Econometric Methods

The details
Colchester Campus
Undergraduate: Level 6
Thursday 03 October 2024
Friday 13 December 2024
20 February 2024


Requisites for this module



Key module for


Module description

This course covers a range of methods used in the modern application of econometric techniques to economic and financial data. Following a review of linear regression methods, students are introduced to maximum likelihood estimation and instrumental variable methods, before proceeding to a more in-depth treatment of certain classes of models that arise in economics and finance to deal with particular types of data.

These include: limited dependent variables; univariate and multivariate time series (stationary and nonstationary); and panel data. Issues of model specification, estimation and hypothesis testing will be stressed throughout. The course is designed to enable students to practise the relevant methods, rather than to derive estimators or tests, or to prove the theorems upon which these are based.

Module aims

The aims of this module are:

  • To teach students advanced undergraduate-level econometric methods. Those methods are highly sophisticated compared to prerequisite modules such as EC252.

  • To provide necessary background to students who wish to write a final year dissertation by using quantitative methods.

  • To benefit students with the motivation of pursuing graduate programs in Economics, Finance and/or Data Science or consultation-type job applications.

Module learning outcomes

By the end of this module, students will be expected to be able to:

  1. Demonstrate their knowledge of modern econometric methods.

  2. Analyse economic data using the appropriate techniques.

  3. In completing the course test, demonstrate their problem-solving analytical and deductive skills.

Employability skills

Employability skills include:

  1. Academic skills: Literacy, numeracy, problem-solving and ICT skills.

  2. Professional working skills: adaptability; flexibility, decision-making.

  3. External awareness: economic and business environment and policy.

  4. Personal development planning: Time management, self management, reflection and evaluation.

Module information

No additional information available.

Learning and teaching methods

The module will be delivered via:

  • Two 1-hour lectures per week, weeks 2-11.
  • One (optional) lab per week, weeks 3-11.


This module does not appear to have a published bibliography for this year.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Coursework   EC352 Mid-Term In Person test      
Exam  Main exam: In-Person, Open Book, 120 minutes during Summer (Main Period) 
Exam  Reassessment Main exam: In-Person, Open Book, 120 minutes during September (Reassessment Period) 

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

Coursework Exam
50% 50%


Coursework Exam
0% 100%
Module supervisor and teaching staff
Dr Neslihan Sakarya, email:
Lectures: Dr Neslihan Sakarya / Laboratories: Mr Mohsen Eshraghi
For further information, send an email message to



External examiner

Dr Georgios Chrysanthou
University of Dundee
Lecturer in Economics (Teaching and Research)
Available via Moodle
Of 14 hours, 14 (100%) hours available to students:
0 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.


Further information

* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.

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