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DRPS : Course Catalogue : School of Economics : Economics

Undergraduate Course: Applications of Econometrics (ECNM10056)

Course Outline
SchoolSchool of Economics CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis 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 is divided into two parts. The first part, taught by Dr Jonas Cederlöf, will cover time series methods, focusing on regressions with trending variables, testing and correcting for serially correlated errors, as well as forecasting. The second part, taught by Dr Andreas Steinhauer, covers techniques for working with panel data, instrumental variables estimation, and limited dependent variable models. Applications include both instructions on how to employ these methods to data that are freely available and examining journal articles which use these methods. Students will have the opportunity to carry out their own empirical modelling and estimation, developing skills expected of contemporary economics graduates in a wide variety of contexts.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Essentials of Econometrics (ECNM10052)
Students MUST have passed: ( Economics 2 (ECNM08006) AND Statistical Methods for Economics (ECNM08016)) OR ( Probability (MATH08066) AND Statistics (Year 2) (MATH08051)) OR Data Analysis for Psychology in R 2 (PSYL08015)
Prohibited Combinations Other requirements Economics Honours entry. If pre-requisite is not met, permission of the course organiser is required.
Information for Visiting Students
Pre-requisitesVisiting 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
Academic year 2023/24, Available to all students (SV1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 28, Seminar/Tutorial Hours 13.5, Supervised Practical/Workshop/Studio Hours 10, Summative Assessment Hours 3.5, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 141 )
Assessment (Further Info) Written Exam 80 %, Coursework 20 %, Practical Exam 0 %
Additional Information (Assessment) Group Project: 20%
Degree Exam: 80%

The degree examination must be passed in order to pass the course.

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 Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. 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.
  2. Research and investigative skills such as problem framing and solving and the ability to assemble and evaluate complex evidence and arguments.
  3. Communication skills in order to critique, create and communicate understanding and to collaborate with and relate to others.
  4. 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.
  5. 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.
Reading List
J. Wooldridge, Introductory Econometrics, 7th edition.
Additional Information
Graduate Attributes and Skills See Learning Outcomes.
Additional Class Delivery Information 2 hours per week of lectures, 1 hour per week tutorials and 1 hour per week lab session.
Course organiserDr Andreas Steinhauer
Tel: (0131 6)51 5945
Course secretaryMiss Becky Guthrie
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