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Unit information: Advanced Econometric Methods in 2023/24

Unit name Advanced Econometric Methods
Unit code ECON30015
Credit points 20
Level of study H/6
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Sokullu
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

Students, for whom this unit is an optional unit:

EFIM20011 Econometrics 1 (minimum mark of 60%) AND

EFIM20036 Econometrics 2 (minimum mark of 60%) OR

MATH20800 Statistics 2 (minimum mark of 60%) OR

MATH20014 Mathematical Programming (minimum mark of 60%)

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?

Econometrics is a systematic approach permitting to create knowledge that is relevant to economic analysis from data. It combines and, if necessary, it extends, existing statistical techniques and economic theory. Econometrics is nowadays a solid body of theory and, of equal importance, a host of applications with specific questions demanding advanced methods beyond regressions. These advanced methods can only be appreciated, understood, and successfully applied in new contexts by use and, simultaneously, by mastering its theoretical foundations.

How does this unit fit into your programme of study?

This unit introduces advanced econometrics methods, and it exposes the theoretical foundations of these methods by building on the elementary and intermediate quantitative methods from the first and second year.

Your learning on this unit

An overview of content

This unit introduces advanced econometric methods, and their theoretical foundations, as tools for empirical economic analysis in a manner that is rigorous. It unites economics with statistics and extends intermediate statistical methods to apply to economic problems and economic data.

How will students, personally, be different as a result of the unit

You will be able to recognize, justify, and create advanced econometric methods as a mean for the systematic analysis of economics facts.

Learning outcomes

At the end of this unit, students should:

  1. Recognize the elements of statistical estimation and statistical testing problems that are relevant to economic analysis.
  2. Create estimators and statistical tests for use in economic analysis employing maximum likelihood, least squares and method-of-moments principles.
  3. Justify the need, choice and use of specific estimators and statistical tests using theorems, and their proofs, from asymptotic theory.

How you will learn

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

Tasks which help you learn and prepare you for summative tasks (formative)

Weekly formative assignments. At least three will be returned with feedback.

How you will be assessed

Tasks which count towards your unit mark (summative):

Written exam (2 hours). Evaluates 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, reassessment will be through a 2 hours 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. ECON30015).

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 University 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. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates within the Regulations and Code of Practice for Taught Programmes.

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