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DRPS : Course Catalogue : School of Economics : Economics

Postgraduate Course: Dissertation in Mathematical Economics and Econometrics (ECNM11088)

Course Outline
SchoolSchool of Economics CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate)
Course typeDissertation AvailabilityNot available to visiting students
SCQF Credits50 ECTS Credits25
SummaryThe dissertation is slightly smaller in scope than is standard for the University (50 instead of 60 credits) but has the same similar qualitative features. Students will be expected to choose a research question in economics but specifically one that allows them to demonstrate the mathematical, statistical, numerical and programming skills they have acquired throughout the year. One example of such a research project may be as follows. Take a seminal mathematical model in a leading journal, replicate its results by programming and simulating it. Demonstrate an understanding of the model by interpreting the results of these simulations. Then in later chapters extend the model - e.g. by relaxing one of its assumptions - and via use of the same quantitative techniques as before, show how the extension changes the model's predictions. As an alternative (or supplement depending on time and space) to the extension, further analysis of the model in an empirical dimension may also be undertaken. This may involve the collection and processing of relevant data and the application of relevant econometric techniques.
Course description The dissertation should provide an opportunity to apply core economic concepts and theories to research a topic of the student's choice in depth and provide a summary report on the recent theoretical or empirical advances in the related area including the evaluation of the strengths and weaknesses of the analysed papers. It also allows students to display computational modelling skills, qualitative and quantitative analysis and interpretation of data, knowledge of statistical package and programming languages, etc., all of which increase students' capacity for performing quantitative research in economics.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2023/24, Not available to visiting students (SS1) Quota:  None
Course Start Block 5 (Sem 2) and beyond
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 500 ( Dissertation/Project Supervision Hours 10, Programme Level Learning and Teaching Hours 10, Directed Learning and Independent Learning Hours 480 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Coursework 100%
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. After successful completion of the dissertation, the student will have gained experience in reading, summarising and critically assessing through replication cutting-edge literature on specialised aspects of economics
  2. They will have knowledge and understanding relating to the topics covered and will have developed and demonstrated a wide range of key skills including managing tasks and time; independent action and initiative; critical analysis and assessment.
  3. The student will be able to demonstrate their ability to appropriately use mathematical and econometric techniques to answer an empirical question, and to successfully solve computational problems.
Reading List
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Course organiserDr Tatiana Kornienko
Tel: 0131 650 8338
Course secretaryMs Grace Oliver
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