Quantitative Economics Project
This information is for the 2017/18 session.
Dr Matthew Levy 32L3.21
This course is compulsory on the BSc in Econometrics and Mathematical Economics. This course is not available as an outside option nor to General Course students.
Students must have completed Principles of Econometrics (EC221) or exceptionally Introduction to Econometrics (EC220).
This course provides an opportunity to learn how to do independent quantitative economic research at an advanced level. Students are expected to pursue research on a question of their own choice under the supervision of a member of staff. They are expected to formulate an initial proposal near the start of MT in order to be matched with a supervisor, refining their choice into a manageable research question during that term. Following independent work during MT, a seminar in week 9 will review student progress. In the LT seminars, each student will present a preliminary outline of the results for comments by fellow students and teachers, and later a follow-up presentation on further, more final results and a draft dissertation. Seminars in LT are formally timetabled as classes.
4 hours of seminars in the MT. 20 hours of seminars in the LT.
In week 11 of the MT and the LT students will work independently (with supervisory advice).
Students are required to prepare material for their presentations in the seminar, but this is not formally graded. Students are additionally expected to participate in discussion on the presentations of other students’ as this is part of the training of a research economist, but this is also not formally assessed.
As each student chooses an individual research question, there is no common reading list for this course.
Dissertation (100%, 10000 words) in the LT.
A completed dissertation (up to 10,000 words, not including abstract, footnotes, bibliography and tables) on an approved subject will be required to be submitted by 25 April 2018. There is no written examination. The dissertation carries all the marks.
Total students 2016/17: 4
Average class size 2016/17: 6
Capped 2016/17: No
Value: One Unit
- Application of information skills