Undergraduate Course: Applications of Econometrics (ECNM10056)
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 |
The course extends the coverage of econometric techniques developed in Essentials of Econometrics and illustrates techniques with applications in a variety of economic contexts. Techniques covered are likely to include: nonlinear regression models; qualitative response models; panel data regression models; dynamic econometric models; simultaneous equation models; time series econometric models. Possible applications include: production functions; home ownership; auditing fees; hyperinflation; dairy prices; demand for money; macroeconomic time series; and purchasing power parity. Students will be expected to carry out their own modelling and estimation, developing skills frequently expected of contemporary economics graduates in a wide variety of contexts. Exercise sheets and computer laboratory usage are integrated with the lecture material, and play a very important part in the learning process. The course culminates in an assessed project, in which, given a range of topics and appropriate databases, students are required to undertake their own modelling, estimation, evaluation and reporting. |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
It is RECOMMENDED that students also take
Essentials of Econometrics (ECNM10052)
|
| Prohibited Combinations |
|
Other requirements |
If co-requisite is not met, permission of the course leader is required.
|
| 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: 2010/11 Semester 2, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | 1hr Lecture, 1hr Lab | 1-11 | | | | | 14:00 - 15:50 | | Central | Lecture | | 1-11 | | | | 14:00 - 15:50 | |
| First Class |
Week 1, Thursday, 14:00 - 15:50, Zone: Central. Appleton Tower Lecture Theatre 1 |
| Additional information |
3 hours per week of lectures and 1 hour per week lab session |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
Stationery Requirements |
Comments |
| Main Exam Diet S2 (April/May) | | 2:00 | 3 x 8 sides | |
Summary of Intended Learning Outcomes
| After successful completion of this course students will have developed their skills of critical analysis and assessment of empirical economics results, how to diagnose and address estimation problems and to carry out independent empirical investigations. |
Assessment Information
| A 2 hour degree examination in April/May (60%), a project (30%) and a 1.5hr class exam in Week 8 (10%). 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. |
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 |
Dr Dimitra Politi
Tel: (0131 6)50 4060
Email: Dimitra.Politi@ed.ac.uk |
Course secretary |
Ms Dawn Mcmanus
Tel: (0131 6)50 8361
Email: Dawn.McManus@ed.ac.uk |
|
copyright 2011 The University of Edinburgh -
31 January 2011 7:34 am
|
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