Course Material

Exams

• Midterm
• Final

Problem Sets

• Problem Set 1
• Problem Set 2
• Problem Set 3
• Problem Set 4

Lecture Notes

• Topic 1: Logistics & Motivation (syllabus; slides)
• Topic 2: Review of Probability Theory
  • Part A: Probability Distributions (slides; annotated slides)
  • Part B: Expectations (slides; annotated slides)
• Topic 3: Review of Statistics
  • Part A: Properties of Estimators (slides; annotated slides)
  • Part B: Hypothesis Testing (slides; annotated slides)
• Topic 4: Introduction to Causal Inference (slides; annotated slides)
• Topic 5: Random Assignment (slides; annotated slides)
• Topic 6: Simple Linear Regression
  • Part A: The Best Linear Predictor (slides; annotated slides)
  • Part B: Ordinary Least Squares (slides; annotated slides)
• Topic 7: Selection on Observables (slides; annotated slides)
• Topic 8: Multiple Linear Regression
  • Part A: The Best Linear Predictor (slides; annotated slides)
  • Part B: Ordinary Least Squares (slides; annotated slides)