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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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DRPS : Course Catalogue : School of Economics : Economics

Postgraduate Course: Advanced Microeconometrics (ECNM11048)

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 Credits10 ECTS Credits5
SummaryThis module explores further topics in applied econometrics. Students will be introduced to various tools that are part of the basic econometric training of professional economists. The course is intended for students who want to be professional economists or who want to go on to PhD study, i.e. at aspiring economists rather than aspiring econometricians. The first part of the syllabus is devoted to the Generalised Method of Moments or GMM. GMM was introduced by Hansen (1982) and is now a key tool in the applied economist's toolbox. GMM has a number of other attractive features: it accommodates problems and data structures that show up frequently in econometrics, such as endogeneity and causal effects, heteroskedasticity, autocorrelation, and time series and panel data; it often provides a way of linking priors from economic theory to specific estimation strategies; and it is flexible and extendable, i.e. various apparently complex estimation problems can be written down as simple GMM estimators. Other topics covered in this part of the course include specification testing in the GMM framework and the 'weak identification' problem and weak-identification-robust estimation.

The second part of the syllabus is devoted to selected advanced topics in econometrics. These topics vary from year to year. Past topics have included dynamic panel data models; estimators for heterogeneous treatment effects; differences-in-differences estimators; regression discontinuity design; and exact and propensity-score matching estimators.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Econometrics 1 (ECNM11043) AND Econometrics 2 (ECNM11050)
Co-requisites
Prohibited Combinations Other requirements Students must have taken and passed Econometrics classes similar to ECNM11043 and ECNM11050 AND must email sgpe@ed.ac.uk in advance to request permission.
Information for Visiting Students
Pre-requisitesStudents should be registered for MSc Economics OR MSc Economics (Finance). All other students must email sgpe@ed.ac.uk in advance to request permission.
High Demand Course? Yes
Course Delivery Information
Academic year 2017/18, Available to all students (SV1) Quota:  14
Course Start Block 4 (Sem 2)
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 18, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 78 )
Assessment (Further Info) Written Exam 100 %, Coursework 0 %, Practical Exam 0 %
Additional Information (Assessment) 2-hour final exam (100%)
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Learning Outcomes
This module explores further topics in applied econometrics. Students will be introduced to various tools that are part of the basic econometric training of professional economists. The course is intended for students who want to be professional economists or who want to go on to PhD study, i.e. at aspiring economists rather than aspiring econometricians.
Reading List
Bruce Hansen, Econometrics (2010). Available at no cost for educational or personal use at http://www.ssc.wisc.edu/~bhansen/econometrics/.
Fumio Hayashi, Econometrics (Princeton University Press 2000).
Angrist, Joshua D. and Jörn-Steffen Pischke, Mostly Harmless Econometrics: An Empiricist's Companion (Princeton University Press, 2009).
Wooldridge, Econometric Analysis of Cross Section and Panel Data
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserProf Jonathan Thomas
Tel: (0131 6)50 4515
Email: Jonathan.Thomas@ed.ac.uk
Course secretaryMiss Carole-Anne Marshall
Tel: (0131 6)51 1795
Email: Carole-Anne.Marshall@ed.ac.uk
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