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Study information

Introduction to Econometrics

Module titleIntroduction to Econometrics
Module codeBEE1023
Academic year2024/5
Credits15
Module staff

Dr Eva Poen (Convenor)

Dr Amy Binner (Lecturer)

Duration: Term123
Duration: Weeks

11

Number students taking module (anticipated)

350

Module description

BEE1023 introduces students to the theory and application of econometrics.

This module requires students to have at least a Grade B in A Level Mathematics (or equivalent), OR, for BSc Finance pathway students only, BEA1XXX Statistical Methods for Accounting and Finance

Students who wish to study this module must have taken one of BEE1022, BEE1025, BEA1012 or INT1003.

The module is not available to students who have studied MTH1004.


Additional Information:

Employability

The module introduces methods of empirical analysis which are frequently employed in academia and businesses across many disciplines and industries.

Research in Teaching

Students will study and replicate examples from various empirical research projects in economics

Module aims - intentions of the module

BEE1023 aims to familiarise students with bivariate and multivariate linear regression analysis. The contents of this module form the basis for all econometrics teaching in the undergraduate economics programmes.

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

On successfully completing the module you will be able to...

  • 1. select, fit and interpret linear regression models in the context of economic theory;
  • 2. demonstrate understanding of estimators, their properties and sampling distributions under standard assumptions;
  • 3. perform and interpret hypothesis tests involving single coefficients, a linear combination of coefficients and multiple exclusion restrictions;
  • 4. demonstrate understanding of how software is used in econometric analysis.

ILO: Discipline-specific skills

On successfully completing the module you will be able to...

  • 5. demonstrate awareness of the role and contribution that econometric methods make in the understanding of economic models;
  • 6. demonstrate awareness of the limitations of econometric methods;
  • 7. demonstrate ability to apply mathematical and statistical methods to economic problems;
  • 8. develop awareness of common difficulties arising in the analysis of economic data.

ILO: Personal and key skills

On successfully completing the module you will be able to...

  • 9. develop data analysis skills and the ability to communicate about numerical evidence.

Syllabus plan

  • The Nature of Econometrics
  • The Simple Regression Model
  • Multiple Regression Analysis: Estimation  
  • Multiple Regression Analysis: Hypothesis Testing and Confidence Intervals
  • Multiple Regression Analysis: Categorical variables and further issues 

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
321180

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Scheduled Learning and Teaching Activity22Lectures
Scheduled Learning and Teaching Activity10Tutorials
Guided Independent Study118Reading and preparation for lectures, tutorials and assessments.

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Weekly tutorial exercises50 minutes1-9In class

Summative assessment (% of credit)

CourseworkWritten examsPractical exams
20800

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Five online homework quizzes 20approx. 30 minutes each1-9ELE
Mid-term test 201 hour1-2,4-9Final grade & feed back will be posted on ELE
Final examination 601.5 hours1-9Final grade & feed back will be posted on ELE

Details of re-assessment (where required by referral or deferral)

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
Five online homework quizzes (20%)Single online homework quiz (20%)1-9August/September Reassessment Period
Mid-term test (20%)Examination (1 hour, 20%)1-2,4-9August/September Reassessment Period
Final examination (60%)Examination (1.5 hours, 60%)1-9August/September Reassessment Period

Re-assessment notes

If you pass the module overall, you will not be referred in any component – even if you have not passed one or more individual components.

Indicative learning resources - Basic reading

Mandatory reading: selected chapters of the textbook below

Wooldridge, J.M. (2020), Introductory Econometrics: A Modern Approach, 7th edition, CENGAGE Learning.

Previous editions of the same textbook may be used.

Key words search

Econometrics, econometric modelling

Credit value15
Module ECTS

7.5

Module pre-requisites

This module requires students to have at least a Grade B in A Level Mathematics (or equivalent), OR, for BSc Finance pathway students only, BEA1014 Statistical Methods for Accounting and Finance

Module co-requisites

Cannot be taken with MTH1004 (non-requisite)

NQF level (module)

4

Available as distance learning?

Yes

Origin date

01/09/2006

Last revision date

01/03/2023