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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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DRPS : Course Catalogue : School of Economics : Economics

Postgraduate Course: Econometrics 1 (ECNM11043)

Course Outline
SchoolSchool of Economics CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryTogether with Econometrics 2, this module provides a thorough training in basic econometric methods to enable you to critically assess applied work as well as to undertake your own using appropriate econometric techniques. You will acquire the background required for research at the PhD level or in employment as a professional applied economist.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Mathematics, Statistics and Econometrics (ECNM11002)
Co-requisites
Prohibited Combinations Other requirements Must be registered for MSc Economics (PTMSCECNSG1F/P) & MSc Economics (Finance)(PTMSCECNF12F/3P) or by special permission of the Programme Director. Email sgpe@ed.ac.uk to enquire.
Information for Visiting Students
Pre-requisitesBy special permission of the Programme Director only. Email sgpe@ed.ac.uk to enquire.
High Demand Course? Yes
Course Delivery Information
Academic year 2017/18, Available to all students (SV1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 36, Seminar/Tutorial Hours 15, Supervised Practical/Workshop/Studio Hours 18, External Visit Hours 12, Feedback/Feedforward Hours 14, Formative Assessment Hours 3, Summative Assessment Hours 3, Revision Session Hours 5, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 90 )
Assessment (Further Info) Written Exam 100 %, Coursework 0 %, Practical Exam 0 %
Additional Information (Assessment) 25% Class exam
75% Final exam
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)3:00
Learning Outcomes
You will be able to critically assess applied work as well as to undertake your own using appropriate econometric techniques. You will acquire the background required for research at the PhD level or in employment as a professional applied economist.
Reading List
Hayashi, Econometrics, Princeton University Press.
Verbeek, A Guide to Modern Econometrics, 4th ed., John Wiley & Sons
Additional Information
Graduate Attributes and Skills Not entered
Additional Class Delivery Information This module consists of approximately 38 hours of lectures which are supported by approximately weekly lab/tutorial sessions (2 hours per week) and a help-desk.

Part A (Robin Alpine) 3 weeks An introduction to classical econometrics
In this part we will cover the fundamentals of the general linear model: OLS; Gauss-Markov Theorem; inference; dummy variables; and other techniques.
Part B (Mark Schaffer) 6 weeks Core econometrics
The motivating framework for much of the second part of the course is GMM (the Generalized Method of Moments). Topics covered will include: OLS, IV and other GMM estimators; large sample theory; GLS; maximum likelihood (ML); robust covariance estimation; system estimation; basic panel data.
KeywordsNot entered
Contacts
Course organiserProf Mark Schaffer
Tel:
Email: v1mschaf@exseed.ed.ac.uk
Course secretaryMiss Carole-Anne Marshall
Tel: (0131 6)51 1795
Email: Carole-Anne.Marshall@ed.ac.uk
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