Applications of Econometrics (U03256)

? Credit Points : 20 ? SCQF Level : 10 ? Acronym : MSE-3-AofE

The course extends the coverage of econometric techniques developed in Essentials of Econometrics and illustrates techniques with applications in a variety of economic contexts. Techniques covered are likely to include: nonlinear regression models; qualitative response models; panel data regression models; dynamic econometric models; simultaneous equation models; time series econometric models. Possible applications include: production functions; home ownership; auditing fees; hyperinflation; dairy prices; demand for money; macroeconomic time series; and purchasing power parity. Students will be expected to carry out their own modelling and estimation, developing skills frequently expected of contemporary economics graduates in a wide variety of contexts. Exercise sheets and computer laboratory usage are integrated with the lecture material, and play a very important part in the learning process. The course culminates in an assessed project, in which, given a range of topics and appropriate databases, students are required to undertake their own modelling, estimation, evaluation and reporting.

Entry Requirements

? Pre-requisites : Essentials of Econometrics or permission of course organiser

? Prohibited combinations : Introductory Econometrics

Subject Areas

Home subject area

Economics, (Management School and Economics, Schedule H)

Delivery Information

? Normal year taken : 3rd year

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 3 hour(s) per week for 10 weeks

? Other Required Attendance : 1 hour(s) per week for 4 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
08/01/2008	14:00	14:50	Room G.02, William Robertson Building	Central

All of the following classes

Type	Day	Start	End	Area
Lecture	Tuesday	14:00	14:50	Central
Lecture	Thursday	14:00	14:50	Central
Lecture	Friday	14:00	14:50	Central

? Additional Class Information : Students are also expected to attend 6 computer lab-based tutorials.

Summary of Intended Learning Outcomes

After successful completion of this course students will have developed their skills of critical analysis and assessment of empirical economics results, how to diagnose and address estimation problems and to carry out independent empirical investigations.

Assessment Information

A 2 hour degree examination in April/May (75%), and a project (25%). The degree examination must be passed in order to pass the course, where the degree exam is failed the final mark recorded for the course will be the degree exam mark.