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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2021/2022

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

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DRPS : Course Catalogue : School of Economics : Economics

Postgraduate Course: Research Methods in Econometrics (ECNM11081)

Course Outline
SchoolSchool of Economics CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits20 ECTS Credits10
SummaryThis 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.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2021/22, Not available to visiting students (SS1) 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 )
Assessment (Further Info) Written Exam 70 %, Coursework 30 %, Practical Exam 0 %
Additional Information (Assessment) Written Exam 70%
Coursework 30%
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. Identify relevant datasets for the analysis of the economic model and/or hypotheses at hand;
  2. use the data to estimate static and dynamic panel data models;
  3. and test economic hypotheses within these models.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Steven Dieterle
Tel: (0131 6)51 5127
Email: Steven.Dieterle@ed.ac.uk
Course secretaryMs Kalina Charvala
Tel: (0131 6)51 1795
Email: Kalina.Charvala@ed.ac.uk
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