Undergraduate Course: Essentials of Econometrics (ECNM10052)
Course Outline
| School | School of Economics |
College | College of Humanities and Social Science |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Credits | 20 |
| Home subject area | Economics |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| 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)
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | Pre-requisite: Economics Honours entry or the permission of the course leader. |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | Visiting students should usually have at least 3 Economics courses at grade B or above (or be predicted to obtain this) for entry to this course. This MUST INCLUDE courses in both Macroeconomics and Microeconomics. We will only consider University/College level courses. |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
|
| Delivery period: 2012/13 Semester 1, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | Appleton Tower, Lecture Theatre 1 | 1-11 | | 16:10 - 18:00 | | | |
| First Class |
First class information not currently available |
| Additional information |
Students are ALSO expected to attend weekly computer lab sessions and tutorials. |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
|
| Main Exam Diet S1 (December) | Essentials of Econometrics | 1:30 | | | | Main Exam Diet S2 (April/May) | | 2:00 | | |
|
| Delivery period: 2012/13 Semester 1, Part-year visiting students only (VV1)
|
Learn enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | See lecture location for main course. | 1-11 | | 16:10 - 18:00 | | | |
| First Class |
First class information not currently available |
| Additional information |
Students are ALSO expected to attend weekly computer lab sessions and tutorials. |
| No Exam Information |
Summary of Intended Learning Outcomes
| After successful completion of this course students will have developed an understanding of the essential techniques of econometrics and an ability to apply these techniques in a variety of contexts. The course emphasises general skills such as: critical analysis and assessment; reasoning adaptably and systematically, problem-framing and problem-solving; and practical skills in data analysis and interpretation. |
Assessment Information
Mini project (20%)
Mid-term MCQ test (10%)
1.5 hour MCQ class exam in December (10%)
2 hour degree exam in April/May (60%)
The degree examination must be passed in order to pass the course, where the degree exam is failed the final mark recorded for the course will be the degree exam mark.
Visiting Student Variant Assessment
Mini project (20%)
Mid-term MCQ test (10%)
1.5 hour MCQ exam in December (10%)
Extended problem set (60%) |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Prof Maia Guell
Tel: (0131 6)50 8351
Email: Maia.Guell@ed.ac.uk |
Course secretary | Ms Eirlys Armstrong
Tel: (0131 6)50 8361
Email: eirlys.armstrong@ed.ac.uk |
|
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