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Regression Diagnostics in STATA
Module 1: Error Term Assumtions
1.1 Introduction to the course
1.2 Zero mean error term
1.3 Normal distributions of residuals
1.4 Homoskedasticity Part I
1.5 Homoskedasticity Part I
1.6 Independence
Module 2: Model Specification Assumptions
2.1 Multicollinearity
2.2 Linearity
2.3 Omitted variable
Module 3: Influential Observations
Outliers I – Cook’s distance
Outliers II – DFBETA
Outliers III – Leverage
Outliers I – Cook’s distance
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