Unit information: Econometrics 2 for Economics and Finance in 2028/29

Please note: Programme and unit information may change as the relevant academic field develops. We may also make changes to the structure of programmes and assessments to improve the student experience.

Unit name Econometrics 2 for Economics and Finance
Unit code ECON20006
Credit points 20
Level of study I/5
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Mr. Monardo
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

ECON20004 Econometrics 1 for Economics and Finance

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?
Economics, as a social science, relies on analysis of observed data to test and improve theoretical models, with econometrics providing the tool to build causal relationships between economic variables.

How does this unit fit into your programme of study?
This unit builds upon the methods introduced in Econometrics 1, and adds to your understanding of modern econometrics. The techniques developed within this unit will be essential for students completing applied projects in the Applied Economics Dissertation, and an understanding of the methods used will be important to engage with empirical literature in applied, final-year units.

Your learning on this unit

Overview of content

In this unit, you will build upon the material covered in Econometrics 1, with a shift in focus towards applying econometrics to problems in economics and finance.

In the unit, you will further develop topics such as:

  • Regression analysis with cross-sectional data (Revision)
  • Regression analysis with time series data
  • Heteroskedasticity
  • Limited dependent variable models
  • Regression analysis with panel data

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

Students will further develop their understanding of econometrics, focussed both towards interpreting published empirical research, and as a core building block towards carrying out their own research, through the dissertation.

Learning Outcomes

Students will be able to:

  1. solve algebraic models to obtain properties of statistical estimators
  2. perform and interpret econometric analysis using a statistical software package
  3. explain the meaning of econometric results and provide an economic interpretation

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 help you learn and prepare you for summative tasks (formative):

  • Mock exam in class to prepare for summative exam

Tasks which count towards your unit mark (summative):

  • Examination (2 hours) (100%) (Assesses all ILOs)

When assessment does not go to plan

If students fail the unit such that credit points cannot be awarded at the first attempt, they will normally be provided reassessment in the failed element.

The reassessment task will be:

  • Examination (2 hours) (100%) (Assesses all ILOs)

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. ECON20006).

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 assessment methods listed in this unit specification are designed to enable students to demonstrate the named learning outcomes (LOs). Where a disability prevents a student from undertaking a specific method of assessment, schools will make reasonable adjustments to support a student to demonstrate the LO by an alternative method or with additional resources.

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.