Applied Econometrics

Ian Fraser - The University of Kent

1. Introduction

Lecture 1 - Introduction.mp4

2. Models & Data

Lecture 2 - Data & Models - Part 2.mp4

Lecture 2 - Data & Models - Part 1.mp4

3. Linear Regression Model - OLS Estimator and Estimation

Lecture 3 - Linear Regression Model - Part 3.mp4

Lecture 3 - Linear Regression Model - Part 2.mp4

Lecture 3 - Linear Regression Model - Part 1.mp4

Lecture 3 - Linear Regression Model - Short Piece on TSS with the Cursor.mp4

4. Introduction to Gretl

Lecture 4 - Gretl.mp4

5. Linear Regression Model - Classical Assumptions

Lecture 5 - Classical Assumptions.mp4

6. Statistical Inference in the Linear Model

Lecture 6 - Inference - Part 1.mp4

Lecture 6 - Inference - Part 2.mp4

7. Linear Regression Model - Coefficient of Determination

Lecture 7 - Coefficient of Determination R^2.mp4

8. Multiple Regression and The F-Test

Lecture 8 - Multiple Regression - Part 1.mp4

Lecture 8 - Multiple Regression - Part 2.mp4

Lecture 8 - Multiple Regression - Part 3.mp4

9. Matrix Approach to Linear Regression

Lecture 9 - OLS Matrix - Part 1.mp4

Lecture 9 - OLS Matrix - Part 2.mp4

10. Linear Restrictions and Economic Theory

Lecture 10 - Linear Restrictions - Part 1.mp4

Lecture 10 - Linear Restrictions - Part 2.mp4

Lecture 10 - Linear Restrictions - Part 3.mp4

11. Multicollinearity

Lecture 11 - Multicollinearity - Part 2.mp4

Lecture 11 - Multicollinearity - Part 1.mp4

12. Chow Test

Lecture 12 - Chow Test - Part 1.mp4

Lecture 12 - Chow Test - Part 2.mp4

13. Dummy Variables and Time Trends

Lecture 13 - Dummy Variables - Part 1.mp4

Lecture 13 - Dummy Variables - Part 2.mp4

Lecture 13 - Dummy Variables - Part 3.mp4

14. Elasticities, Functional Form

Lecture 14 - Elasticities - Part 1.mp4

Lecture 14 - Elasticities - Part 2.mp4

15. RESET Test

Lecture 15 - RESET Test .mp4

16. Heteroskedasticity

Lecture 16 - Heteroskedasticity - Part 1.mp4

Lecture 16 - Heteroskedasticity - Part 2.mp4

17. Autocorrelation

Lecture 17 - Autocorrelation - Part 3.mp4

Lecture 17 - Autocorrelation - Part 1.mp4

Lecture 17 - Autocorrelation - Part 2.mp4

18. Pooled Cross-Section/Time-Series and Basic Panel Data Models

Lecture 18 - Pooled Cross Section and Basic Panel - Part 3.mp4

Lecture 18 - Pooled Cross Section and Basic Panel - Part 4.mp4

Lecture 18 - Pooled Cross Section and Basic Panel - Part 2.mp4

Lecture 18 - Pooled Cross Section and Basic Panel - Part 1.mp4

*19. Panel Data I

20. Panel Data II

Lecture 20 - Advanced Panel Data - Part 1.mp4

Lecture 20 - Advanced Panel Data - Part 2.mp4

21. Deleted

22. Qualitative and Limited Dependent Regression Models and Methods

Lecture 22 - Limited Dependent Variables - Part 2.mp4

Lecture 22 - Limited Dependent Variables - Part 5.mp4

Lecture 22 - Limited Dependent Variables - Part 1.mp4

Lecture 22 - Limited Dependent Variables - Part 3.mp4

Lecture 22 - Limited Dependent Variables - Part 4.mp4

23. Simultaneous Equations and Identification

Lecture 23 - Simultaneous Equation Models - Part 1.mp4

Lecture 23 - Simultaneous Equation Models - Part 2.mp4

Lecture 23 - Simultaneous Equation Models - Part 3.mp4

24. 2SLS, Simultaneous Equation Estimation and Instrumental Variables

Lecture 24 - 2SLS & Instrumental Variables - Part 1.mp4

Lecture 24 - 2SLS & Instrumental Variables - Part 2.mp4

25. Time-Series Econometrics I

Lecture 25 - Time-Series Econometrics - Part 1.mp4

Lecture 25 - Time-Series Econometrics - Part 2.mp4

Lecture 25 - Time-Series Econometrics - Part 3.mp4

26. Time-Series Econometrics II

Lecture 26 - Time-Series Econometrics (2) - Part 2.mp4

Lecture 26 - Time Series Econometrics (2) - Part 1.mp4

Lecture 26 - Time-Series Econometrics (2) - Part 3.mp4

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