Political Science 581: Quantitative Political Methodology I (2023)
Graduate Course, Washington University in St. Louis Department of Political Science, 2023
I was the Assistant in Instruction for a graduate linear models course, which involved making (and updating) lab materials. Most of these are adapted from materials made by Dahjin Kim, Ben Noble, and Cecilia Sui. You can read the syllabus here.
Lab 1 on Discrete and Continuous Random Variables. The related assignment is here.
Lab 2 on the Normal Distribution and Multivariate Distributions generally. The related assignment is here.
Lab 3 on Model-Based Inference, Asymptopia, and some R basics. The related assignment is here.
Lab 4 on a formal introduction to Ordinary Least Squares and OLS mechanics in R. The related assignment is here.
Lab 5 on a deeper look into OLS analytically and in R. The related assignment is here.
Lab 6 on Gauss-Markov properties of the OLS estimator. The related assignment is here.
Lab 7 on some regression diagnostics using R. The related assignment is here.
Lab 8 on the Bias-Variance Tradeoff as well as Cross-Validation using R. The related assignment is here.
Lab 9 on Endogeneity, as well as an introduction to Instrumental Variables using R. The related assignment is here.
Lab 10 on Instrumental Variables, as well as Frequentist Inference and Hypothesis Testing. The related assignment is here.
Lab 11 on F-Testing and Interaction Terms. The related assignment is here.
Lab 12 on Causal Inference and the Sample Average Treatment Effect.
Lab 13 on basic Matching techniques