Media Storage Type : DVD-ROM
NPTEL Course Name : Econometric Theory
NPTEL Subject Matter Expert : Prof. Shalabh
NPTEL Co-ordinating Institute : IIT Kanpur
NPTEL Lecture Count : 47
Lecture Titles:
Main
Lecture 1 - Introduction to Econometrics
Lecture 2 - Introduction to Econometrics
Lecture 3 - Simple linear regression analysis
Lecture 4 - Simple linear regression analysis
Lecture 5 - Simple linear regression analysis
Lecture 6 - Simple linear regression analysis
Lecture 7 - Simple linear regression analysis
Lecture 8 - Simple linear regression analysis
Lecture 9 - Multiple linear regression analysis
Lecture 10 - Multiple linear regression analysis
Lecture 11 - Multiple linear regression analysis
Lecture 12 - Multiple linear regression analysis
Lecture 13 - Multiple linear regression analysis
Lecture 14 - Multiple linear regression analysis
Lecture 15 - Multiple linear regression analysis
Lecture 16 - Predictions in linear regression model
Lecture 17 - Predictions in linear regression model
Lecture 18 - Generalized and weighted least squares estimation
Lecture 19 - Regression analysis under linear restrictions
Lecture 20 - Regression analysis under linear restrictions
Lecture 21 - Multicollinearity
Lecture 22 - Multicollinearity
Lecture 23 - Multicollinearity
Lecture 24 - Multicollinearity
Lecture 25 - Heteroskedasticity
Lecture 26 - Heteroskedasticity
Lecture 27 - Autocorrelation
Lecture 28 - Autocorrelation
Lecture 29 - Autocorrelation
Lecture 30 - Dummy variables models
Lecture 31 - Specification error analysis
Lecture 32 - Tests for structural change and stability
Lecture 33 - Asymptotic theory and stochastic regressors
Lecture 34 - Asymptotic theory and stochastic regressors
Lecture 35 - Stein-rule estimation
Lecture 36 - Instrumental variable estimation
Lecture 37 - Measurement error models
Lecture 38 - Measurement error models
Lecture 39 - Measurement error models
Lecture 40 - Simultaneous equations models
Lecture 41 - Simultaneous equations models
Lecture 42 - Simultaneous equations models
Lecture 43 - Simultaneous equations models
Lecture 44 - Seemingly unrelated regression equations models
Lecture 45 - Exercises
Lecture 46 - Bibliography