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DRPS : Course Catalogue : School of Economics : Economics

Undergraduate Course: Essentials of Econometrics (ECNM10052)

Course Outline
SchoolSchool of Economics CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryEssentials of Econometrics provides an introduction to econometric theory and practice for advanced undergraduate students who have completed courses in probability and statistics, microeconomics and macroeconomics. EE aims to ensure that all economics honours students have a sound grasp of the basic techniques of modern empirical economics.
Course description Essentials of Econometrics (EE) provides an opportunity to learn skills that are important for later stages of the Economics programme, and many future career and life contexts. EE aims to ensure that all economics honours students have a sound grasp of the basic techniques of modern empirical economics.

The topics covered are likely to include: statistics (review of probability distributions, statistical inference, estimation and hypothesis testing); the linear regression model (two-variable model, multiple regression, functional forms, dummy variables); regression analysis in practice (model selection criteria and tests, multicollinearity, heteroskedasticity, autocorrelation).

EE includes weekly lab sessions to reinforce lectures, with exercises which foster 'learning-by-doing'. The course provides an opportunity to develop and practice key practical skills in computing, data gathering, processing, analysis and presentation.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Economics 2 (ECNM08006)
Prohibited Combinations Other requirements Pre-requisite: Economics Honours entry or the permission of the course organiser.
Additional Costs None
Information for Visiting Students
Pre-requisitesVisiting students should usually have an equivalent of at least 4 semester-long Economics courses at grade B or above (or be predicted to obtain this) for entry to this course. This MUST INCLUDE courses in Intermediate Macroeconomics (with calculus); Intermediate Microeconomics (with calculus); and Probability and Statistics. If macroeconomics and microeconomics courses are not calculus-based, then, in addition, Calculus (or Mathematics for Economics) is required.
High Demand Course? Yes
Course Delivery Information
Academic year 2017/18, Available to all students (SV1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 20, Seminar/Tutorial Hours 13.5, Supervised Practical/Workshop/Studio Hours 13.5, Summative Assessment Hours 3.5, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 145 )
Assessment (Further Info) Written Exam 80 %, Coursework 20 %, Practical Exam 0 %
Additional Information (Assessment) Mini project (20%)
Mid-term MCQ test (15%)
2 hour degree exam in December (65%)

The degree examination must be passed in order to pass the course.
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)Essentials of Econometrics2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. A knowledge and understanding of key econometric techniques for the empirical analysis of economic phenomena, along with application of these techniques in a variety of contexts.
  2. Research and investigative skills such as problem framing and solving and the ability to assemble and evaluate complex evidence and arguments.
  3. Communication skills in order to critique, create and communicate understanding and to collaborate with and relate to others.
  4. Personal effectiveness through task-management, time-management, teamwork and group interaction, dealing with uncertainty and adapting to new situations, personal and intellectual autonomy through independent learning.
  5. Practical/technical skills such as, modelling skills (abstraction, logic, succinctness), qualitative and quantitative analysis and interpretation of data, programming of statistical packages and general IT literacy.
Reading List
J. H. Stock and M. W. Watson, Introduction to Econometrics, (3rd revised edition) ISBN 9781292071312
Additional Information
Graduate Attributes and Skills See Learning Outcomes
Additional Class Delivery Information Students are ALSO expected to attend weekly tutorials (start in week 2) and computer lab sessions (start in week 2).
Course organiserProf Maia Guell
Tel: (0131 6)50 8351
Course secretaryMs Dawn Everett
Tel: (0131 6)51 5958
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