| 1 |
Introduction to Econometrics: Scope, Methodology, and Applications |
| 2 |
Review of Probability and Statistical Inference |
| 3 |
Simple Linear Regression: Model, Assumptions (OLS), and Estimation |
| 4 |
Inference in Simple Linear Regression: Hypothesis Testing and Confidence Intervals |
| 5 |
Multiple Linear Regression: Specification, Estimation, and Interpretation |
| 6 |
Violations of Classical Assumptions I: Multicollinearity and Heteroscedasticity |
| 7 |
Violations of Classical Assumptions II: Autocorrelation and Model Misspecification |
| 8 |
Midterm Examination & Review |
| 9 |
Dummy variables and interactions |
| 10 |
Qualitative and Limited Dependent Variable Models: Logit, Probit, Tobit |
| 11 |
Instrumental Variables and Two-Stage Least Squares (2SLS) |
| 12 |
Simultaneous Equations Models and Identification Problem |
| 13 |
Applied Econometric Research: Case Studies, Software Lab |
| 14 |
Final Review |
