Essentials of Econometrics (VS1) (U03142)

? Credit Points : 20 ? SCQF Level : 10 ? Acronym : MSE-3-EE-VS-S1

Essentials of Econometrics (EE) provides an opportunity to learn skills that are important for later stages of the Economics programme, and many future career and life contexts. EE aims to ensure that all economics honours students have a sound grasp of the basic techniques of modern empirical economics. The topics covered are likely to include: statistics (review of probability distributions, statistical inference, estimation and hypothesis testing); the linear regression model (two-variable model, multiple regression, functional forms, dummy variables); regression analysis in practice (model selection criteria and tests, multicollinearity, heteroskedasticity, autocorrelation). EE includes weekly lab sessions to reinforce lectures, with exercises which foster 'learning-by-doing'. The course provides an opportunity to develop and practice key practical skills in computing, data gathering, processing, analysis and presentation.

Entry Requirements

? This course is only available to part year visiting students.

? This course is a variant of the following course : U03139

? Prohibited combinations : Analysis of Economic Data Introductory Econometrics

? Costs : None

Subject Areas

Home subject area

Economics, (Management School and Economics, Schedule H)

Delivery Information

? Normal year taken : 3rd year

? Delivery Period : Semester 1 (Blocks 1-2)

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

First Class Information

Date	Start	End	Room	Area	Additional Information
20/09/2007	16:10	17:00	Lecture Theatre 3, Appleton Tower	Central

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	16:10	17:00	Central
Lecture	Thursday	16:10	17:00	Central

? Additional Class Information : Students are ALSO expected to attend eight computer-lab baseds tutorials.

Summary of Intended Learning Outcomes

After successful completion of this course students will have developed an understanding of the essential techniques of econometrics and an ability to apply these techniques in a variety of contexts. The course emphasises general skills such as: critical analysis and assessment; reasoning adaptably and systematically, problem-framing and problem-solving; and practical skills in data analysis and interpretation.