A full course in econometrics by Ben Lambert (Undergraduate level)

by The Foundation

Videos
Undergraduate econometrics syllabus 6:54
Undergraduate econometrics syllabus The Foundation
Econometrics vs hard science 7:10
Econometrics vs hard science The Foundation
What is econometrics? 7:45
What is econometrics? The Foundation
Natural experiments in econometrics 5:25
Natural experiments in econometrics The Foundation
Populations and samples in econometrics 5:48
Populations and samples in econometrics The Foundation
Estimators - the basics 3:03
Estimators - the basics The Foundation
Estimator properties 5:21
Estimator properties The Foundation
Unbiasedness and consistency 5:56
Unbiasedness and consistency The Foundation
Unbiasedness vs consistency of estimators - an example 4:08
Unbiasedness vs consistency of estimators - an example The Foundation
Efficiency of estimators 2:47
Efficiency of estimators The Foundation
Good estimator properties summary 2:12
Good estimator properties summary The Foundation
Lines of best fit in econometrics 6:31
Lines of best fit in econometrics The Foundation
The mathematics behind drawing a line of best fit 5:25
The mathematics behind drawing a line of best fit The Foundation
Least Squares Estimators as BLUE 7:18
Least Squares Estimators as BLUE The Foundation
Deriving Least Squares Estimators - part 1 5:01
Deriving Least Squares Estimators - part 1 The Foundation
Deriving Least Squares Estimators - part 2 6:06
Deriving Least Squares Estimators - part 2 The Foundation
Deriving Least Squares Estimators - part 3 4:15
Deriving Least Squares Estimators - part 3 The Foundation
Deriving Least Squares Estimators - part 4 3:15
Deriving Least Squares Estimators - part 4 The Foundation
Least Squares Estimators - in summary 4:51
Least Squares Estimators - in summary The Foundation
Deriving Least Squares Estimators - part 5 4:12
Deriving Least Squares Estimators - part 5 The Foundation
Taking expectations of a random variable 7:27
Taking expectations of a random variable The Foundation
Moments of a random variable 3:51
Moments of a random variable The Foundation
Central moments of a random variable 4:16
Central moments of a random variable The Foundation
Kurtosis 5:20
Kurtosis The Foundation
Skewness 4:56
Skewness The Foundation
Expectations and Variance properties 5:18
Expectations and Variance properties The Foundation
Covariance and correlation 5:55
Covariance and correlation The Foundation
Population vs sample quantities 2:24
Population vs sample quantities The Foundation
The Population Regression Function 6:43
The Population Regression Function The Foundation
Problem set 1 - estimators introduction 2:47
Problem set 1 - estimators introduction The Foundation
Gauss-Markov assumptions part 1 5:21
Gauss-Markov assumptions part 1 The Foundation
Gauss-Markov assumptions part 2 4:39
Gauss-Markov assumptions part 2 The Foundation
Zero conditional mean of errors - Gauss-Markov assumption 2:56
Zero conditional mean of errors - Gauss-Markov assumption The Foundation
Omitted variable bias - example 1 4:46
Omitted variable bias - example 1 The Foundation
Omitted variable bias - example 2 5:29
Omitted variable bias - example 2 The Foundation
Omitted variable bias - example 3 3:35
Omitted variable bias - example 3 The Foundation
Omitted variable bias - proof part 1 4:00
Omitted variable bias - proof part 1 The Foundation
Omitted variable bias - proof part 2 6:08
Omitted variable bias - proof part 2 The Foundation
Reverse Causality - part 1 5:23
Reverse Causality - part 1 The Foundation
Reverse Causality - part 2 4:26
Reverse Causality - part 2 The Foundation
Measurement error in independent variable - part 1 5:26
Measurement error in independent variable - part 1 The Foundation
Measurement error in independent variable - part 2 4:07
Measurement error in independent variable - part 2 The Foundation
Functional misspecification 1 5:31
Functional misspecification 1 The Foundation
Functional misspecification 2 6:24
Functional misspecification 2 The Foundation
Linearity in parameters - Gauss-Markov 2:05
Linearity in parameters - Gauss-Markov The Foundation
Random sample summary - Gauss-Markov 3:56
Random sample summary - Gauss-Markov The Foundation
Gauss-Markov - explanation of random sampling and serial correlation 6:04
Gauss-Markov - explanation of random sampling and serial correlation The Foundation

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