Module description


This module follows on from the first year course BEE1023 - Introduction to Econometrics, and broadens the knowledge of basic econometrics. It will equip you with the skills needed to successfully study econometric problems involving time series and panel data, 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.

Full module specification

Module title:Econometrics
Module code:BEE2031
Module level:2
Academic year:2020/1
Module lecturers:
  • Dr Xiaohui Zhang - Lecturer
Module credit:15
ECTS value:




Duration of module: Duration (weeks) - term 1:


Module aims

The aim of this module is to develop the knowledge and skills taught in BEE1023 - Introduction to Econometrics and focus on the analysis of economic time series and panel data. It will equip students with skills to tackle many econometric problems in economics involving the use of those types of data.

ILO: Module-specific skills

  • 1. Demonstrate competent knowledge of a variety of statistical techniques (described in the syllabus plan) that can be used to estimate models, assess their correct specification and make inferences under different assumptions in the context of problems arising in the field of econometrics.
  • 2. Interpret correctly the estimated results and the statistical tests performed.

ILO: Discipline-specific skills

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

ILO: Personal and key skills

  • 5. Correctly perform mathematical calculations
  • 6. Demonstrate a competent level of logical thinking and analytical reasoning
  • 7. Demonstrate good problem solving skills

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
Contact Hours22Lectures
Contact Hours11Tutorials

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Weekly tutorial exercises1 hour1-7ELE

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
Mid-term test201 hour1-7Exam solutions will be posted on ELE
Exam801.5 hours1-7Exams 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
ExaminationExam 1.5 hours (100%)1-7August Examination Period

Syllabus plan

  • Specification and Data Problems
  • Basic Regression Analysis with Time Series Data
  • Further Issues in Using OLS in Time Series
  • Pooling Cross Sections across Time: Simple Panel Data Models
  • Advanced Panel Data Models
  • Instrumental Variables Estimation and Two Stage Least Squares
  • Limited Dependent Variable Models and Sample Selection Corrections

Indicative learning resources - Basic reading

Basic reading:

  • Wooldridge, J.M. (2016), Introductory Econometrics, A Modern Approach, 6th Ed., United Kingdom: South-Western, Thomson Learning (main textbook)
  • Gujarati, D. N. (2003), Basic Econometrics, 4th edition, New York: McGraw–Hill.
  • Stock, J and Watson, M. (2006), Introduction to Econometrics, London, Addison-Wesley

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