6 Multiple Variable Regression Concepts and Omitted Variable BiasApril 22nd, 2012 BY nishant (0 comments)
This post starts the new chapter in our econometrics course. From now on, we move to regression of several variables, instead of just one variable. Once again we derive OLS estimates or normal equations in a multiple variable model ( precisely, 3 variable model).
Then, we pick up hypothesis testing in multiple linear regression model. How to test several coefficients jointly? How to test linear combination of coefficients?
Last video, explains, yet another very important concept : omitted variable bias. What happens, if you remove one very important variable from the regression model? How does that affect OLS estimates, are they still unbiased?
Normal equations 3 variable regression model
Introduction to Joint Hypothesis Testing
Testing several coeffecients jointly Example 1
Testing several coeffecients jointly Example 2
Omission of an important variable