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 Regressio Stochastic vs Deterministic relationships; Rational for the use of U 9. Ordinary least squares (OLS) method Principle and Estimato 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 & Interpretatio 33. Use of Dummy Variables as Independent Variables : ANOVA & ANCOVA Models & Interpretatio 34. Use of Dummy Variables as Independent Variables : ANOVA & ANCOVA Models & Interpretatio Week - XI 35. Uses of dummy as dependent Variables: Logit Model and Interpretatio 36.Estimation of demand 37.Estimation of production functio 38.Estimation of production functio Week - XII 39. Course Review and Discussions 40. Course Review and Discussions
