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Course details
Essentials of Econometrics (ECNM10052)
Subject Area
Economics
Pre-requisites
Visiting students should usually have at least 3 Economics courses at grade B or above (or be predicted to obtain this) for entry to this course.This MUST INCLUDE courses in both Macroeconomics and Microeconomics.We will only consider University/College level courses.
Credits
20
Course level
SCQF Level 10 (Year 3 Undergraduate)
Course description
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.
Timetable
View the timetable and assessment information for this course
Course delivered by
College of Humanities and Social Science
School of Economics
This article was published on Feb 24, 2012