EC902-45 Quantitative Methods: Econometrics A
Introductory description
EC902-45 Quantitative Methods: Econometrics A
Module aims
The aim of the module is to equip students with the necessary skills required for research, including both the acquisition of habits of thought and knowledge of the techniques of modern mathematics, statistics and econometrics. The module does not aim to go beyond the development of these fundamental professional skills to cover more advanced techniques.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
The syllabus for this module will be based on the following topics; however this list is not limited to those listed below and does not infer all of these topics will be studied in the module.
Introductory Mathematics and Statistics: pre-sessional topics covered will include linear algebra, multivariate calculus and constrained optimisation, differential and difference equations, basic probability theory and hypothesis testing.
Econometrics:
Term 1 will cover Randomized control trials, Identification based on observables (e.g. OLS), Instrumental variables Differences-in-differences, Regression discontinuity design.
Term 2 will cover the econometric modelling of economic and financial time-series data. This will include time series models, modelling univariate time series, unit root processes, multivariate time series, autoregressive conditional heteroskedasticity, and panel data.
Learning outcomes
By the end of the module, students should be able to:
- Subject Knowledge and Understanding: demonstrate an understanding of fundamental concepts in mathematics and statistics relevant to the other core modules and be able to apply these concepts to economics.
- Subject Knowledge and Understanding: demonstrate a deep understanding of material needed for empirical quantitative analysis.
- Subject Knowledge and Understanding: demonstrate a full knowledge of the theory and practice of modern econometrics, particularly applied econometrics.
- Subject Specific and Professional Skills: demonstrate the development of the habit of thought, knowledge and understanding to be able to carry out good quality applied econometric research with confidence and authority.
- Cognitive Skills: develop the critical insight to appraise econometric results obtained by other researchers.
Indicative reading list
Please see Talis Aspire link for most up to date list.
View reading list on Talis Aspire
Subject specific skills
Students will have the opportunity to develop skills in:
Analytical thinking and communication
Analytical reasoning
Critical thinking
Creative thinking
Problem-solving
Abstraction
Policy evaluation
Analysis of incentives
Concepts of Simultaneity and Endogeneity
Analysis of optimisation
Understanding of Uncertainty and Incomplete Information
Transferable skills
Students will have the opportunity to develop:
Research skills
Numeracy and quantitative skills
Data-based skills
IT skills
Written communication skills
Oral communication skills
Team work skills
Mathematical, statistical and data-based research skills
Study time
| Type | Required |
|---|---|
| Lectures | 60 sessions of 1 hour (13%) |
| Seminars | 40 sessions of 1 hour (9%) |
| Private study | 350 hours (78%) |
| Total | 450 hours |
Private study description
Private study will be required in order to prepare for seminars/classes, to review lecture notes, to prepare for forthcoming assessments, tests, and exams, and to undertake wider reading around the subject.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
Assessment component |
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| Test 3 | 10% | No | |
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Test 3 |
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Reassessment component is the same |
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Assessment component |
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| Test 2 | 6% | No | |
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Introductory Maths and Statistics Test 2 |
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Reassessment component is the same |
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Assessment component |
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| Group Project | 25% | No | |
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3000 word project |
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Reassessment component |
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| Individual Project | Yes (extension) | ||
Assessment component |
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| Test 1 | 4% | No | |
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Introductory Maths and Statistics Test 1 |
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Reassessment component is the same |
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Assessment component |
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| Online Examination | 55% | No | |
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A paper which examines the course content and ensures learning outcomes are achieved. ~Platforms - AEP
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Reassessment component is the same |
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Feedback on assessment
The Department of Economics is committed to providing high quality and timely feedback to students on their assessed work, to enable them to review and continuously improve their work. We are dedicated to ensuring feedback is returned to students within 20 University working days of their assessment deadline. Feedback is returned on a standardised assessment feedback cover sheet which gives information both by tick boxes and by free comments. Students are informed how to access their feedback, either by collecting from the Postgraduate Office, from seminar tutors or within their seminar group sessions. Module leaders often provide generic feedback for the cohort in addition to the individual-specific feedback on assessment performance.
Pre-requisites
Technical prerequisites (besides a first degree in economics) are elementary probability and statistics, mathematics for economists and algebraic facility.
Courses
This module is Core optional for:
- Year 1 of TECA-L1P6 Postgraduate Taught Economics
- Year 1 of TECA-L1P7 Postgraduate Taught Economics and International Financial Economics