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Lecture Undergraduate econometrics (2/e) - Chapter 4: Properties of the least squares estimators

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In this chapter, students will be able to understand: The least squares estimators as random variables, the sampling properties of the least squares estimators, the Gauss-Markov theorem, the probability distribution of the least squares estimators, estimating the variance of the error term. |

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Lecture Undergraduate econometrics, 2nd edition - Chapter 1: An introduction to econometrics

Lecture Undergraduate econometrics, 2nd edition - Chapter 1: An introduction to econometrics

Lecture Undergraduate econometrics, 2nd edition - Chapter 1: An introduction to econometrics

Lecture Undergraduate econometrics (2/e) - Chapter 1: An introduction to econometrics

Lecture Undergraduate econometrics, 2nd edition - Chapter 2: Some basic probability concepts

Lecture Undergraduate econometrics, 2nd edition - Chapter 3: The simple linear regression model: Specification and estimation

Lecture Undergraduate econometrics, 2nd edition - Chapter 4: Properties of the least squares estimators

Lecture Undergraduate econometrics - Chapter 5: Inference in the simple regression model: Interval estimation, hypothesis testing, and prediction

Lecture Undergraduate econometrics, 2nd edition - Chapter 6: The simple linear regression model

Lecture Undergraduate econometrics, 2nd edition - Chapter 7: The multiple regression model