| Part 1: Introduction |
| 1 | Problems of Measuring Effects and Causes | |
| 2 | Multivariate Regression | |
| Part 2: Matrix Algebra |
| 3 | Matrix Algebra - Vectors and Matrices, Addition, Multiplication | |
| 4 | Matrix Algebra - Determinants and Inverses | |
| 5 | Matrix Algebra - Inverses and Quadratics | |
| 6 | Matrix Algebra - Differentiation and Optimization | |
| Part 3: Regression Model |
| 7 | Model and Interpretation
Projections and Partial Regression Plots
Properties: Unbiasedness and Bias | |
| 8 | Properties of Estimates | |
| 9 | Variance and Confidence Intervals | |
| 10 | Prediction | |
| 11 | Hypothesis Tests and Model Selection | |
| 12 | Maximum Likelihood Estimation | |
| 13 | Qualitative Dependent Variables: Probit and Logit | |
| | Mid-term exam |
| 14 | Sources of Inefficiency: Heteroskedasticity and Weighting | |
| 15 | Bootstrapping and Quantile Regression | |
| Part 4: Quasi-Experiments |
| 16 | Panel Models | |
| 17 | Panel Models (cont.) | |
| 18 | Instrumental Variables | |
| 19 | Instrumental Variables (cont.) | |
| 20 | Research Design | |