| 1 |
The Nature and Scope of Econometrics |
| 2 |
A Review of Basic Statistical Concepts |
| 3 |
Some important probability distributions |
| 4 |
Statistical Inference: Estimation and Hypothesis Testing |
| 5 |
Basic Ideal of Linear Regression: The Two Variable Model |
| 6 |
The Two Variable Regression Model: Hypothesis Testing |
| 7 |
Multiple Regression: Estimation and Hypothesis Testing |
| 8 |
Functional Forms of Regression Models |
| 9 |
Regression on Dummy Explanatory Variables |
| 10 |
Multicollinearity: What Happens If Explanatory Variables are Correlated |
| 11 |
Heteroscedasticity: What Happens If The Error Variance is Nonconstant |
| 12 |
Autocorrelation: What Happens If Error Terms are Correlated |
| 13 |
Model Selection: Criteria and Tests |
| 14 |
Selected topics in Single Equation Regression Models |
