Gwybodaeth Modiwlau

Module Identifier
Module Title
Introduction to Econometrics
Academic Year
Semester 2 (Taught over 2 semesters)
Other Staff

Course Delivery

Delivery Type Delivery length / details
Lecture 30 Hours.
Seminars / Tutorials 6 Hours.
Practical 6 Hours. 6 PC practical workshops


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.


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.


  • 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 Text
Koop, 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


This module is at CQFW Level 6