Module Information
Course Delivery
Delivery Type | Delivery length / details |
---|---|
Lecture | 30 Hours. |
Seminars / Tutorials | 6 Hours. |
Practical | 6 Hours. 6 PC practical workshops |
Assessment
Assessment Type | Assessment length / details | Proportion |
---|---|---|
Semester Exam | 3 Hours Unseen written examination | 60% |
Semester Assessment | Assessment 1 | 10% |
Semester Assessment | Assessment 2 | 10% |
Semester Assessment | Assessment 3 | 20% |
Supplementary Exam | 3 Hours Unseen written examination Repeat failed elements | 60% |
Supplementary Assessment | Assessment 1 Repeat failed elements | 10% |
Supplementary Assessment | Assessment 2 Repeat failed elements | 10% |
Supplementary Assessment | Assessment 3 Repeat failed elements | 20% |
Learning Outcomes
On successful completion of this module students should be able to:
* Recognise a set of results from an OLS regression;
* Carry out a regression using microfit;
* Recognise key diagnostic tests;
* Describe the various remedies of these problems;
* Assess the policy implications of econometric models.
Aims
This module introduces students to linear regression in economics, and the estimation, inference and hypothesis testing procedures involved. It builds from this introduction to help students to understand the implications of the failure of the Ordinary Least Squares Gauss-Markov aassumptions. Students are also introduced to how to correct these problems when they are present.
Brief description
This module presents the basics of econometrics governing failure of the Gauss Markov assumptions and the remedy to these problems.
Content
- Overview of Econometrics
- Causality versus Correlation
- Ordinary Least Squares regression
- Key Gauss-Markov assumptions
- Properties of the OLS Estimator
- Confidence Intervals
- Hypothesis Testing
- Violations of the Gauss-Markov Assumptions
- Multicollinearity
- Autocorrelation
- Heteroskedasticity
- Model Specification and Diagnostic Testing
- Time series econometrics: stochastic process, unit roots and stationarity, spurious regressions, cointegration, forecasting, diagnostic testing
Module Skills
Skills Type | Skills details |
---|---|
Application of Number | * Development of quantitative (mathematical, statistical, econometric) skills |
Communication | * Development of oral and written communication including data responce |
Improving own Learning and Performance | * Development of quantitative analytical skills instrumental for learning in other moduls |
Information Technology | * Use of statistical (computer) software for data and regression analysis |
Personal Development and Career planning | * Development of quantitative analtyical skills useful in a wide range of professions and in further study |
Problem solving | * Identifying the problem to be solved * Finding pertinent data in order to solve the problem * Application of appropriate methods and statistical tools for solving the problem * Understanding and interpretation of results. |
Research skills | * Basic Research Skills pertaining to operationalization of economic theory into testable propositions * Testing these propositions using appropriate data and statistical techniques * Analysis of economic data |
Subject Specific Skills | * Use of statistical computer software to assess economic performance * Economic and policy analysis (in other subject areas of economics) |
Team work | * Team working skills through self-study working groups |
Reading List
General TextKoop, Gary. (2000.) Analysis of economic data /by Gary Koop. John Wiley Primo search Maddala, G. S. (1992.) Introduction to econometrics /G.S.Maddala. Maxwell Macmillan International Primo search Pesaran, M.Hashem (1997.) Working with Microfit 4.0 :interactive econometric analysis : [Dos version] /M.Hashem Pesaran and Bahram Pesaran. Oxford University Press Primo search Stewart, J (1991) Econometrics Philip Allan Primo search Recommended Text
Dougherty, C Introduction to Econometrics 2nd Edition Oxford University Press Primo search Gujarati, Damodar N. (2003.) Basic econometrics /Damodar N. Gujarati. McGraw-Hill Primo search
Notes
This module is at CQFW Level 6