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. |
| Course description |
This course introduces students to cutting-edge econometric techniques and their application on current research questions.
The course begins with a brief introduction to linear algebra to enable students to understand the techniques discussed in subsequent sessions. 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, discrete choice models, count data models, etc. This methodology will be explored in the context of concrete research questions, as they recently appeared in leading economics journals.
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.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
Students MUST have passed:
Applications of Econometrics (ECNM10056)
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | Permission of the Course Organiser is required if the pre-requisite is not met. |
Information for Visiting Students
| Pre-requisites | Applications of Econometrics or Essentials of Econometrics WITH permission of the Course Organiser. |
| High Demand Course? |
Yes |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- A knowledge and understanding of econometric techniques for the empirical analysis of economic phenomena, along with application of these techniques in a variety of contexts.
- Research and investigative skills such as problem framing and solving and the ability to assemble and evaluate complex evidence and arguments.
- Communication skills in order to critique, create and communicate understanding and to collaborate with and relate to others.
- 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.
- 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.
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Reading List
Cameron, A. C. and P. K. Trivedi (2005) Microeconometrics: Methods and Applications
Wooldridge, J. M. 2013. Introductory Econometrics |
Additional Information
| Graduate Attributes and Skills |
See Learning Outcomes |
| Additional Class Delivery Information |
1 x 2hr lecture per week. |
| Keywords | ATinAE |
Contacts
| Course organiser | Dr Aniko Biro
Tel:
Email: aniko.biro@ed.ac.uk |
Course secretary | Ms Dawn Everett
Tel: (0131 6)51 5958
Email: Dawn.Everett@ed.ac.uk |
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