Undergraduate: Level 6
Thursday 08 October 2020
Friday 18 December 2020
20 September 2019
Requisites for this module
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.
The aim of this module is to teach students advanced undergraduate level econometric methods. Those methods are highly sophisticated compared to prerequisite modules such as EC252. The module material will provide necessary background to students who wish to write a final year dissertation by using quantitative methods. Also, students with the motivation of pursing for graduate programs or consultation type job applications will highly benefit from the module.
Upon completion of the course, students will be able to demonstrate their knowledge of modern econometric methods and be able to analyse economic data using the appropriate techniques. In completing the course test, students will demonstrate their problem-solving analytical and deductive skills.
Employability skills include: Academic skills: Literacy, numeracy, problem-solving and ICT skills; Professional working skills: adaptability; flexibility, decision-making; External awareness: economic and business environment and policy; Personal development planning: Time management, self management, reflection and evaluation.
No additional information available.
Two 1-hour lectures per week, weeks 2-11. One (optional) lab per week, weeks 3-11.
- Wooldridge, Jeffrey M. (2018) Introductory econometrics: a modern approach, Boston, MA: Cengage.
The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students. Further reading can be obtained from this module's reading list.
Assessment items, weightings and deadlines
|Coursework / exam
||120 minutes during Summer (Main Period) (Main)
Module supervisor and teaching staff
Miss Neslihan Sakarya, email: email@example.com.
Lectures: Neslihan Sakarya / Laboratories: various teachers
For further information, send an email message to firstname.lastname@example.org.
No external examiner information available for this module.
Available via Moodle
Of 55 hours, 37 (67.3%) hours available to students:
18 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.
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