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University of Exeter Business School


Module titleEconometrics
Module codeBEE2031
Academic year2023/4
Module staff

Dr Samuel Engle (Lecturer)

Duration: Term123
Duration: Weeks




Number students taking module (anticipated)


Module description


This module follows on from the first-year course BEE1023 Introduction to Econometrics. It broadens the knowledge of basic econometrics. It will equip you with the skills needed to successfully study econometric problems involving different types of variables and data structure, which are often analyzed in economics, business and management.

Additional Information: 


The whole content of this module is applicable across boundaries and is not specific to any country.


All of the resources for this module are available on the ELE (Exeter Learning Environment).


This module helps students develop data analysis techniques and skills which are essential for working in the government and the private sector, such as the consulting industry.

Module aims - intentions of the module

The aim of this module is to develop the knowledge and skills taught in BEE1023 - Introduction to Econometrics and focus on applying econometric techniques to solve economic problems, from identifying causal effects of economic policies to quantify the existence of discrimination in the labour market.  It will equip students with skills to tackle many econometric problems in economics involving the use of different types of data.

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

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

  • 1. Demonstrate competent knowledge of a variety of econometric techniques
  • 2. Interpret correctly economic data and estimates

ILO: Discipline-specific skills

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

  • 3. Explain satisfactorily the underlying models and techniques in economic research
  • 4. Demonstrate good mathematical and computational skills

ILO: Personal and key skills

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

  • 5. Demonstrate a competent level of logical thinking and analytical reasoning
  • 6. Demonstrate good problem solving skills

Syllabus plan

    • Population vs. sample  

    • Law of large numbers and central limit theorem  

    • Linear prediction vs. linear econometric model  

    • Decomposition of effects for linear regression models  

    • Measurement error, omitted variable bias and simultaneity bias  

    • Instrumental variables and Two Stage Least Squares  

    • Nonlinear econometric models. 

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

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Scheduled learning and teaching activity11Lectures
Scheduled learning and teaching activity11Tutorials
Guided independent study128Reading, preparation for classes and assessments

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Weekly tutorial1 hour1-6Tutorial exercise solutions will be posted on ELE

Summative assessment (% of credit)

CourseworkWritten examsPractical exams

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Midterm test 11045 minutes1-6Exam solutions will be posted on ELE
Midterm test 21045 minutes1-6Exam solutions will be posted on ELE
Final exam802 hours1-6Exam solutions 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
Midterm test 1 (10%) Midterm test 1 (10%)1-6August/September reassessment period
Midterm test 1 (10%) Midterm test 2 (10%)1-6August/September reassessment period
Final exam (80%) Exam 2 hours (80%) 1-6August/September reassessment period

Indicative learning resources - Basic reading

Basic reading: 

Slides and notes prepared by lecturers and pedagogical articles (e.g. Journal of Economic Perspectives).

Optional reading:

Stock, J. & Watson, M. (2016). Introduction to econometrics. London: Addison-Wesley.

Wooldridge, J.M. (2020). Introductory econometrics: A modern approach (7th ed.). Australia: Cengage. (Older editions can be used)

Key words search

Econometrics, Statistics, Quantitative Methods.

Credit value15
Module ECTS


Module pre-requisites


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NQF level (module)


Available as distance learning?


Origin date


Last revision date