MA Economics

The aims of this course are to:

(i) provide an introduction to econometric methods that will assist students in understanding empirical research in their field;

(ii) enable students to apply these methods in their own research.

The aims of this course are to:

(i) provide an introduction to econometric methods that will assist students in understanding empirical research in their field;

(ii) enable students to apply these methods in their own research.

At the end of the course students should be able to:

(i) demonstrate their understanding of the appropriate econometric methods for analysing data;

(ii) interpret computer output for the estimation and testing of econometric relationships;

(iii) interpret and discuss results of econometric estimation in the economic context.

Lecture 1 and 2: What Econometrics is about and the Simple Regression Model (Chapters 1 and 2)

Lecture 3: The Simple Regression Model: Estimation and Inference (Chapter 2)

Lecture 4: Multiple Regression  I: Estimation (Chapter 4)

Lecture 5: Multiple Regression II: Inference (Chapter 4)

Lecture 6: Asymptotic Inference and Instrumental Variables (Chapter 5 and 15)

Lecture 7: Heteroscedasticity (Chapter 8)

Lecture 8: Categorical variables and Binary response models (Chapter 7 and parts of Chapter 17)

Lecture 9: Introduction to time-series (parts of Chapters 10 and 11)

Lecture 10: Introduction to time-series (parts of Chapters 10 and 11)

The chapter numbers above refer to the main text for this course:

Wooldridge, J.M. (2013) Introductory Econometrics: A Modern Approach, 5th ed., Cengage (If you can get hold of the 4th edition that is absolutely sufficient.)

The lecturer will follow this text closely and it is essential that students buy a copy and use it to support the 

Teaching and learning methods

Assessment methods

Recommended reading

Study hours

Teaching staff

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