Introduction to Econometrics

Module description

This module introduces students to the theory and application of econometrics, building on the statistical methods learned in BEE1022 Introduction to Statistics.

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.

Full module specification

Module title:Introduction to Econometrics
Module code:BEE1023
Module level:1
Academic year:2016/7
Module lecturers:
  • Dr Eva Poen - Convenor
Module credit:15
ECTS value:

7.5

Pre-requisites:

None

Co-requisites:

BEE1022

Duration of module: Duration (weeks) - term 2:

11

Module aims

This module 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.

ILO: Module-specific skills

  • 1. select, fit and interpret linear regression models in the context of economic theory
  • 2. recognise, and perform tests for, the common problems that arise in econometric analysis.

ILO: Discipline-specific skills

  • 3. acquire an awareness of the role and contribution that elementary econometric methods make in the understanding of models used in the study of economics.

ILO: Personal and key skills

  • 4. improve your data analysis skills, your ability to understand certain technical materials and your ability to write concisely about numerical evidence.

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

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
271230

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Contact Hours22Lectures
Contact Hours5Tutorials

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Bi-weekly tutorial problem setsWeeks 2-111-4Verbal

Summative assessment (% of credit)

CourseworkWritten examsPractical exams
09010

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
5 online quizzes10No more than 20 minutes each1-4Online assessment
Written Examination902 hours1-4Discussion
0
0
0
0
0

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

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
Online quizzes and examWritten examination (100%) 2 hours1-4Aug/Sep

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 
  • Heteroskedasticity

Indicative learning resources - Basic reading

Basic reading:

Wooldridge, J.M. (2014), Introduction to Econometrics, CENGAGE Learning (main textbook).

D.N. Gujarati and D.C. Porter (2009), Basic Econometrics, McGraw-Hill.

G.S. Maddala and K. Lahiri (2009), Introduction to Econometrics, John Wiley & Sons Ltd.

Module has an active ELE page?

Yes

Origin date

01/09/2006

Last revision date

01/03/2016