Give brief about course content / curriculum
The econometric methods course may introduce the learners to the basics of building, estimating, assessing econometric models. This course covers the following topics:
1. Meaning, Definition, Scope of Econometrics
2. Econometric Methodology
3. Assumptions and advantages of Ordinary least square (OLS) method of estimation
4. Estimation, Evaluation, Interpretation and reporting of econometric models.
5. Implications of, detection of and solutions for OLS assumption violations
8. Econometrics models with lag variables
9. Econometric models and dummy variables
10.Applications of Econometric models.
Overview
Syllabus
COURSE LAYOUT
Week- I
1. Econometrics Meaning and Scope
2. Econometric Methodology, and Aims/Goals
3. Econometric Methodology, and Aims/Goals
Week - II
4. Review of Statistics
5. Review of Statistics
6. Theoretical Distributions
7. Regression Analysis in Econometrics
Week - III
8. Types of Regression
Stochastic vs Deterministic relationships;
Rational for the use of U
9. Ordinary least squares (OLS) method Principle and Estimator
10.Characteristics of OLS estimators
11.Properties of OLS Estimators and Gauss-Markov Theorem
Week - IV
12. Estimation of Variance of Stochastic Error terms
13. Decomposition of Variations in Y: R2 and ANOVA in Regression Models
Week - V
14. Exercise Problems, Interpretation and Reporting of the Simple Linear Regression Model
15. Exercise Problems, Interpretation and Reporting of the Simple Linear Regression Model
16. Exercise Problems, Interpretation and Reporting of the Simple Linear Regression Model
17. Basics of Multiple Linear Regression Model
Week - VI
18. Exercise Problems, Interpretation and Reporting of the Multiple Linear Regression Model
19. Exercise Problems, Interpretation and Reporting of the Multiple Linear Regression Model
20. Exercise Problems, Interpretation and Reporting of the Multiple Linear Regression Model
Week - VII
21. Problems of heterosedasticity - consequences, tests and remedies.
21. Problems of heterosedasticity - consequences, tests and remedies.
23. Problems of Auto correlation (first order) - consequences, tests and remedies.
24. Problems of Auto correlation (first order) - consequences, tests and remedies.
Week - VIII
25. Problems of Multicollinearity — consequences, tests and remedies.
26. Problems of Multicollinearity — consequences, tests and remedies.
27. Lags in econometric models — Concepts, Types
28. Estimation of Lag models: Adhoc Method, Koyck model
Week - IX
29. Rationalization of Koyck Model - Partial adjustment and adaptive expectation models
30. Rationalization of Koyck Model - Partial adjustment and adaptive expectation models
31. Dummy Variables in econometric models — Concepts: Coding Dummy variables, Dummy Variable Trap
Week - X
32. Use of Dummy Variables as Independent Variables : ANOVA & ANCOVA Models & Interpretation
33. Use of Dummy Variables as Independent Variables : ANOVA & ANCOVA Models & Interpretation
34. Use of Dummy Variables as Independent Variables : ANOVA & ANCOVA Models & Interpretation
Week - XI
35. Uses of dummy as dependent Variables: Logit Model and Interpretation
36.Estimation of demand
37.Estimation of production function
38.Estimation of production function
Week - XII
39. Course Review and Discussions
40. Course Review and Discussions
Taught by
Dr.S.Pushparaj
