Undergraduate Course: Applications of Econometrics (ECNM10056)
Course Outline
| School | School of Economics |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This course is an intermediate-level Econometrics course, which extends the coverage of econometric techniques developed in Essentials of Econometrics. Emphasis is placed on applications in a variety of economic contexts. |
| Course description |
Applications of Econometrics (A of E) builds on the techniques developed in Essentials of Econometrics through a variety of economic applications. The course focuses on causal inference, and includes topics such as potential outcomes, treatment effects, differences-in-differences, fixed effects regression, instrumental variables estimation, nonlinear models, and regression discontinuity design.
Students will be able to carry out their own empirical modelling and estimation using economic datasets while developing skills expected of contemporary economics graduates in various contexts.
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Information for Visiting Students
| Pre-requisites | Visiting students must have an equivalent of at least 4 semester-long Economics courses at grade B or above for entry to this course. This MUST INCLUDE courses in Intermediate Macroeconomics (with calculus); Intermediate Microeconomics (with calculus); Probability and Statistics; and Introductory Econometrics (with coverage of time series econometrics, panel data methods and instrumental variables). If macroeconomics and microeconomics courses are not calculus-based, then, in addition, Calculus (or Mathematics for Economics) is required. |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2025/26, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 40,
Seminar/Tutorial Hours 20,
Supervised Practical/Workshop/Studio Hours 20,
Summative Assessment Hours 3,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
113 )
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| Assessment (Further Info) |
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Written exam: 80%, Coursework: 20%
Final mark for visiting students as above. |
| Feedback |
Written feedback will be provided on the project. Verbal guidance and feedback will be available in tutorials, laboratories and helpdesks. |
| Exam Information |
| Exam Diet |
Paper Name |
Minutes |
|
| Main Exam Diet S2 (April/May) | Applications of Econometrics May 2026 | 180 | |
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
Angrist, J. D., & Pischke, J. S. (2009). Mostly harmless econometrics: An empiricist's companion. Princeton university press.
Cunningham, Scott (2021). Causal inference: the mixtape. London: Yale University Press.
Wooldridge, Jeffrey M (2020). Introductory Econometrics: A Modern Approach, 7th edition.
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Additional Information
| Graduate Attributes and Skills |
See Learning Outcomes. |
| Additional Class Delivery Information |
4 hours per week lectures, 2 hours per week tutorials and 2 hours per week lab sessions. |
| Keywords | AofE |
Contacts
| Course organiser | Dr Luis Candelaria
Tel:
Email: lcandela@ed.ac.uk |
Course secretary | Miss Allegra Wallace Von Hirschberg
Tel:
Email: Allegra.Wallace@ed.ac.uk |
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