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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
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DRPS : Course Catalogue : School of Economics : Economics

Undergraduate Course: Advanced Topics in Applied Econometrics (ECNM10063)

Course Outline
SchoolSchool of Economics CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 10 (Year 4 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis 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
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Applications of Econometrics (ECNM11039)
Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesApplications of Econometrics or Essentials of Econometrics WITH permission of the Course Organiser.
Course Delivery Information
Academic year 2014/15, 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, 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
Academic year 2014/15, 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.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
Additional Class Delivery Information 1 x 2hr lecture per week.
KeywordsATinAE
Contacts
Course organiserDr Aniko Biro
Tel:
Email: aniko.biro@ed.ac.uk
Course secretaryMs Dawn Hutcheon
Tel: (0131 6)51 5958
Email: Dawn.Hutcheon@ed.ac.uk
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