Tentative Curriculum and Schedule


Tentative Curriculum and Schedule

Week 1

Day 1 (July 31): Introduction & Randomized Experiments

  • Introduction to causation
  • Rubin Causal Model & potential outcomes notation
  • Research designs & design elements
  • Randomized experiment & treatment noncompliance

Day 2 (August 1): Basic Regression Discontinuity Designs (RDD)

  • Sharp RDD
  • Parametric and nonparametric analysis of the sharp RDD
  • Threats to validity

Day 3 (August 2): More Complex Regression Discontinuity Designs and Advanced Issues

  • Fuzzy RDD
  • Comparative RDD
  • Multivariate RDD
  • Parametric and nonparametric analysis of the more complex RDDs
  • Power issues

Day 4 (August 3): Interrupted Time Series (ITS) Designs

  • Basic ITS design
  • Comparative ITS design / difference-in-differences design
  • Parametric and nonparametric analysis of ITS designs

Day 5 (August 4): Interrupted Time Series Designs: Advanced Issues

  • Fixed effects vs. random effects estimation
  • Threats to validity
  • Design elements 

Day 6 (August 7): Nonequivalent Control Group Designs (Matching)

  • Confounding
  • Nonequivalent control group designs (matching designs)
  • Propensity score (matching, stratification, weighting)
  • Parametric and nonparametric analysis of nonequivalent control group designs

Day 7 (August 8): Nonequivalent Control Group Designs (Matching): Advanced Issues

  • Covariate selection
  • Sensitivity analysis
  • Multilevel matching strategies
  • Design elements

Day 8 (August 9): Instrumental Variable (IV) Designs

  • Basic IV design
  • Complier average treatment effect
  • Analysis of IV designs           

Day 9 (August 10): Instrumental Variable Designs: Advanced Issues

  • Weak instruments & finite sample bias
  • Multiple instruments & multiple treatments
  • Conditional IV estimation

Day 10 (August 11): Special Issues & Review

  • Pattern matching & coherence
  • Review & sum up