Undergraduate Course: Advanced Topics in Applied Econometrics (ECNM10063)
Course Outline
School | School of Economics |
College | College of Humanities and Social Science |
Credit level (Normal year taken) | SCQF Level 10 (Year 4 Undergraduate) |
Availability | Available to all students |
SCQF Credits | 20 |
ECTS Credits | 10 |
Summary | This course introduces students to cutting-edge econometric techniques and their application on current research questions. Students will read and discuss papers published in leading economics journals. The objective at the end of the course is for the students to be able to contribute to an intelligent discussion of currently studied empirical topics, such as, for example, insurance markets, the effect of unemployment benefits on workers' incentives, returns to early-age health investment, intergenerational transmission of ability, etc.
There will be one two-hour-long lecture each week, for a total of 10 weeks. Each two-hour lecture will cover a different topic in terms of methodology and/or specific research question. Topics will include advanced methodology and applications, as they appear in leading economics journals. Examples in terms of state-of-the-art methodology include advanced panel data analysis, estimation using instrumental variables, propensity score matching, regression discontinuity, etc. This methodology will be explored in the context of concrete research questions, as they recently appeared in leading economics journals. |
Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
Students MUST have passed:
Applications of Econometrics (ECNM11039)
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
Pre-requisites | Applications of Econometrics or Essentials of Econometrics WITH permission of the Course Organiser. |
Course Delivery Information
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Academic year 2015/16, Available to all students (SV1)
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Quota: None |
Course Start |
Semester 1 |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 20,
Summative Assessment Hours 3,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
173 )
|
Assessment (Further Info) |
Written Exam
70 %,
Coursework
30 %,
Practical Exam
0 %
|
Additional Information (Assessment) |
December (written) class exam (10%)
Project (30%)
Degree exam (60%)
Visiting Students Assessment
December (written) class exam (40%)
Project (30%)
Assessed Problem Set (30%) |
Feedback |
Not entered |
Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
|
Main Exam Diet S1 (December) | | 1:00 | | Main Exam Diet S2 (April/May) | | 2:00 | |
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Academic year 2015/16, Part-year visiting students only (VV1)
|
Quota: None |
Course Start |
Semester 1 |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 20,
Summative Assessment Hours 1,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
175 )
|
Assessment (Further Info) |
Written Exam
40 %,
Coursework
60 %,
Practical Exam
0 %
|
Additional Information (Assessment) |
December (written) class exam (10%)
Project (30%)
Degree exam (60%)
Visiting Students Assessment
December (written) class exam (40%)
Project (30%)
Assessed Problem Set (30%) |
Feedback |
Not entered |
Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
|
Main Exam Diet S1 (December) | | 1:00 | |
Learning Outcomes
After successful completion of this course students will have developed the skills learnt in Applications of Econometrics such as critical analysis and assessment of empirical economics results, how to diagnose and address estimation problems and to carry out independent empirical investigations.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Additional Class Delivery Information |
1 x 2hr lecture per week. |
Keywords | ATinAE |
Contacts
Course organiser | Dr Aniko Biro
Tel:
Email: |
Course secretary | Ms Dawn Hutcheon
Tel: (0131 6)51 5958
Email: |
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© Copyright 2015 The University of Edinburgh - 27 July 2015 11:01 am
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