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