Slides were prepared for concepts/methods that students found difficult to understand; most instructions and explanations are annotated in the do-files.

• Lab 10 - Comparing Coefficients of Logit/Probit Models: Heterogeneity in Latent Scales
  • Slides
  • do-file
• Lab 9 - Measurement Error, Instrumental Variables, and Multiple Imputation
  • do-file
• Lab 8 - Causal Inference (cont.) & Panel Data
  • do-file
• Lab 7 - Introduction to Causal Inference: Ignorability, SUTVA, and Propensity Scores
  • Slides
• Lab 6 - Sampling and Weighting
  • do-file
  • R-code to illustrate how different sampling schemes influence the variance of estimators
• Lab 5 - Imputation of Top-coded Income Variable using Pareto Distribution, Scatterplot Smoothing, Regression Splines, and Information Criteria
  • do-file
• Lab 4 - Ordered Logistic Regresssion (cont.), Generalized Ordered Logistic Regression
  • do-file
• Lab 3 - Latent Variable Formulation of Logistic/Probit Regressions, Ordered Logistic Regression
  • Slides
  • do-file
• Lab 2 - Review of Interactions, Polynomials, and Logistic Regression (cont.)
  • Slides
  • do-file
• Lab 1 - Review of Linear Regression and Logistic Regression
  • Slides
  • do-file