"
CEMFI, Madrid August 24th to 28th, 2015

• Syllabus
• Lecture Note 1 (Covariate adjustment)
  
• Lecture Note 2 (Time-varying treatments)
  
• Lecture Note 3 (Bayesian bootstrap)
• Lecture Note 4 (U Statistics)
  
• Lecture Note 5 (Matching)
  
• Lecture Note 6 (Neighborhood effects)
  
• Lecture Note 7 (Network data)
• Lecture Note 8 (Peer effects & networks)
• Lecture Note 9 (Simulating social networks)

• Python script 1
  
• Python script 2
• Python script 3

• NLSY79 extract for Python scripts
• Example adjacency matrix

First Year Ph.D Course in Econometrics
UC - Berkeley, Fall 2015

Syllabus
Problem Set 1
Problem Set 2 Dataset
Problem Set 3
Problem Set 4 Dataset

iPython Notebooks

• Notebook 1 (html format) (Empirical Relationships)
  
• Notebook 2 (html format) (Short, Long and Auxiliary Regression)
• Notebook 3 (html format) (Estimation of Partial Means)
• Notebook 4 (html format) (K-Normal Means & Nonparametric Regression)
  

Datasets

• NLSY79_TeachingExtract.csv