1 Econometrics 1 Lecture 7 Multicollinearity
2 What is multicollinearity
3 OLS Estimates in a Multiple Regression Model
4 Mutlicollinearity
5 Multicollinearity: A Numerical Example
6 Mutlicollinearity: In Matrix Notation
7 Mutlicollinearity: Cramer’s Rule for Estimation OLS Parameters
8 Breakdown of OLS Estimation In Case of Multicollinearity in Matrix
9 General Formula for the OLS Parameters in Matrix Notation
10 Variance in Algebra and in Matrix Notation
11 Variance in Algebra and in Matrix Notation
12 Consequences of Multicollinearity
13 Detection of Multicollinearity
14 Remedial Measures
15 Remedial Measure
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17 Likelihood and Log-Likelihood Functions Parameter Set, Value of Likelihood function
18 Similarity Between the OLS and Maximum Likelihood Estimators
19 Large Sample Tests