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Unit information: Applied Econometrics (QM4) in 2015/16

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Unit name Applied Econometrics (QM4)
Unit code EFIM30006
Credit points 20
Level of study H/6
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Mr. Winter
Open unit status Not open

ECON20020 Econometrics (QM3)



School/department School of Economics
Faculty Faculty of Social Sciences and Law

Description including Unit Aims

Builds on material covered in second year Econometrics units. Some new techniques will be covered, but the emphasis will shift towards applying Econometrics to problems in Economics. After revisiting Generalised Least Squares, the lectures will cover estimation and hypothesis testing in panel data models. The lectures go on to introduce time series models and the problems posed by non-stationary data. It will provide an introduction to many of the applied techniques which are used in modern macroeconomics. In the last four weeks of the Autumn term, the lectures will cover models of binary choice and models with limited dependent variables. These techniques are often used in estimating models from cross-section samples.

You will find that understanding these techniques and being able to use them are essential in successfully completing the applied projects in QM7.

Intended Learning Outcomes

  • Students will be able to solve algebraic models to obtain properties of statistical estimators;
  • Students will be able to explain the meaning of econometric results and provide an economic interpretation.

Teaching Information

18 hours lectures, 9 hours exercise lectures, 9 hours of tutorials

Assessment Information

  • Formative assessment consists of completing an exercise for each tutorial
  • Summative assessment is a 2 hour exam which will assess all intended learning outcomes

Reading and References

  • G.S. Maddala Introduction to Econometrics, Macmillan, New York.
  • M.P. Murray Econometrics: A Modern Introduction Pearson International.
  • J.M. Wooldridge Introductory Econometrics; a Modern Approach Thomson.