[x2023 Spring] POLS GA 1251 Quant II

Announcements and Resources

Lecture slides

Causal and Statistical Inference Foundations

  • 1 introduction [pdf]
  • 2 identification analysis with potential outcomes and DAGs [pdf]
  • 3 statistical inference for descriptive quantities 1 [pdf]
  • 4 statistical inference for descriptive quantities 2 [pdf]
  • 5 statistical inference for causal quantities [pdf]

Canonical Observational Designs

  • 6 conditioning to identify causal effects [pdf]
  • 7 multiple regression [pdf]
  • 8 matching and weighting [pdf]
  • 9 instrumental variables basics [pdf]
  • 10 instrumental variables extensions [pdf]
  • 11 front door criterion [pdf]
  • 12 did with single event [pdf]
  • 13 did with multiple events [pdf] [R notebook pdf]
  • 14 synthetic control with 1 treated unit [pdf]
  • 15 panel imputation and generalized synthetic control [pdf]
  • 16 regression discontinuity [pdf]
  • 17 regression discontinuity extensions [pdf]

Randomized Experiments

  • 18 basics of experimental design and analysis [pdf]
  • 19 complex experimental designs and design effects [pdf]

Beyond Average Treatment Effects

  • 20 mediation effects [pdf]
  • 21 moderation and heterogeneous treatment effects [pdf]
  • 22 distributional effects (to be covered in recitation) [pdf]
  • 23 interference and spillover effects [pdf]
  • 24 multiple outcomes and multiple comparisons [pdf]
  • 25 missing data [pdf]

Homework

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