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Unit information: Foundations of Econometric Theory in 2022/23

Please note: you are viewing unit and programme information for a past academic year. Please see the current academic year for up to date information.

Unit name Foundations of Econometric Theory
Unit code EFIM30050
Credit points 20
Level of study H/6
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Dr. Hubner
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

EFIM20011 Econometrics 1 (Minimum mark of 60%)
AND EITHER
EFIM20036 Econometrics 2 (Minimum mark of 50%) OR
MATH20800 Statistics 2 (Minimum mark of 50%)

Units you must take alongside this one (co-requisite units)

None

Units you may not take alongside this one

None

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

Unit Information

Why is this unit important?

Econometric theory provides the tools to analyse data to answer big questions about the world as a whole. The course is taught in two parts. The first part covers statistical theory essential for econometrics. It focuses on mathematical properties of probability distributions and sample statistics and on key concepts of statistical inference (estimators, tests, p-values, confidence intervals). The second part is concerned with detailed examination of linear regression and with maximum likelihood estimation.

How does this unit fit into your programme of study?

The statistics and econometrics that you have learnt in the first two years of study will provide the foundations for this unit, and you will build upon them with a more rigourous, theoretical examination of the estimators that you use, and begin to develop the toolkit to understand how econometric estimators and techniques are developed. This unit also provides a stepping stone (and is a pre-requisite for) Advanced Econometric Theory.

Your learning on this unit

At the end of this unit, students will be able to:

  1. Demonstrate a good knowledge of fundamental econometric theory
  2. handle theoretical propositions
  3. Rigorously prove the properties of the estimators

How you will learn

Teaching will be delivered through a combination of large and small group classes, supported by online resources

How you will be assessed

Tasks which count towards your unit mark

Exam (2.5 hours) (100%) Assesses all learning outcomes

When assessment does not go to plan

There are normally no reassessment opportunities for final year students. Where this unit is taken as a non-final year unit (e.g. in an MSci), reassessment will be through a 2.5 hour examination.

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EFIM30050).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.

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