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DRPS : Course Catalogue : School of Economics : Economics

Postgraduate Course: Research Methods and Models in Econometrics (ECNM11092)

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 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 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
Not being delivered
Learning Outcomes
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.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserProf Andy Snell
Tel: (0131 6)50 3848
Email:
Course secretaryMs Kalina Charvala
Tel: (0131 6)51 1795
Email:
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