Calendar

LEC # TOPICS KEY DATES
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