To give students the opportunity to deepen and consolidate previous knowledge by applying the basic ideas of economics to the study of a particular question that interests them. In answering their research question students will be expected to use a combination of economics techniques and statistical tools. The project will often be of a statistical nature but for students whose interest lies elsewhere, for example economic history, this is not obligatory and the students will be guided in techniques that can be used to answer their question. Students are expected to attend methodological lectures and student led seminars to improve their research techniques. Students will be supervised by a member of academic staff who will support student research towards an independent project.
Principal Learning Outcomes
By the end of the module the student should be able to understand how economists approach questions, in particular, how they construct hypotheses and use data to discriminate between alternate explanations for events or patterns; describe data and present it in a meaningful manner. In doing this students will gain skills in the use of computer software including statistical and/or mathematical modelling software; conduct individual research and investigate topics under their own initiative; present their research to an audience; present their research conclusions in a written form.
The module will typically cover the following topics: research methods; use of software; techniques of applied economic analysis; extracting and using data from CD-ROMs and the Internet; and accessing data at the Data Archive.
- Pre or Co-requisites
- EC204 or EC201 + EC202, and either EC203 or (EC220/EC221) or EC226
- Not available to non-final year students on Economics-based degrees.
- Part-year Availability for Visiting Students
- Not available on a part-year basis
- Assessment Method
- Coursework (100%)
- Coursework Details
- Assignment 1 (Literature Review and Project outline) (8%) Two class presentations (worth 6% each) Assignment 2 (Project) (80%)
- Exam Timing
Previous exam papers can be found in the University’s past papers archive. Please note that previous exam papers may not have operated under the same exam rubric or assessment weightings as those for the current academic year. The content of past papers may also be different.