UNIT 1: Classical Linear Regression Model
Lecture 1: Sampling Techniques
Lecture 2: Sampling
UNIT 1:
Lecture 3 : Introduction to Statistical Inference
(Estimation Theory)
Lecture -4: Testing of Hypothesis
UNIT 1:
Lecture -5: Hypothesis-Large Sample test & Chi square test
Lecture- 6 : Hypothesis - small sample tests t Tests and F Tests
UNIT -2 Multiple Regression Model
Lecture – 7 :Preview of Econometric Methods
Lecture – 8 :Linear Regression Model
Lecture – 9: Tests for Linear Regression Model
Unit – 2:
Lecture- 10 :Multiple Regression Model and Extensions
Lecture- 11 :Multiple Regression Model
Lecture- 12 :Other functional forms
Unit 3 Functional Forms and Dummy Variables
Lecture- 13 :Dummy variables
Lecture- 14 :Regression Analysis for Qualitative Variables
Lecture- 15 :Regression Analysis for Dummy Dependent Variables
Unit -4 Relaxing the Assumptions
Lecture- 16 :Prediction in Linear Models and Multicollinearity
Lecture- 17 :Generalised Least Squares
UNIT 4:
Lecture- 18 :Autocorrelation
Lecture- 19 :Specification Errors
UNIT 4:
Lecture- 20 :Autoregressive and Distributed Lag Models
Lecture- 21 :Simultaneous Equations Model
UNIT 4:
Lecture- 22 :Time Series Models
Lecture- 23 :Panel data analysis
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