What are the Six Classical Linear Model (CLM) Assumptions? | Five Minute Econometrics | Topic 18
00:00 The First Assumption: Linear in Parameters or Linearity
02:14 The Second Assumption: Random Sampling
02:38 The Third Assumption: No Perfect Collinearity or Full Rank
03:57 The Fourth Assumption: Zero Conditional Mean or Exogeneity of Explanatory Variables
06:08 The Fifth Assumption: Homoscedasticity
06:56 The Sixth Assumption: Normality
【Five Minute Econometrics】(Econometrics Tutorials) Topic 18: What are the Six Classical Linear Model (CLM) Assumptions?
Hi, I am Bob. Welcome back to Five Minute Econometrics, an econometric tutorial on basic econometric concepts and estimation methods. Today, we will explore the six classical assumptions of linear regression models. They are from the textbooks Introductory Econometrics: A Modern Approach, 7th Edition, by Professor Jeffrey Wooldridge and Econometric Analysis, 8th Edition, by Professor William Greene.
#CLM #ClassicalLinearModelAssumptions #Econometrics #Tutorial #FiveMinuteEconometrics #Linear #RandomSampling #NoPerfectCollinearity #FullRank #ZeroConditionalMean #Exogeneity #Homoskedasticity #Normality
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