5009ECN Econometrics & Data Analysis Time Constrained Assessment Brief 2025/26

5009ECN Assignment Task

This is an individual time-constrained test (60 minutes). This assessment will be sat on 22nd October 2025 ,Wednesday( 3pm-4pm ) 

On the test day,

• We will release the assessment brief (the test questions in a PDF document) and the relevant data set (via an Excel data file) on Aula Your Assessment Section.
• You will be required to analyse the data provided using the statistical software Gretl to solve relevant questions in the assessment brief.
• All answers, including all the tables and regression outputs created in Gretl, must be inserted into a Word file under the relevant sections.
• No Screenshots allowed. You must use the equation editor to present the equations.
• The Word document should be submitted through the relevant submission link on the module Aula page under the Assignments section.
• The assessment will be marked out of 100.

5009ECN Submission Instructions:

All answers must be submitted in a Word document submitted through the relevant submission link on the module Aula page under the Assignments section.

All tables and regression outputs created in Gretl must be inserted into the submitted Word file under the relevant sections.

Duration of the test: 60 minutes

Maximum Mark: 100%

Pass Mark: 40%

Number of Attempts: 1

Assignment Release Date and Time: 22nd October 2025, 3 pm

Assignment Closing Date and Time:22ndOctober 2025, 4 pm

Assignment Release Platform: the module Aula page

If you fail this assignment, you may retake this assessment during the next assessment period.

Development of Skills and Attributes:

• Agile Thinkers

Students will be introduced to datasets which include real economics and financial data from the current economic and finance context, allowing students to develop and demonstrate their critical thinking, problem-solving solving and analytical skills in analysing and making decisions on real-life situations/applications.

5009ECN Marking and Feedback

How will my assignment be marked?

Your assignment will be marked by the module team.

How will I receive my grades and feedback?

Provisional marks will be released once internally moderated.

Feedback will be provided by the module team alongside the grades release. Your feedback can be accessed on the related rubric/comments section on the document you submitted through the module Aula page – Assignments section.

Your provisional marks and feedback should be available within 3 weeks (15 working days).

What will I be Marked Against?

The questions will be weighted differently depending on their level of difficulty. You will have to answer all the questions appropriate to the marking allocation. The total marks for the assessment will be out of 100 marks.

All work submitted after the submission deadline without a valid and approved reason (see below) will be given a mark of zero.

5009ECN Assessed Module Learning Outcomes

The Learning Outcomes for this module align with the marking criteria, which can be found at the end of this brief. Ensure you understand the marking criteria to ensure achievement of the assessment task. The following module learning outcomes are assessed in this task:

1. Evaluate and utilise econometric techniques - both when the Classical Linear Regression Model assumptions are satisfied and when they are not.
2. Apply appropriate econometric techniques to address problems in economics and finance and be able to develop parsimonious models using a systematic modelling strategy.
3. Analyse different types of data using statistical/econometric software.

5009ECN Assignment Support and Academic Integrity

If you have any questions about this assignment, please see the Student Guidance on Coursework for more information.

Spelling, Punctuation, and Grammar:

You are expected to use effective, accurate, and appropriate language within this assessment task.

Academic Integrity:

The work you submit must be your own, or in the case of groupwork, that of your group. All sources of information need to be acknowledged and attributed; therefore, you must provide references for all sources of information and acknowledge any tools used in the production of your work, including
 
Artificial Intelligence (AI). We use detection software and make routine checks for evidence of academic misconduct.

Definitions of academic misconduct, including plagiarism, self-plagiarism, and collusion, can be found on the Student Portal. All cases of suspected academic misconduct are referred for investigation, the outcomes of which can have profound consequences for your studies. For more information on academic integrity, please visit the Academic and Research Integrity section of the Student Portal.

Support for Students with Disabilities or Additional Needs:

If you have a disability, long-term health condition, specific learning difference, mental health diagnosis or symptoms, and have discussed your support needs with health and wellbeing, you may be able to access support that will help with your studies.

If you feel you may benefit from additional support, but have not disclosed a disability to the University, or have disclosed but have yet to discuss your support needs, it is important to let us know so we can provide the right support for your circumstances. Visit the Student Portal to find out more.

Unable to Submit on Time?

The University wants you to do your best. However, we know that sometimes events happen which mean that you cannot submit your assessment by the deadline or sit a scheduled exam. If you think this might be the case, guidance on understanding what counts as an extenuating circumstance and how to apply is available on the Student Portal.

5009ECN Assessment Marking Criteria

Detailed marking criteria can be found at the bottom of the assessment brief released on the test date.