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School of Social Sciences

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BAEcon Economics
Learn how the social sciences can help you to understand today's world.

BAEcon Economics

Year of entry: 2018

Course unit details:

Unit code ECON20110
Credit rating 20
Unit level Level 2
Teaching period(s) Full year
Offered by Economics
Available as a free choice unit? Yes


See course Blackboard pages.


Unit title Unit code Requirement type Description
Advanced Mathematics ECON10071 Pre-Requisite Compulsory
Advanced Statistics ECON10072 Pre-Requisite Compulsory
ECON10001 Pre-Requisite Compulsory
ECON10132 Pre-Requisite Compulsory
Pre Requisites: (ECON1001 & ECON10132) or (ECON10071 & ECON10072)


The aims of this course are:

  1. To provide students with an understanding of the quantitative methods and tools that economists use and how they can be appropriately applied and interpreted. These methods and tools are used in practical and academic settings to test economic theories and measure magnitudes that are relevant for economic policy analysis and other decisions. These methods are a key element of the professional training an economist; they will provide a foundation for subsequent study of applied and quantitative topics and are useful in many careers in economics.
  2. The course aims to equip students with a number of core competencies including: (i) an awareness of the main empirical approach to economics, (ii) experience in the analysis and use of data and software packages as tools of quantitative and statistical analysis to answer topical economic questions, (iii) an understanding of the nature of uncertainty and methods of making inference in the presence of uncertainty.


Learning outcomes

The objectives of this course are that students will be able to:

  1. Understand the main techniques of quantitative economics and econometrics, including their strengths and limitations, at a level appropriate for an economics graduate.
  2. Understand how these techniques can be applied to test economic theories and measure economic magnitudes, and have some knowledge of methods and results in selected areas of the applied economics literature.
  3. Have some practical experience of the application of econometric methods based on practical exercises.
  4. Have acquired the necessary skills and knowledge to be able to critically appraise work in the area of applied economics.
  5. Have a good intuitive and theoretical grasp of the dangers, pitfalls and problems encountered in doing applied modelling.
  6. Have the necessary background material so that they are able to go on to study more advanced and technical material in the area of econometrics.


This course will introduce students to the theory and practice of econometric analysis. Each week part of the lecture will focus on the theoretical underpinnings of econometric analysis, and the remaining part of the lecture and associated example and computer sessions will focus on the practice and application of these ideas, with the aim of providing students with practical and intuitive real world applications of the theory.

Semester 1 will cover:

  • Similar linear regression models.
  • Multiple regression analysis.
  • Inference.
  • Functional form and dummy variables.
  • Omitted variable bias.
  • Instrumental variables.
  • Panel data.
  • Other advanced methods.


Semester 2 will cover:

  • Parameter properties.
  • Asymptotic inference.
  • Time-series data and time-series modelling.
  • Heteroscedasticity.
  • Autocorrelation.
  • Structural breaks.
  • Binary dependent variable models.
  • Maximum likelihood.
  • Bayesian inference.


Teaching and learning methods

Lectures and exercise classes.

Employability skills

Analytical skills
Ability to analyse and interpret quantitative data.
A fluency in using IT/computers for statistical research (programming skills).

Assessment methods

Semester 1:

  • Coursework - 2 problem sets, assessed by online quiz (2 * 5% = 10%).
  • Mid-Term Exam - multiple choice questions (20%).
  • Final Exam - short written answers (70%).

Semester 2:

  • Coursework - 2 problem sets, assessed by online quiz (2 * 5% = 10%).
  • Mid-term Exam - multiple choice questions (20%).
  • Final Exam - short written answers (70%).


Feedback methods

  • Weekly online quizzes
  • Tutorial feedback.
  • PASS groups.
  • Office hours.
  • Revision sessions.
  • Discussion boards.

Recommended reading

The main textbook for this course is:

  • Wooldridge, J.M. (2013) Introductory Econometrics: A Modern Approach, 5th ed., Cengage (If you can get hold of the 4th edition that is absolutely sufficient.)

Note: You do not need to buy this book. You can purchase a custom book for Econometrics at Manchester:

  • Econometrics, 2nd Custom Edition for The University of Manchester, compiled by Andrews, Becker, Golan and Lincoln. ISBN 9781473759565.

This book contains the entire Wooldridge book and some additional chapters on the statistical basis we expect you know. It is less than half the price of the Wooldridge book. It can be purchased from the Blackwells Bookshop. The book is also available for FREE as a digital download via the University Library (Further details will be on the course website).

Study hours

Scheduled activity hours
Assessment written exam 3
Lectures 32
Tutorials 9
Independent study hours
Independent study 156

Teaching staff

Staff member Role
James Lincoln Unit coordinator

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