Postgraduate Course: Research Methods and Models in Econometrics (ECNM11092)
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 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.
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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
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.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | Not entered |
Contacts
Course organiser | Prof Andy Snell
Tel: (0131 6)50 3848
Email: |
Course secretary | Ms Kalina Charvala
Tel: (0131 6)51 1795
Email: |
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