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    PhD Causal Inference and Machine Learning

    450B: Causal Inference (W:2021,2022)

    TA for Prof Jens Hainmueller

    • Visualising identification strategies
    • Slides
      • Randomised Experiments
      • Selection on Observables
      • Sensitivity Analysis
      • Difference in Differences
      • Panel Data and Synthetic Control
      • Instrumental Variables
      • Regression Discontinuity Design

    450C: Machine Learning (S:2021,2022)

    TA for Prof Justin Grimmer

    • Slides
      • Maximum Likelihood Basics
      • Principal Components Analysis
      • Random Forests and GAMs
      • Text Analysis and LDA
      • ML and Causal Inference
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