Postgraduate Course: Research Methods in Econometrics (ECNM11081)
Course Outline
| School | School of Economics |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This module, compulsory for all first year PGR students, is designed to introduce and cover in some depth a range of theoretical issues and techniques so as to broaden student's knowledge of econometrics. The aim is to provide exposure to a wide variety of theoretical models and methods that may be used by graduate research students. Students may not use all of the methods in their own research, and some may not use any of the methods covered, but awareness of the variety of economic research methods is viewed as an essential component of development as a graduate economist. |
| Course description |
This module, compulsory for all PGR students, is designed to introduce and cover in some depth a range of theoretical issues and techniques so as to broaden student's knowledge of econometrics. The aim is to provide exposure to a wide variety of theoretical models and methods that may be used by graduate research students. Students may not use all of the methods in their own research, and some may not use any of the methods covered, but awareness of the variety of economic research methods is viewed as an essential component of development as a graduate economist.
The course is taught through a programme of interactive lectures. Learning-by-doing, through problem solving and discussion is an important ingredient of the course.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2021/22, Not available to visiting students (SS1)
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Quota: 7 |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 20,
Formative Assessment Hours 3,
Summative Assessment Hours 3,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
170 )
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| Assessment (Further Info) |
Written Exam
70 %,
Coursework
30 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Written Exam 70%
Coursework 30% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S2 (April/May) | | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Identify relevant datasets for the analysis of the economic model and/or hypotheses at hand;
- use the data to estimate static and dynamic panel data models;
- and test economic hypotheses within these models.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Steven Dieterle
Tel: (0131 6)51 5127
Email: Steven.Dieterle@ed.ac.uk |
Course secretary | Ms Kalina Charvala
Tel: (0131 6)51 1795
Email: Kalina.Charvala@ed.ac.uk |
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