EC226-30 Econometrics 1
Introductory description
This module provides students with a thorough understanding basic principles of econometrics. You will be exposed to a range of different econometric tools. You will gain an understanding of simple OLS, the limitations of the application of OLS, potential alternative estimators for the different type of data one might encounter including: cross-sectional data sets, time series data set and panel data sets.. You will gain skills and techniques to analyse problems from an intuitive, graphical and statistical perspective applying your knowledge to real world data.
Module aims
The course aims to provide students with important skills, which are of both academic and vocational value, being an essential part of the intellectual training of an economist and also useful for a career. In particular the course aims to equip students with the following competencies: 1. An awareness of the empirical approach to economics; 2. Experience in the analysis and use of empirical data in economics; 3. Understanding the nature of uncertainty and methods of dealing with it; 4. The use of econometric software packages as tools of quantitative and statistical analysis.
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 module will typically cover the following topics: Linear regression model. Least squares estimation. Dummy variables. Linear Restrictions. Classical Linear Regression Model Assumptions. Breakdown of CLRM assumptions. Errors in variables. Heteroscedasticity and implications for OLS. Structural change. Incorrect functional form and implications for OLS. Instrumental variable estimation. Limited dependent variable models. Panel data models. Model evaluation and prediction. Basics of supervised learning. Dynamic models with lagged dependent variable. Serial Correlation and implications for OLS. Types of autocorrelation. Nonstationarity and Cointegration.
Learning outcomes
By the end of the module, students should be able to:
- Acquired the tools of quantitative and data science methods necessary to study optional second and third year modules offered in economics , including regression, regularisation, prediction, and model evaluation .
- Developed their understanding of statistical (econometric) software and economics databases.
- Further developed their communication skills in presenting and analysing data.
- Developed further their techniques of statistical and data-driven methods; generated a thorough understanding of the econometrics and basic machine learning techniques, including a critical appreciation of their assumptions, limitations, and appropriate use.
Indicative reading list
Reading lists can be found in Talis
Specific reading list for the module
Subject specific skills
Applied Economics
Economic information
Economic principles
Research and debate
Abstraction
Analysis of incentives
Analytical reasoning
Analytical thinking and communication
Creative thinking
Critical thinking
Policy evaluation
Problem solving
Transferable skills
Data-based skills
IT skills
Numeracy and quantitative skills
Research skills
Information technology
Math, Statistical, data-based research skills
Oral communication
Team work skills
Written communication
Coding Skills ( Stata, R and Latex)
Study time
| Type | Required |
|---|---|
| Lectures | 57 sessions of 1 hour (19%) |
| Seminars | 18 sessions of 1 hour (6%) |
| Private study | 225 hours (75%) |
| Total | 300 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.
Students can register for this module without taking any assessment.
Assessment group D8
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
| Test | 10% | No | |
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In class 45 minute test |
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| Group Project | 15% | No | |
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Group Research Project |
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| 8 x online multiple choice question tests | 10% | No | |
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8 x online multiple choice question tests (1% each) over the two terms. One aggregate mark awarded for all 5 components. |
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| Participation | 5% | Yes (waive) | |
| Centrally-timetabled examination (On-campus) | 60% | No | |
|
A paper which examines the course content and ensures learning outcomes are achieved.
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Assessment group R4
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
| In-person Examination - Resit | 100% | No | |
|
A paper which examines the course content and ensures learning outcomes are achieved.
|
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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 for assignments is returned either on a standardised assessment feedback cover sheet which gives information both by tick boxes and by free comments or via free text comments on tabula, together with the annotated assignment. For tests and problem sets, students receive solutions as an important form of feedback and their marked assignment, with a breakdown of marks and comments by question and sub-question. Students are informed how to access their feedback, either by collecting from the Undergraduate Office or via tabula. Module leaders often provide generic feedback for the cohort outlining what was done well, less well, and what was expected on the assignment and any other common themes. This feedback also includes a cumulative distribution function with summary statistics so students can review their performance in relation to the cohort. This feedback is in addition to the individual-specific feedback on assessment performance.
Pre-requisites
Any of:
EC139-15 Mathematical Techniques A AND EC124-15 Statistical Techniques B OR
EC140-15 Mathematical Techniques B AND EC124-15 Statistical Techniques B OR
IB122-15 Business Analytics (for WBS students) OR
EC106-30 Introduction to Economics OR EC107-30 Economics 1 for GL11, MORSE and other students from the
Mathematics/Statistics Department
To take this module, you must have passed:
Post-requisite modules
If you pass this module, you can take:
- EC347-15 Topics Explored in Economics and Management
- EC310-15 Topics in Development Economics 3
- EC310-15 Topics in Development Economics 3
- EC244-15 Introduction to Applied Data Science for Economists
- EC348-15 Research in Policy Evaluation
- EC349-15 Data Science for Economists
- EC306-15 Econometrics 2: Time Series
- EC343-15 Topics in Applied Economics (3b)
- EC343-15 Topics in Applied Economics (3b)
- EC356-15 City, Regions and Economic Policy
- EC356-15 City, Regions and Economic Policy
- EC346-15 Research Methods in Economics
- EC346-15 Research Methods in Economics
- EC331-30 Research in Applied Economics
- EC331-30 Research in Applied Economics
- EC338-15 Econometrics 2: Microeconometrics
- EC318-15 Labour Economics
- EC318-15 Labour Economics
- EC313-15 The International Economy in the Twentieth Century
Anti-requisite modules
If you take this module, you cannot also take:
- EC203-30 Applied Econometrics
Courses
This module is Core for:
-
TECA-L1PA Postgraduate Taught Economics (Diploma plus MSc)
- Year 1 of L1PA Economics (Diploma plus MSc)
- Year 1 of L1PA Economics (Diploma plus MSc)
- Year 2 of UECA-3 Undergraduate Economics 3 Year Variants
- Year 2 of UECA-L1N2 Undergraduate Economics and Management
This module is Core optional for:
-
UECA-LM1D Undergraduate Economics, Politics and International Studies
- Year 2 of LM1D Economics, Politics and International Studies
- Year 2 of LM1D Economics, Politics and International Studies
-
UPHA-L1CA Undergraduate Economics, Psychology and Philosophy
- Year 2 of L1CC Economics, Psychology and Philosophy (Behavioural Economics Pathway)
- Year 2 of L1CD Economics, Psychology and Philosophy (Economics with Philosophy Pathway)
- Year 2 of ULNA-R1L4 Undergraduate French and Economics (4-year)
- Year 2 of ULNA-R2L4 Undergraduate German and Economics (4-year)
- Year 2 of ULNA-R4L1 Undergraduate Hispanic Studies and Economics (4-year)
- Year 2 of ULNA-R3L4 Undergraduate Italian and Economics (4-year)
- Year 2 of UMAA-GL11 Undergraduate Mathematics and Economics
- Year 2 of UECA-GL12 Undergraduate Mathematics and Economics (with Intercalated Year)
- Year 2 of ULNA-R9L1 Undergraduate Modern Languages and Economics (4-year)
-
UPHA-V7ML Undergraduate Philosophy, Politics and Economics
- Year 2 of V7MR Philosophy, Politics and Economics (Bipartite with Economics Major)
- Year 2 of V7MR Philosophy, Politics and Economics (Bipartite with Economics Major)
- Year 2 of V7MR Philosophy, Politics and Economics (Bipartite with Economics Major)
- Year 2 of V7MP Philosophy, Politics and Economics (Bipartite)
- Year 2 of V7MP Philosophy, Politics and Economics (Bipartite)
- Year 2 of V7MP Philosophy, Politics and Economics (Bipartite)
- Year 2 of V7MP Philosophy, Politics and Economics (Bipartite)
- Year 2 of V7ML Philosophy, Politics and Economics (Tripartite)
- Year 2 of V7ML Philosophy, Politics and Economics (Tripartite)
- Year 2 of V7ML Philosophy, Politics and Economics (Tripartite)
This module is Optional for:
- Year 4 of UECA-GL12 Undergraduate Mathematics and Economics (with Intercalated Year)
-
UPHA-V7ML Undergraduate Philosophy, Politics and Economics
- Year 3 of V7MP Philosophy, Politics and Economics (Bipartite)
- Year 3 of V7ML Philosophy, Politics and Economics (Tripartite)
- Year 3 of V7ML Philosophy, Politics and Economics (Tripartite)
- Year 3 of V7ML Philosophy, Politics and Economics (Tripartite)
-
UPHA-V7MM Undergraduate Philosophy, Politics and Economics (with Intercalated year)
- Year 4 of V7MM Philosophy, Politics and Economics (Tripartite) (with Intercalated year)
- Year 4 of V7MM Philosophy, Politics and Economics (Tripartite) (with Intercalated year)